Linear-Time Gromov Wasserstein Distances Using Low Rank Couplings and Costs
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2023 |
Scetbon, Meyer |
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
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2023 |
Schotthöfer, Steffen |
Streaming Inference for Infinite Feature Models
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2023 |
Schaeffer, Rylan |
Reinforcement Learning with Action-Free Pre-Training from Videos
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2023 |
Seo, Younggyo |
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
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2023 |
Shen, Kendrick |
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
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2023 |
Shi, Wanli |
Visual Attention Emerges from Recurrent Sparse Reconstruction
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2023 |
Shi, Baifeng |
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
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2023 |
Scaman, Kevin |
Modeling Irregular Time Series with Continuous Recurrent Units
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2023 |
Schirmer, Mona |
Symmetric Machine Theory of Mind
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2023 |
Sclar, Melanie |
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
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2023 |
Seleznova, Mariia |
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
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2023 |
Sharma, Archit |
Instance Dependent Regret Analysis of Kernelized Bandits
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2023 |
Shekhar, Shubhanshu |
Data Augmentation as Feature Manipulation
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2023 |
Shen, Ruoqi |
Staged Training for Transformer Language Models
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2023 |
Shen, Sheng |
Global Optimization of K-Center Clustering
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2023 |
Shi, Mingfei |
Deep Network Approximation in Terms of Intrinsic Parameters
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2023 |
Shen, Zuowei |
Adversarial Masking for Self-Supervised Learning
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2023 |
Shi, Yuge |
Robust Group Synchronization Via Quadratic Programming
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2023 |
Shi, Yunpeng |
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
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2023 |
Shnitzer, Tal |