Jeet Mohapatra
7 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Interdisciplinary
(1)
Application Areas
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Science
(1)
Techniques
(1)
Keywords
adversarial robustness
(3)
neural network
(2)
randomized smoothing
(2)
representation learning
(2)
formal verification
(1)
neighborhood component analysis
(1)
decision boundary
(1)
pre-trained model
(1)
neural network verification
(1)
neural network robustness
(1)
molecular simulation
(1)
neural network reparametrization
(1)
linear probing
(1)
protein folding
(1)
contrastive loss
(1)
gaussian mixture
(1)
gaussian smoothing
(1)
input perturbation
(1)
threat model
(1)
synthetic benchmark
(1)
Papers
Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations
ICML 2025
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NeurIPS 2024
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
ICML 2024
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
ICML 2022
Hidden Cost of Randomized Smoothing
AISTATS 2021
Higher-Order Certification For Randomized Smoothing
NeurIPS 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations
CVPR 2020