Thomas Hannagan

Researcher, Stellantis

Joined

May 2023

Names

Thomas Hannagan (Preferred)

Emails

****@stellantis.com (Confirmed)

Personal Links

Career & Education History

Researcher

Stellantis (stellantis.com)

2017 – Present

Advisors, Relations & Conflicts

Coworker

2023 – Present

Coworker

2022 – Present

Coauthor

2011 – Present

Coauthor

Stanislas Dehaene

2015 – 2022

Expertise

Generative AI

2022 – Present

Deep learning

,

interpretability

2010 – Present

Learning theory

,

computational neuroscience

,

cognitive science

2005 – Present

Publications

The Initialization Determines Whether In-Context Learning Is Gradient Descent
Shifeng Xie, Rui Yuan, Simone Rossi, Thomas Hannagan
- Accepted by TMLR
- Readers: Everyone
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning
Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan
- AABI 2025 Proceedings Track
- Readers: Everyone
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
- The 18th European Conference on Computer Vision ECCV 2024
- Readers: Everyone
Unbiased Policy Gradient with Random Horizon
Rui Yuan, Andrii Tretynko, Simone Rossi, Thomas Hannagan
- EWRL17
- Readers: Everyone
Understanding in-context learning in transformers
Simone Rossi, Rui Yuan, Thomas Hannagan
- BT@ICLR2024
- Readers: Everyone
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
Marc Schachtsiek, Simone Rossi, Thomas Hannagan
- RealML-2023
- Readers: Everyone
On permutation symmetries in Bayesian neural network posteriors: a variational perspective
Simone Rossi, Ankit Singh, Thomas Hannagan
- NeurIPS 2023 poster
- Readers: Everyone
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- CoRR 2022
- Readers: Everyone
Rethinking Weight Decay for Efficient Neural Network Pruning
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- J. Imaging 2022
- Readers: Everyone
Leveraging Structured Pruning of Convolutional Neural Networks
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- SiPS 2022
- Readers: Everyone

View all 21 publications

Co-Authors

View all 28 co-authors