Publications

Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
- - Aleksandros Sobczyk
  - Mathieu Luisier
- 2022
- NeurIPS 2022
Convergent Representations of Computer Programs in Human and Artificial Neural Networks
- - Shashank Srikant
  - Benjamin Lipkin
  - et al.
- 2022
- NeurIPS 2022
Multi-objective Deep Data Generation with Correlated Property Control
- - Shiyu Wang
  - Xiaojie Guo
  - et al.
- 2022
- NeurIPS 2022
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
- - Ge Zhang
  - Zhenyu Yang
  - et al.
- 2022
- NeurIPS 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
- - Dong Ki Kim
  - Matthew Riemer
  - et al.
- 2022
- NeurIPS 2022
Compositional generalization through abstract representations in human and artificial neural networks
- - Takuya Ito
  - Tim Klinger
  - et al.
- 2022
- NeurIPS 2022
Advancing Model Pruning via Bi-level Optimization
- - Yihua Zhang
  - Yuguang Yao
  - et al.
- 2022
- NeurIPS 2022
Accelerating Certified Robustness Training via Knowledge Transfer
- - Pratik Vaishnavi
  - Kevin Eykholt
  - et al.
- 2022
- NeurIPS 2022
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
- - Weichao Mao
  - Haoran Qiu
  - et al.
- 2022
- NeurIPS 2022
Deep Generative Model for Periodic Graphs
- - Shiyu Wang
  - Xiaojie Guo
  - et al.
- 2022
- NeurIPS 2022