| 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 |
| Causal Transformer for Estimating Counterfactual Outcomes
|
2023 |
Melnychuk, Valentyn |
| Quant-BnB: A Scalable Branch-And-Bound Method for Optimal Decision Trees with Continuous Features
|
2023 |
Mazumder, Rahul |
| Stochastic Rising Bandits
|
2023 |
Metelli, Alberto Maria |
| Minimizing Control for Credit Assignment with Strong Feedback
|
2023 |
Meulemans, Alexander |
| POEM: Out-Of-Distribution Detection with Posterior Sampling
|
2023 |
Ming, Yifei |
| Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
|
2023 |
Mishkin, Aaron |
| ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
|
2023 |
Mishchenko, Konstantin |
Tag hinzufügen