Publications

A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- - Chongyu Fan
  - Jiancheng Liu
  - et al.
- 2024
- ICLR 2024
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - et al.
- 2024
- ICLR 2024
Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- - Luca De Feo
  - Tako Boris Fouotsa
  - et al.
- 2024
- Eurocrypt 2024
Partially Observable Hierarchical Reinforcement Learning with AI Planning
- - Brandon Rozek
  - Junkyu Lee
  - et al.
- 2024
- AAAI 2024
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
- - Yu Zhang
  - Yunyi Zhang
  - et al.
- 2024
- AAAI 2024
ESG Accountability Made Easy: DocQA at Your Service
- - Lokesh Mishra
  - Cesar Berrospi
  - et al.
- 2024
- AAAI 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- - Clyde Fare
  - George K. Holt
  - et al.
- 2024
- AAAI 2024
Large Language Models as Planning Domain Generators
- - James Oswald
  - Kavitha Srinivas
  - et al.
- 2024
- AAAI 2024