On the role of entanglement and statistics in learning
- Srinivasan Arunachalam
- Vojtech Havlicek
- et al.
- 2023
- NeurIPS 2023
Publications
1827 results in 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- Zhang-wei Hong
- Aviral Kumar
- et al.
- 2023
- NeurIPS 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
- Sivan Doveh
- Assaf Arbelle
- et al.
- 2023
- NeurIPS 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023
Pairwise Causality Guided Transformers for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
- Zhiao Huang
- Feng Chen
- et al.
- 2023
- NeurIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
- Ankit Vishnubhotla
- Charlotte Loh
- et al.
- 2023
- NeurIPS 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023