Parametric Majorization for Data-Driven Energy Minimization Methods | Paper Citation Record

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This paper cites Hidden Markov Support Vector Machines.

Parametric Majorization for Data-Driven Energy Minimization Methods Hidden Markov Support Vector Machines

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Parametric Majorization for Data-Driven Energy Minimization Methods Zico Kolter

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This paper cites On instabilities of deep learning in image reconstruction - Does AI come at a cost?.

Parametric Majorization for Data-Driven Energy Minimization Methods On instabilities of deep learning in image reconstruction - Does AI come at a cost?

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Parametric Majorization for Data-Driven Energy Minimization Methods Learning real-time MRF inference for image denoising

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Parametric Majorization for Data-Driven Energy Minimization Methods Legen- dre Functions and the Method of Random Bregman Projec- tions

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This paper cites Bauschke and Patrick L.

Parametric Majorization for Data-Driven Energy Minimization Methods Bauschke and Patrick L

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This paper cites Mirror descent and nonlin- ear projected subgradient methods for convex optimization.

Parametric Majorization for Data-Driven Energy Minimization Methods Mirror descent and nonlin- ear projected subgradient methods for convex optimization

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This paper cites A Fast Iterative Shrinkage- Thresholding Algorithm for Linear Inverse Problems.

Parametric Majorization for Data-Driven Energy Minimization Methods A Fast Iterative Shrinkage- Thresholding Algorithm for Linear Inverse Problems

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This paper cites Bennett, Gautam Kunapuli, Jing Hu, and Jong- Shi Pang.

Parametric Majorization for Data-Driven Energy Minimization Methods Bennett, Gautam Kunapuli, Jing Hu, and Jong- Shi Pang

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Parametric Majorization for Data-Driven Energy Minimization Methods Modern regularization methods for inverse problems

Reference 10

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Parametric Majorization for Data-Driven Energy Minimization Methods Bregman Distances in Inverse Problems and Partial Differential Equations

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Parametric Majorization for Data-Driven Energy Minimization Methods A Proximal-Projection Method for Finding Zeros of Set-Valued Operators

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Parametric Majorization for Data-Driven Energy Minimization Methods Bilevel approaches for learning of variational imaging models

Reference 13

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Parametric Majorization for Data-Driven Energy Minimization Methods An introduction to total variation for image analysis

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This paper cites A Convex Approach to Minimal Partitions.

Parametric Majorization for Data-Driven Energy Minimization Methods A Convex Approach to Minimal Partitions

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This paper cites A First-Order Primal-Dual Algorithm for Convex Problems with Appli- cations to Imaging.

Parametric Majorization for Data-Driven Energy Minimization Methods A First-Order Primal-Dual Algorithm for Convex Problems with Appli- cations to Imaging

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This paper cites On the ergodic con- vergence rates of a ﬁrst-order primal–dual algorithm.Math- ematical Programming, 159(1-2):253–287, Sept.

Parametric Majorization for Data-Driven Energy Minimization Methods On the ergodic con- vergence rates of a ﬁrst-order primal–dual algorithm.Math- ematical Programming, 159(1-2):253–287, Sept

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Parametric Majorization for Data-Driven Energy Minimization Methods Chan and Luminita A

Reference 18

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This paper cites Fast, Exact and Multi-scale Inference for Semantic Image Segmenta- tion with Deep Gaussian CRFs.

Parametric Majorization for Data-Driven Energy Minimization Methods Fast, Exact and Multi-scale Inference for Semantic Image Segmenta- tion with Deep Gaussian CRFs

Reference 19

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This paper cites Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions.

Parametric Majorization for Data-Driven Energy Minimization Methods Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions

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Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

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This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

Parametric Majorization for Data-Driven Energy Minimization Methods DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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This paper cites Trainable Nonlinear Re- action Diffusion: A Flexible Framework for Fast and Ef- fective Image Restoration.

Parametric Majorization for Data-Driven Energy Minimization Methods Trainable Nonlinear Re- action Diffusion: A Flexible Framework for Fast and Ef- fective Image Restoration

Reference 23

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Parametric Majorization for Data-Driven Energy Minimization Methods Learn- ing l1-based analysis and synthesis sparsity priors using bi- level optimization

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Parametric Majorization for Data-Driven Energy Minimization Methods A bi-level view of inpainting - based image compression

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This paper cites Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs.

Parametric Majorization for Data-Driven Energy Minimization Methods Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs

Reference 26

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Parametric Majorization for Data-Driven Energy Minimization Methods On Learning Optimized Reaction Diffusion Processes for Effective Im- age Restoration

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This paper cites Discriminative Training Methods for Hid- den Markov Models: Theory and Experiments with Percep- tron Algorithms.

Parametric Majorization for Data-Driven Energy Minimization Methods Discriminative Training Methods for Hid- den Markov Models: Theory and Experiments with Percep- tron Algorithms

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This paper cites End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation us- ing Structured Learning.

Parametric Majorization for Data-Driven Energy Minimization Methods End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation us- ing Structured Learning

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This paper cites An overview of bilevel optimization.

Parametric Majorization for Data-Driven Energy Minimization Methods An overview of bilevel optimization

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Parametric Majorization for Data-Driven Energy Minimization Methods The Cityscapes Dataset for Semantic Urban Scene Understanding

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Parametric Majorization for Data-Driven Energy Minimization Methods Cham- bolle

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Parametric Majorization for Data-Driven Energy Minimization Methods The structure of optimal parameters for image restoration problems

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This paper cites Bilevel Parameter Learning for Higher- Order Total Variation Regularisation Models.J Math Imag- ing Vis, 57(1):1–25, Jan.

Parametric Majorization for Data-Driven Energy Minimization Methods Bilevel Parameter Learning for Higher- Order Total Variation Regularisation Models.J Math Imag- ing Vis, 57(1):1–25, Jan

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Parametric Majorization for Data-Driven Energy Minimization Methods Foundations of Bilevel Programming

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This paper cites Is bilevel program- ming a special case of a mathematical program with com- plementarity constraints? Math.

Parametric Majorization for Data-Driven Energy Minimization Methods Is bilevel program- ming a special case of a mathematical program with com- plementarity constraints? Math

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This paper cites P´erez-Vald´es, and Nataliya Kalashnykova.

Parametric Majorization for Data-Driven Energy Minimization Methods P´erez-Vald´es, and Nataliya Kalashnykova

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This paper cites Adversarial Attacks Against Medical Deep Learning Systems.

Parametric Majorization for Data-Driven Energy Minimization Methods Adversarial Attacks Against Medical Deep Learning Systems

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This paper cites Composite Optimiza- tion by Nonconvex Majorization-Minimization.

Parametric Majorization for Data-Driven Energy Minimization Methods Composite Optimiza- tion by Nonconvex Majorization-Minimization

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This paper cites On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization.

Parametric Majorization for Data-Driven Energy Minimization Methods On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

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Parametric Majorization for Data-Driven Energy Minimization Methods Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation

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This paper cites Recht, Daniel K.

Parametric Majorization for Data-Driven Energy Minimization Methods Recht, Daniel K

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This paper cites A Deep Learning Architecture for Limited- Angle Computed Tomography Reconstruction.

Parametric Majorization for Data-Driven Energy Minimization Methods A Deep Learning Architecture for Limited- Angle Computed Tomography Reconstruction

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Parametric Majorization for Data-Driven Energy Minimization Methods Rautenberg

Reference 45

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Parametric Majorization for Data-Driven Energy Minimization Methods Rautenberg, Tao Wu, and Andreas Langer

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Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

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Parametric Majorization for Data-Driven Energy Minimization Methods A Tutorial on MM Algorithms

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Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 49

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Parametric Majorization for Data-Driven Energy Minimization Methods McCann, Emmanuel Froustey, and Michael Unser

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Observation aa0d3c1f-8cb0-4d20-b96b-74f691ec0145 · outbound

This paper cites FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.

Parametric Majorization for Data-Driven Energy Minimization Methods FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:40.310784Z

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This paper cites Kingma and Jimmy Ba.

Parametric Majorization for Data-Driven Energy Minimization Methods Kingma and Jimmy Ba

Reference 52

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This paper cites A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.

Parametric Majorization for Data-Driven Energy Minimization Methods A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction

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This paper cites End-to-End Training of Hybrid CNN-CRF Models for Stereo.

Parametric Majorization for Data-Driven Energy Minimization Methods End-to-End Training of Hybrid CNN-CRF Models for Stereo

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:40.020193Z

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This paper cites Learning joint demosaicing and denois- ing based on sequential energy minimization.

Parametric Majorization for Data-Driven Energy Minimization Methods Learning joint demosaicing and denois- ing based on sequential energy minimization

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Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:03:39.996971Z

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

Observation f1a8184a-5e9b-41d1-b4ed-f782f627a363 · outbound

This paper cites an unresolved cited work.

Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:03:40.008571Z

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

Observation 2886c964-2fd0-49d7-94cb-49fe258bce33 · outbound

This paper cites A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials.

Parametric Majorization for Data-Driven Energy Minimization Methods A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.904474Z

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

Observation f5a2eb98-c239-4379-bfe0-9b4f3e9a8fd5 · outbound

This paper cites A Bilevel Optimization Approach for Parameter Learning in Variational Models.

Parametric Majorization for Data-Driven Energy Minimization Methods A Bilevel Optimization Approach for Parameter Learning in Variational Models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.987108Z

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

Observation 8faffa13-5c0c-4d92-ba38-43360e4d8b10 · outbound

This paper cites Deep learning.

Parametric Majorization for Data-Driven Energy Minimization Methods Deep learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.840007Z

Source-reported events for the cited work

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

Observation ae9df2d7-6a3e-49cf-95ab-09a08b72dc4f · outbound

This paper cites Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.SIAM J.

Parametric Majorization for Data-Driven Energy Minimization Methods Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.SIAM J

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.851940Z

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

Observation 0b998ff7-cc4e-4571-8426-18554f807679 · outbound

This paper cites Loss functions for discrim- inative training of energy-based models.

Parametric Majorization for Data-Driven Energy Minimization Methods Loss functions for discrim- inative training of energy-based models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.774096Z

Source-reported events for the cited work

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

Observation e60335b7-33fa-457b-bfc6-8bdf67a4bd29 · outbound

This paper cites Ranzato, and F.

Parametric Majorization for Data-Driven Energy Minimization Methods Ranzato, and F

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.828671Z

Source-reported events for the cited work

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

Observation bc18cbc1-548d-489a-a945-96fd3d4dde27 · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation.

Parametric Majorization for Data-Driven Energy Minimization Methods Fully Convolutional Networks for Semantic Segmentation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.655363Z

Source-reported events for the cited work

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

Observation 1fd55ed4-dd47-4f21-8dad-a85a7cc8292c · outbound

This paper cites Efﬁcient Piecewise Training of Deep Structured Models for Semantic Segmentation.

Parametric Majorization for Data-Driven Energy Minimization Methods Efﬁcient Piecewise Training of Deep Structured Models for Semantic Segmentation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.667165Z

Source-reported events for the cited work

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

Observation 8b9b92d4-e0df-44c7-b7ec-3bf3462018bd · outbound

This paper cites Optimization with First-order Surrogate Functions.

Parametric Majorization for Data-Driven Energy Minimization Methods Optimization with First-order Surrogate Functions

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.586997Z

Source-reported events for the cited work

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

Observation 37f5e4e7-dd6f-4d24-98e3-3b5c7595d1c4 · outbound

This paper cites Freund, and Yurii Nesterov.

Parametric Majorization for Data-Driven Energy Minimization Methods Freund, and Yurii Nesterov

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.607294Z

Source-reported events for the cited work

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

Observation bccea10d-172a-4891-a190-9d3092de376d · outbound

This paper cites A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics.

Parametric Majorization for Data-Driven Energy Minimization Methods A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.406186Z

Source-reported events for the cited work

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

Observation 8d565c02-a4ec-4276-bbfe-bfc555f3db14 · outbound

This paper cites Incremental Majorization-Minimization Op- timization with Application to Large-Scale Machine Learn- ing.

Parametric Majorization for Data-Driven Energy Minimization Methods Incremental Majorization-Minimization Op- timization with Application to Large-Scale Machine Learn- ing

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.574498Z

Source-reported events for the cited work

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

Observation 76961afd-a0fe-43a8-98ec-f589a4501988 · outbound

This paper cites A Large Dataset to Train Convolutional Networks for Dispar- ity, Optical Flow, and Scene Flow Estimation.

Parametric Majorization for Data-Driven Energy Minimization Methods A Large Dataset to Train Convolutional Networks for Dispar- ity, Optical Flow, and Scene Flow Estimation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.262198Z

Source-reported events for the cited work

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

Observation ad4b8688-d519-4648-be3f-22a920bd8865 · outbound

This paper cites an unresolved cited work.

Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:03:39.273374Z

Source-reported events for the cited work

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

Observation cfd4c9c6-19c3-43cc-97e7-4ed640e0feb5 · outbound

This paper cites A Survey and Comparison of Discrete and Continuous Multi- label Optimization Approaches for the Potts Model.

Parametric Majorization for Data-Driven Energy Minimization Methods A Survey and Comparison of Discrete and Continuous Multi- label Optimization Approaches for the Potts Model

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.139671Z

Source-reported events for the cited work

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

Observation 433c362b-a531-403e-a587-4d4acfeef897 · outbound

This paper cites Universal Adversarial Perturbations Against Semantic Image Segmentation.

Parametric Majorization for Data-Driven Energy Minimization Methods Universal Adversarial Perturbations Against Semantic Image Segmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.250380Z

Source-reported events for the cited work

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

Observation 27729206-828f-4f5c-9d83-6722f9560d02 · outbound

This paper cites Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems.

Parametric Majorization for Data-Driven Energy Minimization Methods Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.116909Z

Source-reported events for the cited work

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

Observation d64febd1-caf2-4de8-8d90-79a202cebbcd · outbound

This paper cites Bilevel Optimization with Nonsmooth Lower Level Prob- lems.

Parametric Majorization for Data-Driven Energy Minimization Methods Bilevel Optimization with Nonsmooth Lower Level Prob- lems

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.128257Z

Source-reported events for the cited work

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

Observation fe5128e7-e840-46f3-9140-0ca1a71f240a · outbound

This paper cites Existence and Approx- imation of Fixed Points of Bregman Firmly Nonexpansive Mappings in Reﬂexive Banach Spaces.

Parametric Majorization for Data-Driven Energy Minimization Methods Existence and Approx- imation of Fixed Points of Bregman Firmly Nonexpansive Mappings in Reﬂexive Banach Spaces

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.094527Z

Source-reported events for the cited work

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

Observation 5a546a98-f607-4393-a7ba-fd9432da3bcb · outbound

This paper cites Automatic differentiation in PyTorch.

Parametric Majorization for Data-Driven Energy Minimization Methods Automatic differentiation in PyTorch

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:39.105486Z

Source-reported events for the cited work

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

Observation 221d0fd4-ee3e-4815-a5b4-64d539113f80 · outbound

This paper cites Improved total variation-based CT image reconstruction applied to clinical data.

Parametric Majorization for Data-Driven Energy Minimization Methods Improved total variation-based CT image reconstruction applied to clinical data

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.760319Z

Source-reported events for the cited work

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

Observation ba147ac3-01b2-434f-aabf-1ddf2143e713 · outbound

This paper cites Tyrell Rockafellar.

Parametric Majorization for Data-Driven Energy Minimization Methods Tyrell Rockafellar

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.750618Z

Source-reported events for the cited work

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

Observation 45a5ca53-df1f-478b-a53a-43a61677a094 · outbound

This paper cites Atgv- net: Accurate depth super-resolution.

Parametric Majorization for Data-Driven Energy Minimization Methods Atgv- net: Accurate depth super-resolution

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.770371Z

Source-reported events for the cited work

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

Observation 4615cb6b-97fd-4e25-bb3e-9d5551abf7a5 · outbound

This paper cites U- Net: Convolutional Networks for Biomedical Image Seg- mentation.

Parametric Majorization for Data-Driven Energy Minimization Methods U- Net: Convolutional Networks for Biomedical Image Seg- mentation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.730632Z

Source-reported events for the cited work

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

Observation 62763f8c-313a-4305-b1f4-66ccd17041f0 · outbound

This paper cites The perceptron: A probabilistic model for information storage and organization in the brain.

Parametric Majorization for Data-Driven Energy Minimization Methods The perceptron: A probabilistic model for information storage and organization in the brain

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.719767Z

Source-reported events for the cited work

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

Observation 392a8bb5-98e0-4f5e-9cf4-edeb4d4e7a27 · outbound

This paper cites Maurer, David A.

Parametric Majorization for Data-Driven Energy Minimization Methods Maurer, David A

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.741234Z

Source-reported events for the cited work

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

Observation 7940816a-9d73-4847-a139-4ae49bc017f5 · outbound

This paper cites an unresolved cited work.

Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:03:38.698333Z

Source-reported events for the cited work

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

Observation d852c061-35f7-430d-8194-e68ada6fd9af · outbound

This paper cites The steepest descent direction for the nonlinear bilevel programming problem.

Parametric Majorization for Data-Driven Energy Minimization Methods The steepest descent direction for the nonlinear bilevel programming problem

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.687881Z

Source-reported events for the cited work

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

Observation fcdbdf43-5bef-4830-bb75-86ddc1c0f7ea · outbound

This paper cites Rudin, Stanley Osher, and Emad Fatemi.

Parametric Majorization for Data-Driven Energy Minimization Methods Rudin, Stanley Osher, and Emad Fatemi

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.709418Z

Source-reported events for the cited work

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

Observation 84e01718-b616-439d-83fb-cc53885473e3 · outbound

This paper cites Ronny Huang, Christoph Studer, Soheil Feizi, and Tom Goldstein.

Parametric Majorization for Data-Driven Energy Minimization Methods Ronny Huang, Christoph Studer, Soheil Feizi, and Tom Goldstein

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.618599Z

Source-reported events for the cited work

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

Observation eb642d5c-a76e-4a04-8a1c-36f81f56d2fa · outbound

This paper cites an unresolved cited work.

Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:03:38.510946Z

Source-reported events for the cited work

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

Observation 20f916a4-aa8a-4b5b-af56-395390010678 · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Parametric Majorization for Data-Driven Energy Minimization Methods Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:37.410667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e3d430-a525-4b25-845d-bab8f5461fb3 · outbound

This paper cites Tappen, Ce Liu, Edward H.

Parametric Majorization for Data-Driven Energy Minimization Methods Tappen, Ce Liu, Edward H

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.454950Z

Source-reported events for the cited work

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

Observation 368017c8-9c98-4161-ac3d-4d4c8db0a2a4 · outbound

This paper cites Learning Structured Prediction Models: A Large Margin Approach.

Parametric Majorization for Data-Driven Energy Minimization Methods Learning Structured Prediction Models: A Large Margin Approach

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.384616Z

Source-reported events for the cited work

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

Observation e655fabe-4f0b-4a00-85ea-6e73a00caa30 · outbound

This paper cites Intriguing properties of neural networks.

Parametric Majorization for Data-Driven Energy Minimization Methods Intriguing properties of neural networks

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:37.435053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c29eca-7687-4133-b5b0-436bf81edc82 · outbound

This paper cites Jor- dan.

Parametric Majorization for Data-Driven Energy Minimization Methods Jor- dan

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.264306Z

Source-reported events for the cited work

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

Observation 65c4fd78-8ab2-416f-aac6-b329edaa2757 · outbound

This paper cites A simpliﬁed view of ﬁrst order methods for optimization.

Parametric Majorization for Data-Driven Energy Minimization Methods A simpliﬁed view of ﬁrst order methods for optimization

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.252424Z

Source-reported events for the cited work

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

Observation 63a347a8-7b21-4975-9258-0d8c7f72a858 · outbound

This paper cites Max- Margin Markov Networks.

Parametric Majorization for Data-Driven Energy Minimization Methods Max- Margin Markov Networks

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.302376Z

Source-reported events for the cited work

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

Observation ebc62c37-f5bf-4974-97de-0dd5e55919cf · outbound

This paper cites Statistical Learning Theory.

Parametric Majorization for Data-Driven Energy Minimization Methods Statistical Learning Theory

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.051209Z

Source-reported events for the cited work

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

Observation fe79e938-0e2b-439c-b90d-20c676968980 · outbound

This paper cites an unresolved cited work.

Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:03:38.040475Z

Source-reported events for the cited work

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

Observation 6f915d29-26fd-495e-90ec-a48a194817e8 · outbound

This paper cites Large Margin Methods for Structured and Interdependent Output Variables.

Parametric Majorization for Data-Driven Energy Minimization Methods Large Margin Methods for Structured and Interdependent Output Variables

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:38.094036Z

Source-reported events for the cited work

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

Observation 226209c3-724d-44a3-aaeb-659695aaf350 · outbound

This paper cites Beyond a Gaussian Denoiser: Residual Learn- ing of Deep CNN for Image Denoising.

Parametric Majorization for Data-Driven Energy Minimization Methods Beyond a Gaussian Denoiser: Residual Learn- ing of Deep CNN for Image Denoising

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:37.989857Z

Source-reported events for the cited work

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

Observation a09c9b22-436d-4d3d-a023-d36a3247695c · outbound

This paper cites an unresolved cited work.

Parametric Majorization for Data-Driven Energy Minimization Methods Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:03:37.863963Z

Source-reported events for the cited work

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

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