Mohapatra, Jeet

8 publications

ICML 2025 Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations Jeet Mohapatra, Nima Dehmamy, Csaba Both, Subhro Das, Tommi Jaakkola

ICLRW 2024 Hessian Reparametrization for Coarse-Grained Energy Minimization Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola

NeurIPS 2024 Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola

ICML 2024 What Would Gauss Say About Representations? Probing Pretrained Image Models Using Synthetic Gaussian Benchmarks Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel

ICML 2022 Revisiting Contrastive Learning Through the Lens of Neighborhood Component Analysis: An Integrated Framework Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng

NeurIPSW 2022 SynBench: Task-Agnostic Benchmarking of Pretrained Representations Using Synthetic Data Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel

AISTATS 2021 Hidden Cost of Randomized Smoothing Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

NeurIPS 2020 Higher-Order Certification for Randomized Smoothing Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel