Publications

113 results at NeurIPS 2023

Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- - Robert Alison
  - Anthony Stephenson
  - et al.
- 2023
- NeurIPS 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- - Erik Altman
  - Jovan Blanusa
  - et al.
- 2023
- NeurIPS 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy
- - Erik Miehling
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023
On the role of entanglement and statistics in learning
- - Srinivasan Arunachalam
  - Vojtech Havlicek
  - et al.
- 2023
- NeurIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- - Tsun-hsuan Wang
  - Juntian Zheng
  - et al.
- 2023
- NeurIPS 2023
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- - Shengcao Cao
  - Dhiraj Joshi
  - 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
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- - Giorgio Giannone
  - Akash Srivastava
  - et al.
- 2023
- NeurIPS 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- - Fan Feng
  - Sara Magliacane
- 2023
- NeurIPS 2023