How to Stay Curious While Avoiding Noisy TVs Using Aleatoric Uncertainty Estimation
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2023 |
Mavor-Parker, Augustine |
Transformers Are Meta-Reinforcement Learners
|
2023 |
Melo, Luckeciano C. |
Equivariant Quantum Graph Circuits
|
2023 |
Mernyei, Peter |
A Simple Reward-Free Approach to Constrained Reinforcement Learning
|
2023 |
Miryoosefi, Sobhan |
Wide Neural Networks Forget Less Catastrophically
|
2023 |
Mirzadeh, Seyed Iman |
Proximal and Federated Random Reshuffling
|
2023 |
Mishchenko, Konstantin |
A Multi-Objective / Multi-Task Learning Framework Induced by Pareto Stationarity
|
2023 |
Momma, Michinari |
Modular Conformal Calibration
|
2023 |
Marx, Charles |
Optimizing Tensor Network Contraction Using Reinforcement Learning
|
2023 |
Meirom, Eli |
Steerable 3D Spherical Neurons
|
2023 |
Melnyk, Pavlo |
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
|
2023 |
Meng, Chenlin |
A Dynamical System Perspective for Lipschitz Neural Networks
|
2023 |
Meunier, Laurent |
Modeling Structure with Undirected Neural Networks
|
2023 |
Mihaylova, Tsvetomila |
Distribution Regression with Sliced Wasserstein Kernels
|
2023 |
Meunier, Dimitri |
Interpretable and Generalizable Graph Learning Via Stochastic Attention Mechanism
|
2023 |
Miao, Siqi |
Learning Stochastic Shortest Path with Linear Function Approximation
|
2023 |
Min, Yifei |
Memory-Based Model Editing at Scale
|
2023 |
Mitchell, Eric |
Invariant Ancestry Search
|
2023 |
Mogensen, Phillip B. |
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
|
2023 |
Mondal, Arnab Kumar |
Closed-Form Diffeomorphic Transformations for Time Series Alignment
|
2023 |
Martinez, Iñigo |