Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Fuente:
arXiv
Saved in:
| Main Authors: | Kemertas, Mete, Jepson, Allan D., Farahmand, Amir-massoud |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Truncated Newton Method for Optimal Transport
by: Kemertas, Mete, et al.
Published: (2025)
by: Kemertas, Mete, et al.
Published: (2025)
Context-dependent Causality (the Non-Nonotonic Case)
by: Billfeld, Nir, et al.
Published: (2024)
by: Billfeld, Nir, et al.
Published: (2024)
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
by: TeBlunthuis, Nathan, et al.
Published: (2023)
by: TeBlunthuis, Nathan, et al.
Published: (2023)
When +1% Is Not Enough: A Paired Bootstrap Protocol for Evaluating Small Improvements
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Generative Fractional Diffusion Models
by: Nobis, Gabriel, et al.
Published: (2023)
by: Nobis, Gabriel, et al.
Published: (2023)
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
by: Höfler, Matthias, et al.
Published: (2025)
by: Höfler, Matthias, et al.
Published: (2025)
Calculating the interaction index of a fuzzy measure: a polynomial approach based on sampling
by: Gutiérrez, Inmaculada, et al.
Published: (2024)
by: Gutiérrez, Inmaculada, et al.
Published: (2024)
Calibrated Bayesian Deep Learning for Explainable Decision Support Systems Based on Medical Imaging
by: Xu, Hua, et al.
Published: (2026)
by: Xu, Hua, et al.
Published: (2026)
Mechanism Learning: reverse causal inference in the presence of multiple unknown confounding through causally weighted Gaussian mixture models
by: Mao, Jianqiao, et al.
Published: (2024)
by: Mao, Jianqiao, et al.
Published: (2024)
Spatial Shortcuts in Graph Neural Controlled Differential Equations
by: Detzel, Michael, et al.
Published: (2024)
by: Detzel, Michael, et al.
Published: (2024)
A Review of Pseudo-Labeling for Computer Vision
by: Kage, Patrick, et al.
Published: (2024)
by: Kage, Patrick, et al.
Published: (2024)
Beyond Accuracy: Reliability and Uncertainty Estimation in Convolutional Neural Networks
by: Ruijs, Sanne, et al.
Published: (2026)
by: Ruijs, Sanne, et al.
Published: (2026)
Instance Temperature Knowledge Distillation
by: Zhang, Zhengbo, et al.
Published: (2024)
by: Zhang, Zhengbo, et al.
Published: (2024)
Universal Neural Optimal Transport
by: Geuter, Jonathan, et al.
Published: (2022)
by: Geuter, Jonathan, et al.
Published: (2022)
diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning
by: Winchenbach, Rene, et al.
Published: (2025)
by: Winchenbach, Rene, et al.
Published: (2025)
Label Delay in Online Continual Learning
by: Csaba, Botos, et al.
Published: (2023)
by: Csaba, Botos, et al.
Published: (2023)
When Will Gradient Regularization Be Harmful?
by: Zhao, Yang, et al.
Published: (2024)
by: Zhao, Yang, et al.
Published: (2024)
Unified Local and Global Attention Interaction Modeling for Vision Transformers
by: Nguyen, Tan, et al.
Published: (2024)
by: Nguyen, Tan, et al.
Published: (2024)
Explaining Any ML Model? -- On Goals and Capabilities of XAI
by: Renftle, Moritz, et al.
Published: (2022)
by: Renftle, Moritz, et al.
Published: (2022)
Graph Attention for Heterogeneous Graphs with Positional Encoding
by: Nayak, Nikhil Shivakumar
Published: (2025)
by: Nayak, Nikhil Shivakumar
Published: (2025)
Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters
by: Yasuno, Takato
Published: (2026)
by: Yasuno, Takato
Published: (2026)
Learning What Evaluators Value: A Reliable Approach to Modeling Evaluator Preferences
by: Kitch, Madeline Celi, et al.
Published: (2026)
by: Kitch, Madeline Celi, et al.
Published: (2026)
Support Tokens, Stability Margins, and a New Foundation for Robust LLMs
by: Agarwal, Deepak, et al.
Published: (2026)
by: Agarwal, Deepak, et al.
Published: (2026)
Optimization Methods and Software for Federated Learning
by: Burlachenko, Konstantin
Published: (2025)
by: Burlachenko, Konstantin
Published: (2025)
Robust Kernel Sparse Subspace Clustering
by: Kopriva, Ivica
Published: (2024)
by: Kopriva, Ivica
Published: (2024)
EDSNet: Efficient-DSNet for Video Summarization
by: Prasad, Ashish, et al.
Published: (2024)
by: Prasad, Ashish, et al.
Published: (2024)
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
by: Kuprashevich, Maksim, et al.
Published: (2024)
by: Kuprashevich, Maksim, et al.
Published: (2024)
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
by: Slika, Bouthaina, et al.
Published: (2023)
by: Slika, Bouthaina, et al.
Published: (2023)
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
by: Nishiyama, Daiki, et al.
Published: (2025)
by: Nishiyama, Daiki, et al.
Published: (2025)
High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models
by: He, Mengqi, et al.
Published: (2025)
by: He, Mengqi, et al.
Published: (2025)
Position: Tensor Networks are a Valuable Asset for Green AI
by: Memmel, Eva, et al.
Published: (2022)
by: Memmel, Eva, et al.
Published: (2022)
What's the Price of Monotonicity? A Multi-Dataset Benchmark of Monotone-Constrained Gradient Boosting for Credit PD
by: Koklev, Petr
Published: (2025)
by: Koklev, Petr
Published: (2025)
Seeing The Words: Evaluating AI-generated Biblical Art
by: Makimei, Hidde, et al.
Published: (2025)
by: Makimei, Hidde, et al.
Published: (2025)
Decoding Memes: A Comparative Study of Machine Learning Models for Template Identification
by: Murgás, Levente, et al.
Published: (2024)
by: Murgás, Levente, et al.
Published: (2024)
A Complete Axiomatisation of Equivalence for Discrete Probabilistic Programming
by: Piedeleu, Robin, et al.
Published: (2024)
by: Piedeleu, Robin, et al.
Published: (2024)
Mixed-Precision in High-Order Methods: the Impact of Floating-Point Precision on the ADER-DG Algorithm
by: Marot-Lassauzaie, Marc, et al.
Published: (2025)
by: Marot-Lassauzaie, Marc, et al.
Published: (2025)
Pre-Training Estimators for Structural Models: Application to Consumer Search
by: Wei, Yanhao 'Max', et al.
Published: (2025)
by: Wei, Yanhao 'Max', et al.
Published: (2025)
Transfer-Learning-Based Autotuning Using Gaussian Copula
by: Randall, Thomas, et al.
Published: (2024)
by: Randall, Thomas, et al.
Published: (2024)
Prediction of Usage Probabilities of Shopping-Mall Corridors Using Heterogeneous Graph Neural Networks
by: Barakathullah, Malik M, et al.
Published: (2025)
by: Barakathullah, Malik M, et al.
Published: (2025)
Understanding Deterioration Random Effects for Causal Discovery in Infrastructure Management
by: Yasuno, Takato
Published: (2026)
by: Yasuno, Takato
Published: (2026)
Similar Items
-
A Truncated Newton Method for Optimal Transport
by: Kemertas, Mete, et al.
Published: (2025) -
Context-dependent Causality (the Non-Nonotonic Case)
by: Billfeld, Nir, et al.
Published: (2024) -
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
by: TeBlunthuis, Nathan, et al.
Published: (2023) -
When +1% Is Not Enough: A Paired Bootstrap Protocol for Evaluating Small Improvements
by: Du, Wenzhang
Published: (2025) -
Generative Fractional Diffusion Models
by: Nobis, Gabriel, et al.
Published: (2023)