Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features | Paper Citation Record

Observation 82bc7a83-1e20-4fd8-afb9-6502d2f93ec8 · outbound

This paper cites E, Oliynyk, A.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features E, Oliynyk, A

Reference 1

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This paper cites S, Barnard, A.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features S, Barnard, A

Reference 2

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This paper cites P, Cs\' a nyi, G, & Ceriotti, M.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features P, Cs\' a nyi, G, & Ceriotti, M

Reference 3

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

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This paper cites P, Kov\' a cs, D.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features P, Kov\' a cs, D

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

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This paper cites R, & Corminboeuf, C.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features R, & Corminboeuf, C

Reference 7

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This paper cites (2023) Matrix of orthogonalized atomic orbital coefficients representation for radicals and ions.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2023) Matrix of orthogonalized atomic orbital coefficients representation for radicals and ions

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This paper cites A, Hutchison, L, Huang, B, Gilmer, J, Schoenholz, S.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features A, Hutchison, L, Huang, B, Gilmer, J, Schoenholz, S

Reference 9

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This paper cites (2024) Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2024) Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials

Reference 10

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

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This paper cites F, & von Lilienfeld , O.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features F, & von Lilienfeld , O

Reference 12

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This paper cites (2020) Hydration free energies from kernel-based machine learning: Compound-database bias.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2020) Hydration free energies from kernel-based machine learning: Compound-database bias

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This paper cites J, & von Lilienfeld , O.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features J, & von Lilienfeld , O

Reference 14

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This paper cites (2017) Molecular dynamics fingerprints (mdfp): Machine learning from md data to predict free-energy differences.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2017) Molecular dynamics fingerprints (mdfp): Machine learning from md data to predict free-energy differences

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This paper cites (2007) Random Features for Large-Scale Kernel Machines eds.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2007) Random Features for Large-Scale Kernel Machines eds

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This paper cites X, Suresh, A.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features X, Suresh, A

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 18

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This paper cites (2023) Simplex random features , ICML'23.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2023) Simplex random features , ICML'23

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This paper cites (2024) Trigonometric Quadrature F ourier Features for Scalable G aussian Process Regression , Proceedings of Machine Learning Research eds.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2024) Trigonometric Quadrature F ourier Features for Scalable G aussian Process Regression , Proceedings of Machine Learning Research eds

Reference 20

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This paper cites J, Faber, F.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features J, Faber, F

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This paper cites J & Algazi, V.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features J & Algazi, V

Reference 22

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This paper cites V, Michiardi, P, & Filippone, M.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features V, Michiardi, P, & Filippone, M

Reference 23

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This paper cites (2019) Deep kernel learning via random fourier features.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2019) Deep kernel learning via random fourier features

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This paper cites (2020) Walsh-Hadamard Variational Inference for Bayesian Deep Learning eds.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2020) Walsh-Hadamard Variational Inference for Bayesian Deep Learning eds

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This paper cites (2022) On connecting deep trigonometric networks with deep G aussian processes: Covariance, expressivity, and neural tangent kernel.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2022) On connecting deep trigonometric networks with deep G aussian processes: Covariance, expressivity, and neural tangent kernel

Reference 26

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 27

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This paper cites (2009) Kernel Methods for Deep Learning eds.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2009) Kernel Methods for Deep Learning eds

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This paper cites E, Leiter, K.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features E, Leiter, K

Reference 29

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This paper cites S, Qu, X, Jain, A, Ong, S.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features S, Qu, X, Jain, A, Ong, S

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:35.621745Z

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This paper cites L & Guthrie, J.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features L & Guthrie, J

Reference 31

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This paper cites Y, Loeffler, H.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Y, Loeffler, H

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This paper cites L, Shirts, M, Lim, N, Chodera, J, Beauchamp, K, & Lee-Ping.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features L, Shirts, M, Lim, N, Chodera, J, Beauchamp, K, & Lee-Ping

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This paper cites (2022) A comprehensive survey of loss functions in machine learning.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2022) A comprehensive survey of loss functions in machine learning

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

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This paper cites A, Xu, Y, & Zhang, H.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features A, Xu, Y, & Zhang, H

Reference 36

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 38

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This paper cites P, Kondor, R, & Cs\'anyi, G.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features P, Kondor, R, & Cs\'anyi, G

Reference 39

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This paper cites A, Christensen, A.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features A, Christensen, A

Reference 40

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This paper cites S, Bratholm, L.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features S, Bratholm, L

Reference 41

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 42

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This paper cites Generalized convolutional many body distribution functional representations.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Generalized convolutional many body distribution functional representations

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 44

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This paper cites B & Pedersen, M.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features B & Pedersen, M

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This paper cites M, & Deane, C.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features M, & Deane, C

Reference 46

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This paper cites https://kjelljorner.github.io/morfeus.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features https://kjelljorner.github.io/morfeus

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 48

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 49

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

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This paper cites A & Nachbar, R.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features A & Nachbar, R

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 52

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 53

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Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 54

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This paper cites (2014) Bringing the mmff force field to the rdkit: implementation and validation.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2014) Bringing the mmff force field to the rdkit: implementation and validation

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Observation 72cf7bd2-7f63-4bef-a936-57b27b0a423a · outbound

This paper cites RDKit: Open-source cheminformatics.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features RDKit: Open-source cheminformatics

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Observation 58529f6a-2666-4bd1-a3c1-b5b0c82ffbf3 · outbound

This paper cites QML2: Procedures for machine learning in chemistry. https://github.com/qml2code/qml2.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features QML2: Procedures for machine learning in chemistry. https://github.com/qml2code/qml2

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:29.776398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27223ca1-a806-437e-ae38-aa31cb5b392c · outbound

This paper cites an unresolved cited work.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:44:29.600474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37559656-d8da-4a14-8bf0-082249587ea3 · outbound

This paper cites V, J \"a ger, M.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features V, J \"a ger, M

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:29.433520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdf5e3dd-4d75-47c8-937e-a5b1371263f7 · outbound

This paper cites (2024) Transfer learning for molecular property predictions from small datasets.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2024) Transfer learning for molecular property predictions from small datasets

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:29.276012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3cc5a16-fa1b-4430-a863-d521a1e232ba · outbound

This paper cites (2015) Libcint: An efficient general integral library for gaussian basis functions.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2015) Libcint: An efficient general integral library for gaussian basis functions

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:29.096530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c247572-b101-4f26-a20d-3adfb2fcffe6 · outbound

This paper cites C, Blunt, N.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features C, Blunt, N

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:28.895857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b23b494-5df4-41bc-a351-5d2ba1c3b089 · outbound

This paper cites S, Bogdanov, N.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features S, Bogdanov, N

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:28.703545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06d96635-d093-4f9b-965e-63eaa9b43907 · outbound

This paper cites J, Stewart, R.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features J, Stewart, R

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:28.536025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2700167-3b76-462c-a3ac-2702f7df55b1 · outbound

This paper cites J, Ditchfield, R, Stewart, R.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features J, Ditchfield, R, Stewart, R

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:28.343421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b65f538-86db-4b5d-a5f2-a022cc3f3a64 · outbound

This paper cites (2013) Intrinsic atomic orbitals: An unbiased bridge between quantum theory and chemical concepts.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2013) Intrinsic atomic orbitals: An unbiased bridge between quantum theory and chemical concepts

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:28.125596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b38356a9-4914-4dda-ad1c-d0c59fb1b4c6 · outbound

This paper cites R, Calvino Alonso, Y, Fabrizio, A, & Corminboeuf, C.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features R, Calvino Alonso, Y, Fabrizio, A, & Corminboeuf, C

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:27.954428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0aee4a75-a5db-4d8e-bc3d-8621f9639225 · outbound

This paper cites S, Seeger, R, & Pople, J.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features S, Seeger, R, & Pople, J

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:27.706332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8af55e27-6ca9-46a4-a893-ca0a3ee1cc61 · outbound

This paper cites D & Chandler, G.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features D & Chandler, G

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:27.431419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a066e01b-08c7-4904-b297-3b935a5e8bad · outbound

This paper cites N, Pross, A, McGrath , M.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features N, Pross, A, McGrath , M

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:27.212893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 700cbb1e-4e65-4152-9e56-caec77158928 · outbound

This paper cites A, McGrath, M.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features A, McGrath, M

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:26.949337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50e54c85-9937-437b-bc2e-4553f9025521 · outbound

This paper cites M & Boys, S.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features M & Boys, S

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:26.662852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29a16ba6-0e73-45f7-a2b4-dd659ae143e7 · outbound

This paper cites V, Cramer, C.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features V, Cramer, C

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:26.452910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 307bae26-9553-40ca-b23c-2e71c0b20811 · outbound

This paper cites A, M \"u ller, K.-R, & Tkatchenko, A.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features A, M \"u ller, K.-R, & Tkatchenko, A

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:26.143325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d04c2a14-60bd-4864-b3fa-954b06fcc374 · outbound

This paper cites an unresolved cited work.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:44:25.917598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81e9d5a4-2729-4180-b5be-7966704ec211 · outbound

This paper cites (2019) Molecule property prediction based on spatial graph embedding.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2019) Molecule property prediction based on spatial graph embedding

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:25.698097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45aa9e27-9563-434a-ba36-ae33546937df · outbound

This paper cites (2021) Graphical gaussian process regression model for aqueous solvation free energy prediction of organic molecules in redox flow batteries.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2021) Graphical gaussian process regression model for aqueous solvation free energy prediction of organic molecules in redox flow batteries

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:25.412722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22e8014c-2c29-470a-a02d-8591f8858836 · outbound

This paper cites (2022) Molecular contrastive learning with chemical element knowledge graph.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2022) Molecular contrastive learning with chemical element knowledge graph

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:25.257787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07482d30-f99f-4dc9-bc09-503485a2df5d · outbound

This paper cites (2022) Accurate prediction of aqueous free solvation energies using 3d atomic feature-based graph neural network with transfer learning.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2022) Accurate prediction of aqueous free solvation energies using 3d atomic feature-based graph neural network with transfer learning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:25.250929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb8a554a-4553-401c-a226-1ab81af394c6 · outbound

This paper cites L, & Izgorodina, E.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features L, & Izgorodina, E

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:25.128316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0da82a7-9afb-46f8-bdef-1a0897256c2b · outbound

This paper cites (2023) Multitask deep ensemble prediction of molecular energetics in solution: From quantum mechanics to experimental properties.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2023) Multitask deep ensemble prediction of molecular energetics in solution: From quantum mechanics to experimental properties

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:24.964807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f94fe59-5c31-486c-855f-c555a9c96871 · outbound

This paper cites K, Prakash, M.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features K, Prakash, M

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:24.740198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17ef46a9-49cb-481f-acf3-64348f3e4a33 · outbound

This paper cites (2025) A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2025) A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:24.568822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3b519e9-c11b-42b3-bc27-c85b2d86e364 · outbound

This paper cites (2021) A comprehensive survey on transfer learning.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2021) A comprehensive survey on transfer learning

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:24.392059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96c68255-7610-497a-b166-b34e1db77555 · outbound

This paper cites H & Green, W.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features H & Green, W

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:24.227949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 222c3cdf-6f02-461e-ad59-4f3420c11cbd · outbound

This paper cites (2022) Improving molecular property prediction through a task similarity enhanced transfer learning strategy.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2022) Improving molecular property prediction through a task similarity enhanced transfer learning strategy

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:24.061296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12b7b9db-740a-4e06-9f85-b186e267c78c · outbound

This paper cites (2025) Analyzing atomic interactions in molecules as learned by neural networks.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2025) Analyzing atomic interactions in molecules as learned by neural networks

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:23.740284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24ffe567-59cf-4df7-994b-49c59f133352 · outbound

This paper cites (2022) Learning the laws of lithium-ion transport in electrolytes using symbolic regression.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2022) Learning the laws of lithium-ion transport in electrolytes using symbolic regression

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:23.366284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 993ca02e-56d5-4f02-8d1b-2c5cb893cda3 · outbound

This paper cites T, Joshi, S.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features T, Joshi, S

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:23.153833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7e2df12-494e-4070-a28c-62ac33bdc8f8 · outbound

This paper cites (2024) Calisol-23: Experimental electrolyte conductivity data for various li-salts and solvent combinations.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2024) Calisol-23: Experimental electrolyte conductivity data for various li-salts and solvent combinations

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:22.857974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a321177-ddb0-43f9-a58a-2f35bad9a1c3 · outbound

This paper cites R, Millman, K.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features R, Millman, K

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:22.620878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e805d3f4-6c68-413f-937d-1878cd6f416f · outbound

This paper cites K, Pitrou, A, & Seibert, S.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features K, Pitrou, A, & Seibert, S

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:22.404754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9d17aef-00e1-4e36-b44d-06016938d6d7 · outbound

This paper cites E, Haberland, M, Reddy, T, Cournapeau, D, Burovski, E, Peterson, P, Weckesser, W, Bright, J, van der Walt , S.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features E, Haberland, M, Reddy, T, Cournapeau, D, Burovski, E, Peterson, P, Weckesser, W, Bright, J, van der Walt , S

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:22.251902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 128efcb2-e2f0-4d88-88fb-9f8d42811c05 · outbound

This paper cites C & Talbot, N.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features C & Talbot, N

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:22.040926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8c78614-7a51-4864-abbf-b1746b1f671e · outbound

This paper cites (2004) Convex Optimization.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (2004) Convex Optimization

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:21.830817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c64d1fa-d02b-431a-83d0-701e428e7884 · outbound

This paper cites (1987) Practical Methods of Optimization.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (1987) Practical Methods of Optimization

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:21.610171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1adbb0cb-600e-4c10-bf75-2bd0edecf8a4 · outbound

This paper cites C & Nocedal, J.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features C & Nocedal, J

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:21.451811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 607c13c6-e9b7-4383-9287-da92d5c6224d · outbound

This paper cites U, Corander, J, & Rinke, P.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features U, Corander, J, & Rinke, P

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:21.270375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72d7d5d4-8186-437f-93a9-ccdd47193e96 · outbound

This paper cites an unresolved cited work.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:44:21.066773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fac71a1-6bf1-4ac4-b6a0-7c39807c7a24 · outbound

This paper cites (1994) Algorithm 733: TOMP–Fortran modules for optimal control calculations.

Kernel Ridge Regression for conformer ensembles made easy with Structured Orthogonal Random Features (1994) Algorithm 733: TOMP–Fortran modules for optimal control calculations

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:44:20.843342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Reference resolution

Outbound references

Pith citing papers