Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
- Nima Dehmamy
- Csaba Both
- et al.
- 2024
- NeurIPS 2024
Publications
Date
Featured collections
Popular topics
20 results for Subhro Das
Thermometer: Towards Universal Calibration for Large Language Models
- Maohao Shen
- Subhro Das
- et al.
- 2024
- ICML 2024
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
- Hussein Mozannar
- Jimin Lee
- et al.
- 2023
- NeurIPS 2023
One step closer to unbiased aleatoric uncertainty estimation
- Wang Zhang
- Martin Ma
- et al.
- 2024
- AAAI 2024
Label-free Concept Bottleneck Models
- Tuomas Oikarinen
- Subhro Das
- et al.
- 2023
- ICLR 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
- Jingzhao Zhang
- Hongzhou Lin
- et al.
- 2022
- ICML 2022
Towards Understanding Convergence of Simultaneous Gradient Descent-Ascent in Minimax Optimization
- Haochuan Li
- Farzan Farnia
- et al.
- 2022
- ICML 2022
Hessian Reparametrization for Coarse-grained Energy Minimization
- Nima Dehmamy
- Csaba Both
- et al.
- 2024
- ICLR 2024
Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping
- Wang Zhang
- Lam Nguyen
- et al.
- 2022
- ICML 2022