Publications

1491 results for Machine Learning

Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics
- - Pingchuan Ma
  - Peter Yichen Chen
  - et al.
- 2023
- ICML 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- - Hiroshi Kajino
  - Kohei Miyaguchi
  - et al.
- 2023
- ICML 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
- - Yifan Chen
  - Rentian Yao
  - et al.
- 2023
- ICML 2023
Regression with Sensor Data Containing Incomplete Observations
- - Takayuki Katsuki
  - Takayuki Osogami
- 2023
- ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
- - Yihao Xue
  - Siddharth Joshi
  - et al.
- 2023
- ICML 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
- - Charlotte Loh
  - Seungwook Han
  - et al.
- 2023
- ICML 2023
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
- - Zhongzhi Yu
  - Yang Zhang
  - et al.
- 2023
- ICML 2023
On the Forward Invariance of Neural ODEs
- - Wei Xiao
  - Tsun-Hsuan Wang
  - et al.
- 2023
- ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
- - Zhiao Huang
  - Litian Liang
  - et al.
- 2023
- ICML 2023
Simple Disentanglement of Style and Content in Visual Representations
- - Lilian Ngweta
  - Subha Maity
  - et al.
- 2023
- ICML 2023