Publications

113 results at NeurIPS 2023

Max-Sliced Mutual Information
- - Dor Tsur
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- - Ilias Diakonikolas
  - Daniel Kane
  - 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
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- - Zhang-wei Hong
  - Aviral Kumar
  - et al.
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - 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
3D-LLM: Injecting the 3D World into Large Language Models
- - Yining Hong
  - Haoyu Zhen
  - et al.
- 2023
- NeurIPS 2023
Adaptive Online Replanning with Diffusion Models
- - Siyuan Zhou
  - Yilun Du
  - et al.
- 2023
- NeurIPS 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- - Robert Alison
  - Anthony Stephenson
  - et al.
- 2023
- NeurIPS 2023