James Weimer

Assistant Professor, Vanderbilt University

Joined

May 2021

Names

James Weimer (Preferred)

Emails

****@seas.upenn.edu (Confirmed)

****@vanderbilt.edu (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Vanderbilt University (vanderbilt.edu)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Bruce Krogh

2005 – 2010

PhD Advisor

Bruno Sinopoli

2005 – 2010

Expertise

Machine Learning

2017 – Present

Internet of Medical Things

2010 – Present

Medical Cyber Physical Systems

2010 – Present

Publications

Memory-Consistent Neural Networks for Imitation Learning
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
- ICLR 2024 poster
- Readers: Everyone
T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification
Vivian Lin, Radoslav Ivanov, James Weimer, Oleg Sokolsky, Insup Lee
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Narrowing the Gap: Towards Analyzable and Realistic Simulators for Safety Analysis of Neural Network Control Systems
Vivian Lin, James Weimer, Insup Lee
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Bridging the Gap between Semi-supervised and Supervised Continual Learning via Data Programming
Pengyuan Lu, Seungwon Lee, Amanda Annette Watson, David Kent, Insup Lee, ERIC EATON, James Weimer
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris
- Published: 10 Sept 2022, Last Modified: 04 Aug 2025
- CoRL 2022 Poster
- Readers: Everyone
Mako: Semi-supervised continual learning with minimal labeled data via data programming
Pengyuan Lu, Seungwon Lee, Amanda Watson, David Kent, Insup Lee, ERIC EATON, James Weimer
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone

James Weimer

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Memory-Consistent Neural Networks for Imitation Learning

T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification

Narrowing the Gap: Towards Analyzable and Realistic Simulators for Safety Analysis of Neural Network Control Systems

Bridging the Gap between Semi-supervised and Supervised Continual Learning via Data Programming

Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates

Mako: Semi-supervised continual learning with minimal labeled data via data programming

Co-Authors