Publications

14 results for Akash Srivastava

Curiosity-driven Red-teaming for Large Language Models
- - Zhang-wei Hong
  - Idan Shenfeld
  - et al.
- 2024
- ICLR 2024
A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
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
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- - Giorgio Giannone
  - Akash Srivastava
  - 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
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
- - Hao Wang
  - Shivchander Sudalairaj
  - et al.
- 2023
- NeurIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- - Jiaqi Zhang
  - Kristjan Greenewald
  - et al.
- 2023
- NeurIPS 2023
Compositional Foundation Models for Hierarchical Planning
- - Anurag Ajay
  - Seungwook Han
  - et al.
- 2023
- NeurIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- - Jiaqi Zhang
  - Chandler Squires
  - et al.
- 2023
- ICML 2023