GradNetOT: Learning Optimal Transport Maps with GradNets
Fuente:
arXiv
Saved in:
| Main Authors: | Chaudhari, Shreyas, Pranav, Srinivasa, Moura, José M. F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GradNet: A Gradient-Based Framework for Optimal Network Science
by: Mikaberidze, Guram, et al.
Published: (2026)
by: Mikaberidze, Guram, et al.
Published: (2026)
Peer-to-Peer Learning Dynamics of Wide Neural Networks
by: Chaudhari, Shreyas, et al.
Published: (2024)
by: Chaudhari, Shreyas, et al.
Published: (2024)
Gradient Networks
by: Chaudhari, Shreyas, et al.
Published: (2024)
by: Chaudhari, Shreyas, et al.
Published: (2024)
GradMetaNet: An Equivariant Architecture for Learning on Gradients
by: Gelberg, Yoav, et al.
Published: (2025)
by: Gelberg, Yoav, et al.
Published: (2025)
GLUE: Gradient-free Learning to Unify Experts
by: Park, Jong-Ik, et al.
Published: (2025)
by: Park, Jong-Ik, et al.
Published: (2025)
ReLU Networks as Random Functions: Their Distribution in Probability Space
by: Chaudhari, Shreyas, et al.
Published: (2025)
by: Chaudhari, Shreyas, et al.
Published: (2025)
Peer-to-Peer Deep Learning for Beyond-5G IoT
by: Pranav, Srinivasa, et al.
Published: (2023)
by: Pranav, Srinivasa, et al.
Published: (2023)
Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Liu, Suxing
Published: (2023)
by: Liu, Suxing
Published: (2023)
OrthoGrad Improves Neural Calibration
by: Hedges, C. Evans
Published: (2025)
by: Hedges, C. Evans
Published: (2025)
AdaptGrad: Adaptive Sampling to Reduce Noise
by: Zhou, Linjiang, et al.
Published: (2024)
by: Zhou, Linjiang, et al.
Published: (2024)
AdaGrad under Anisotropic Smoothness
by: Liu, Yuxing, et al.
Published: (2024)
by: Liu, Yuxing, et al.
Published: (2024)
StableGrad: Backward Scale Control without Batch Normalization
by: Mestre, Jose I., et al.
Published: (2026)
by: Mestre, Jose I., et al.
Published: (2026)
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior
by: Lee, Ching-Hua, et al.
Published: (2025)
by: Lee, Ching-Hua, et al.
Published: (2025)
GradAlign for Training-free Model Performance Inference
by: Li, Yuxuan, et al.
Published: (2024)
by: Li, Yuxuan, et al.
Published: (2024)
GradINN: Gradient Informed Neural Network
by: Aglietti, Filippo, et al.
Published: (2024)
by: Aglietti, Filippo, et al.
Published: (2024)
Revisiting Convergence of AdaGrad with Relaxed Assumptions
by: Hong, Yusu, et al.
Published: (2024)
by: Hong, Yusu, et al.
Published: (2024)
DB-FGA-Net: Dual Backbone Frequency Gated Attention Network for Multi-Class Brain Tumor Classification with Grad-CAM Interpretability
by: Shreya, Saraf Anzum, et al.
Published: (2025)
by: Shreya, Saraf Anzum, et al.
Published: (2025)
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling
by: Vaeth, Philipp, et al.
Published: (2024)
by: Vaeth, Philipp, et al.
Published: (2024)
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
by: Marton, Sascha, et al.
Published: (2023)
by: Marton, Sascha, et al.
Published: (2023)
TextGrad: Automatic "Differentiation" via Text
by: Yuksekgonul, Mert, et al.
Published: (2024)
by: Yuksekgonul, Mert, et al.
Published: (2024)
Expected Grad-CAM: Towards gradient faithfulness
by: Buono, Vincenzo, et al.
Published: (2024)
by: Buono, Vincenzo, et al.
Published: (2024)
DiffGrad for Physics-Informed Neural Networks
by: Rahman, Jamshaid Ul, et al.
Published: (2024)
by: Rahman, Jamshaid Ul, et al.
Published: (2024)
LaCoOT: Layer Collapse through Optimal Transport
by: Quétu, Victor, et al.
Published: (2024)
by: Quétu, Victor, et al.
Published: (2024)
GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
by: Yang, Ningyuan, et al.
Published: (2026)
by: Yang, Ningyuan, et al.
Published: (2026)
AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates
by: Zhang, Minxin, et al.
Published: (2025)
by: Zhang, Minxin, et al.
Published: (2025)
GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs
by: Ren, Yating, et al.
Published: (2025)
by: Ren, Yating, et al.
Published: (2025)
DS FedProxGrad: Asymptotic Stationarity Without Noise Floor in Fair Federated Learning
by: Arif, Huzaifa
Published: (2025)
by: Arif, Huzaifa
Published: (2025)
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
by: Su, Weijie J., et al.
Published: (2018)
by: Su, Weijie J., et al.
Published: (2018)
DiffGradCAM: A Class Activation Map Using the Full Model Decision to Solve Unaddressed Adversarial Attacks
by: Piland, Jacob, et al.
Published: (2025)
by: Piland, Jacob, et al.
Published: (2025)
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics
by: Fischer, Michael, et al.
Published: (2023)
by: Fischer, Michael, et al.
Published: (2023)
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient
by: Zhang, Yuang, et al.
Published: (2024)
by: Zhang, Yuang, et al.
Published: (2024)
AlphaGrad: Non-Linear Gradient Normalization Optimizer
by: Sane, Soham
Published: (2025)
by: Sane, Soham
Published: (2025)
GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
by: Zhou, Yihong, et al.
Published: (2026)
by: Zhou, Yihong, et al.
Published: (2026)
GradPower: Powering Gradients for Faster Language Model Pre-Training
by: Wang, Jinbo, et al.
Published: (2025)
by: Wang, Jinbo, et al.
Published: (2025)
AdaGrad-Diff: A New Version of the Adaptive Gradient Algorithm
by: Bojovic, Matia, et al.
Published: (2026)
by: Bojovic, Matia, et al.
Published: (2026)
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition
by: Tempel, Felix, et al.
Published: (2024)
by: Tempel, Felix, et al.
Published: (2024)
Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equations
by: Heredia, Carlos
Published: (2024)
by: Heredia, Carlos
Published: (2024)
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
by: Birrell, Jeremiah, et al.
Published: (2026)
by: Birrell, Jeremiah, et al.
Published: (2026)
DenoGrad: A Gradient-Based Framework for Data Refinement in Tabular and Time-Series Learning
by: Alonso-Ramos, J. Javier, et al.
Published: (2025)
by: Alonso-Ramos, J. Javier, et al.
Published: (2025)
React-OT: Optimal Transport for Generating Transition State in Chemical Reactions
by: Duan, Chenru, et al.
Published: (2024)
by: Duan, Chenru, et al.
Published: (2024)
Similar Items
-
GradNet: A Gradient-Based Framework for Optimal Network Science
by: Mikaberidze, Guram, et al.
Published: (2026) -
Peer-to-Peer Learning Dynamics of Wide Neural Networks
by: Chaudhari, Shreyas, et al.
Published: (2024) -
Gradient Networks
by: Chaudhari, Shreyas, et al.
Published: (2024) -
GradMetaNet: An Equivariant Architecture for Learning on Gradients
by: Gelberg, Yoav, et al.
Published: (2025) -
GLUE: Gradient-free Learning to Unify Experts
by: Park, Jong-Ik, et al.
Published: (2025)