Jay Shenoy

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 8

Top Topics

Supervised Learning Algorithms

Data Generation

Colorectal Cancer

Digitally Reconstructed Radiographs

Top Venues

Publications

Jay Shenoy, Axel Levy, Frédéric Poitevin, Gordon Wetzstein
Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning. CoRR (2023)
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. ICCPS (2022)
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Demo: Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. ICCPS (2022)
Francis Indaheng, Edward Kim, Kesav Viswanadha, Jay Shenoy, Jinkyu Kim, Daniel J. Fremont, Sanjit A. Seshia
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation. CoRR (2021)
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. CoRR (2021)
Jay Shenoy, James Fong, Jeffrey Tan, Austin Roorda, Ren Ng
R-SLAM: Optimizing Eye Tracking from Rolling Shutter Video of the Retina. ICCV (2021)
Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. CoRR (2020)
Anirudh Kamath, Aditya Singh, Raj Ramnani, Ayush Vyas, Jay Shenoy
Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings. CoRR (2017)