DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation | Paper Citation Record

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This paper cites an unresolved cited work.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 1

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

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Observation c6712212-9cc6-4cb2-a1a0-dbd55f5eb1b7 · outbound

This paper cites one size fits all.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation one size fits all

Reference 3

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Observation b17ec274-1fbd-4a6b-8db8-218dcae67f72 · outbound

This paper cites ∂ lnπ(χi) ∂χi = [χi ln (|χi/χmax|)]−1, (45) we arrive at an expression which causes multiple prob- lems for the HMC.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation ∂ lnπ(χi) ∂χi = [χi ln (|χi/χmax|)]−1, (45) we arrive at an expression which causes multiple prob- lems for the HMC

Reference 4

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Observation 234ad986-fea1-4b23-bfe7-8f84ba93458f · outbound

This paper cites (48) As we can see, the log-prior gradients involve gradients of the log-Jacobian determinant.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation (48) As we can see, the log-prior gradients involve gradients of the log-Jacobian determinant

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:54:11.289319Z

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Observation 6c4798fd-05fe-49e4-b8a8-1d7283e86b0f · outbound

This paper cites To stack the dense layers of the network we use theSequential model within Keras.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation To stack the dense layers of the network we use theSequential model within Keras

Reference 6

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Observation b55569a0-1f62-4a9b-b783-b0514f091d31 · outbound

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

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Observation 8a437317-be6f-4e8d-9a3b-ab27f3c3fffb · outbound

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 8

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Observation 0a549671-ca01-426a-9bb5-89b79ebbef62 · outbound

This paper cites Each core uses the same trigger point, but a different random seed for the momenta, thus ensuring diverging trajectories.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Each core uses the same trigger point, but a different random seed for the momenta, thus ensuring diverging trajectories

Reference 9

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Observation af13ce56-11a4-4b4d-9b7c-77637a6e036f · outbound

This paper cites • Recompute the leapfrog scales using the co- variance matrix of the Phase I chain points.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation • Recompute the leapfrog scales using the co- variance matrix of the Phase I chain points

Reference 10

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Observation fcd48d5d-379b-48d2-b60c-d126cffcd9ce · outbound

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 11

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Observation 16777b21-7f7c-42e5-87ab-e78666030b41 · outbound

This paper cites Observation of Gravitational Waves from a Binary Black Hole Merger.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Observation of Gravitational Waves from a Binary Black Hole Merger

Reference 12

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Observation 419e4bcd-400e-4cb2-95ef-eb0285e1e4cc · outbound

This paper cites GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

Reference 13

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Observation e031a1a4-5086-4b59-a2b4-9bb5d192ee38 · outbound

This paper cites GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.041771Z

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Observation 7789225f-af2a-46a8-adad-039ae6a5630b · outbound

This paper cites GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.046218Z

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Observation eb1938f9-7a0f-459d-a318-c7815c7baa82 · outbound

This paper cites GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

Reference 16

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Observation f4c1b151-cb52-41a7-b7da-bbc2308a05ae · outbound

This paper cites GW190425: Observation of a Compact Binary Coalescence with Total Mass $\sim 3.4 M_{\odot}$.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation GW190425: Observation of a Compact Binary Coalescence with Total Mass $\sim 3.4 M_{\odot}$

Reference 17

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Observation d6fa61e4-9120-4d6b-897b-a642e4dcf5f0 · outbound

This paper cites Observation of gravitational waves from two neutron star-black hole coalescences.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Observation of gravitational waves from two neutron star-black hole coalescences

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.059569Z

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Observation 259bf228-7c70-46a5-a824-1221fa4fb509 · outbound

This paper cites Fast Fisher Matrices and Lazy Likelihoods.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Fast Fisher Matrices and Lazy Likelihoods

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.105264Z

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Observation ffe6006d-7515-475f-89e1-ef650c0c91ea · outbound

This paper cites Metropolis, A.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Metropolis, A

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.067314Z

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Observation 531dc89c-abe1-4e0a-8404-fd25eb04b8b8 · outbound

This paper cites Skilling, Bayesian Anal.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Skilling, Bayesian Anal

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.071165Z

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Observation 6beb3ed1-582e-4d23-88ae-1a5d28eafaf4 · outbound

This paper cites Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.074735Z

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Observation 602b66f1-3a05-4836-a68f-410920ff24b8 · outbound

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.078547Z

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Observation dd6885b5-1d61-4ead-ba5c-77ee8eb47dd0 · outbound

This paper cites Neal, in Handbook of Markov Chain Monte Carlo (CRC press, 2011), pp.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Neal, in Handbook of Markov Chain Monte Carlo (CRC press, 2011), pp

Reference 24

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Observation 84d4ab90-1465-4fe8-86d2-e2e4c181f209 · outbound

This paper cites Punturo, M.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Punturo, M

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T00:54:11.159075Z

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Observation a260dfda-b99d-446a-89d1-3a6db60410e1 · outbound

This paper cites The Science of the Einstein Telescope.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation The Science of the Einstein Telescope

Reference 26

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Observation 063c6c3c-e2f9-4900-8dfc-c67efded2a38 · outbound

This paper cites Cosmic Explorer: The U.S. Contribution to Gravitational-Wave Astronomy beyond LIGO.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Cosmic Explorer: The U.S. Contribution to Gravitational-Wave Astronomy beyond LIGO

Reference 27

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Observation 63d76327-f0a8-4029-9ebb-09b6bf95d1fa · outbound

This paper cites Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.097752Z

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Observation 09306407-d8b6-4752-8a8e-ef16852e6608 · outbound

This paper cites Hu and J.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Hu and J

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.101699Z

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Observation 00cb8074-f50b-489d-9f54-9a2d9f3bdd89 · outbound

This paper cites Bayesian inference for binary neutron star inspirals using a Hamiltonian Monte Carlo Algorithm.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Bayesian inference for binary neutron star inspirals using a Hamiltonian Monte Carlo Algorithm

Reference 30

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Observation 889e00a6-4e05-4943-b6a6-51cfd863a5a1 · outbound

This paper cites Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation

Reference 31

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This paper cites Morisaki, Physical Review D 104 (2021), ISSN 2470- 0029, URL http://dx.doi.org/10.1103/PhysRevD.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Morisaki, Physical Review D 104 (2021), ISSN 2470- 0029, URL http://dx.doi.org/10.1103/PhysRevD

Reference 32

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Observation 56b6a222-d5c7-470d-becd-72550a56fdb2 · outbound

This paper cites Canizares, S.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Canizares, S

Reference 33

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Observation 2ea4453b-6fe5-4114-a40d-bbcfb9533de2 · outbound

This paper cites Smith, S.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Smith, S

Reference 34

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This paper cites Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.128016Z

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Observation ee907d6b-c3f4-4299-b3d7-6410b5625b7b · outbound

This paper cites Roulet, J.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Roulet, J

Reference 37

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Observation aaacb009-e307-4982-8391-8c55acddee0b · outbound

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 38

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Observation 8f9eef88-3f2b-4aad-9b7f-e783f4907eec · outbound

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 39

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Observation d0909f2e-b5b0-4857-9e0b-405d08a71b17 · outbound

This paper cites A Hamiltonian Monte Carlo method for Bayesian Inference of Supermassive Black Hole Binaries.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation A Hamiltonian Monte Carlo method for Bayesian Inference of Supermassive Black Hole Binaries

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:54:10.739411Z

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Observation 8ce195ff-cb8f-4d5d-9550-857c69b11d84 · outbound

This paper cites The Search for Massive Black Hole Binaries with LISA.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation The Search for Massive Black Hole Binaries with LISA

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Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.189829Z

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Observation e0e3238f-8b04-4dd4-a27d-10ffee262704 · outbound

This paper cites Robust, Rapid, and Simple Gravitational-wave Parameter Estimation.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Robust, Rapid, and Simple Gravitational-wave Parameter Estimation

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Observation 985b4784-1d8f-4eeb-9137-e6f7cb699b92 · outbound

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Fast gravitational wave parameter estimation without compromises

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.154620Z

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Observation 368abded-f6b2-4673-931e-5c925c7c2b7e · outbound

This paper cites Duane, A.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Duane, A

Reference 44

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Observation f04ae142-c797-4819-8c67-aaea4f3ee3a4 · outbound

This paper cites Hajian, Phys.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Hajian, Phys

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.162392Z

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Observation 00a28b6e-814f-437b-ac03-e06484167aab · outbound

This paper cites Buonanno, B.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Buonanno, B

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:54:11.101427Z

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Observation 324b67c7-20f5-4be0-ad6d-1a65a41d5534 · outbound

This paper cites an unresolved cited work.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:54:11.089313Z

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Observation 9524c6da-9bd2-4049-9ae9-b67c35425933 · outbound

This paper cites an unresolved cited work.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:54:11.077240Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c5f4c4e-de53-4459-9085-cbf1a8c6d5c2 · outbound

This paper cites Detection, Measurement and Gravitational Radiation.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Detection, Measurement and Gravitational Radiation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.177249Z

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Observation 276da703-3903-435f-b817-4ef00faee918 · outbound

This paper cites an unresolved cited work.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.181609Z

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Observation 354f1f8f-6126-453d-9ca7-c89368202448 · outbound

This paper cites MCMC Exploration of Supermassive Black Hole Binary Inspirals.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation MCMC Exploration of Supermassive Black Hole Binary Inspirals

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.185953Z

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Observation d47ea274-b730-420b-96bc-d07398a34043 · outbound

This paper cites Constraining neutron star tidal Love numbers with gravitational wave detectors.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Constraining neutron star tidal Love numbers with gravitational wave detectors

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Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.233053Z

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Observation 8763a3df-3b0b-43a7-a15d-5cd665388b18 · outbound

This paper cites Sokal, in Functional Integration, edited by C.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Sokal, in Functional Integration, edited by C

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:54:11.065707Z

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Observation f66a58e9-2c79-4d90-bbe7-0b69b3ee3179 · outbound

This paper cites Madras and A.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Madras and A

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.198454Z

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Observation fa893392-35d3-4ee1-818f-656fb8f412b2 · outbound

This paper cites Closed-form tidal approximants for binary neutron star gravitational waveforms constructed from high-resolution numerical relativity simulations.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Closed-form tidal approximants for binary neutron star gravitational waveforms constructed from high-resolution numerical relativity simulations

Reference 55

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Observation bbe50a05-00b9-4b77-a1a4-f1e700901fcd · outbound

This paper cites Improving the NRTidal model for binary neutron star systems.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Improving the NRTidal model for binary neutron star systems

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 57

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Observation 89087de6-274c-4450-bbe0-ecb9899bcd96 · outbound

This paper cites Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era

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DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 59

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Observation 00faf266-5340-4af6-b220-20a4f86fc1ea · outbound

This paper cites Inspiral-merger-ringdown waveforms for black-hole binaries with non-precessing spins.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Inspiral-merger-ringdown waveforms for black-hole binaries with non-precessing spins

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Observation c3285842-f4ad-4745-8ffc-faa3de2c99e8 · outbound

This paper cites Matching post-Newtonian and numerical relativity waveforms: systematic errors and a new phenomenological model for non-precessing black hole binaries.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Matching post-Newtonian and numerical relativity waveforms: systematic errors and a new phenomenological model for non-precessing black hole binaries

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Observation d2079acd-21bf-4c42-af47-cbb5c64178e2 · outbound

This paper cites Damour, Phys.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Damour, Phys

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Observation 5ca3997f-1ad6-4814-b61b-68c17e8c17af · outbound

This paper cites Systematic and statistical errors in a bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Systematic and statistical errors in a bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors

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Observation 711be80e-9720-449f-9b52-9b82d61a4d04 · outbound

This paper cites Systematic parameter errors in inspiraling neutron star binaries.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Systematic parameter errors in inspiraling neutron star binaries

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Observation 86070695-27a9-4df1-b0db-09f183cf3108 · outbound

This paper cites Rapid and accurate parameter inference for coalescing, precessing compact binaries.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Rapid and accurate parameter inference for coalescing, precessing compact binaries

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Observation a6325185-92ac-4c00-bf40-a4c8a6c43ff3 · outbound

This paper cites Chollet et al., Keras, https://keras.io (2015).

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Chollet et al., Keras, https://keras.io (2015)

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Observation 298cfbe6-667e-45cb-971f-12eb382f0137 · outbound

This paper cites Abadi, A.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Abadi, A

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:54:11.025921Z

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Observation b93f20fe-7533-4dc0-9f25-c2bfe36b06d2 · outbound

This paper cites Srivastava, G.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Srivastava, G

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:54:11.012560Z

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Observation 57209e67-6242-4e12-b681-c4ea123e3f27 · outbound

This paper cites an unresolved cited work.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:54:10.999614Z

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Observation c7948816-158d-4721-8c8f-ccaf926699d1 · outbound

This paper cites Pedregosa, G.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Pedregosa, G

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Resolution: unresolved; no resolver link, observed 2026-08-16T00:54:10.263146Z

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Observation 722267e0-3ce8-4bea-ac64-cfad1d07479e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Adam: A Method for Stochastic Optimization

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Observation 55022742-7209-4db1-a249-862e753abd1b · outbound

This paper cites Revisiting Small Batch Training for Deep Neural Networks.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation Revisiting Small Batch Training for Deep Neural Networks

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This paper cites This is a factor of 30 times faster than the relative binning gradient based trajec- tories, and a factor of 7000 times faster than a naive calculation.

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation This is a factor of 30 times faster than the relative binning gradient based trajec- tories, and a factor of 7000 times faster than a naive calculation

Reference 200

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:54:11.245866Z

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