Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
Conference paper
Publications
Modulated Neural ODEs
- Ilze Amanda Auzina
- Cagatay Yildiz
- et al.
- 2023
- NeurIPS 2023
Conference paperLearning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- Fan Feng
- Sara Magliacane
- 2023
- NeurIPS 2023
Conference paperAdapting Fairness Interventions to Missing Values
- Raymond Feng
- Flavio Calmon
- et al.
- 2023
- NeurIPS 2023
Conference paperOptimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
- Sarath Sreedharan
- Michael Katz
- 2023
- NeurIPS 2023
Conference paperAleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
- Hao Wang
- Luxi He
- et al.
- 2023
- NeurIPS 2023
Conference paperLaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
- Jehanzeb Mirza
- Leonid Karlinsky
- et al.
- 2023
- NeurIPS 2023
Conference paperEffective Human-AI Teams via Learned Natural Language Rules and Onboarding
- Hussein Mozannar
- Jimin Lee
- et al.
- 2023
- NeurIPS 2023
Conference paperMulti-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
- Weichao Mao
- Haoran Qiu
- et al.
- 2023
- NeurIPS 2023
Conference paperEfficient Equivariant Transfer Learning from Pretrained Models
- Sourya Basu
- Pulkit Katdare
- et al.
- 2023
- NeurIPS 2023
Conference paper