Jay Shenoy

According to our database, Jay Shenoy authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CrystalBoltz: End-to-End Protein Structure Determination via Experiment-Guided Diffusion for X-Ray Crystallography.

Minseo Kim, Huanghao Mai, Jay Shenoy, Alec Follmer, Gordon Wetzstein, Frédéric Poitevin

CoRR, May, 2026

Modeling Atomic Conformational Ensembles of Proteins via Test-Time Supervision of Boltz-2 on Cryo-EM Density Maps.

Jay Shenoy, Miro Astore, Axel Levy, Frédéric Poitevin, Sonya M. Hanson, Gordon Wetzstein

CoRR, May, 2026

2023

Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning.

Jay Shenoy, Axel Levy, Frédéric Poitevin, Gordon Wetzstein

CoRR, 2023

2022

Demo: Querying Labelled Data with Scenario Programs for Sim-to-Real Validation.

Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Querying Labelled Data with Scenario Programs for Sim-to-Real Validation.

Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

2021

A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation.

Francis Indaheng, Edward Kim, Kesav Viswanadha, Jay Shenoy, Jinkyu Kim, Daniel J. Fremont, Sanjit A. Seshia

CoRR, 2021

R-SLAM: Optimizing Eye Tracking from Rolling Shutter Video of the Retina.

Jay Shenoy, James Fong, Jeffrey Tan, Austin Roorda, Ren Ng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving.

Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia

CoRR, 2020

2017

Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings.

Anirudh Kamath, Aditya Singh, Raj Ramnani, Ayush Vyas, Jay Shenoy

CoRR, 2017