Thomas Hannagan

According to our database, Thomas Hannagan authored at least 15 papers between 2011 and 2024.

Collaborative distances:

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

2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning.

Marc Schachtsiek, Simone Rossi, Thomas Hannagan

CoRR, 2023

On permutation symmetries in Bayesian neural network posteriors: a variational perspective.

Simone Rossi, Ankit Singh, Thomas Hannagan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Rethinking Weight Decay for Efficient Neural Network Pruning.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand

J. Imaging, 2022

Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan

Proceedings of the Advances in System-Integrated Intelligence, 2022

Leveraging Structured Pruning of Convolutional Neural Networks.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

2020

Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand

CoRR, 2020

2013

The Lazy Visual Word Form Area: Computational Insights into Location-Sensitivity.

Thomas Hannagan, Jonathan Grainger

PLoS Comput. Biol., 2013

Learning Spatial Invariance with the Trace Rule in Nonuniform Distributions.

Jasmin Léveillé, Thomas Hannagan

Neural Comput., 2013

Computational models of location-invariant orthographic processing.

Frédéric Dandurand, Thomas Hannagan, Jonathan Grainger

Connect. Sci., 2013

2012

Protein Analysis Meets Visual Word Recognition: A Case for String Kernels in the Brain.

Thomas Hannagan, Jonathan Grainger

Cogn. Sci., 2012

A time-invariant connectionist model of spoken word recognition.

Thomas Hannagan, James Magnusson, Jonathan Grainger

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Broken Symmetries in a Location-Invariant Word Recognition Network.

Thomas Hannagan, Frédéric Dandurand, Jonathan Grainger

Neural Comput., 2011

Holographic String Encoding.

Thomas Hannagan, Emmanuel Dupoux, Anne Christophe

Cogn. Sci., 2011

Cued multimodal learning in infancy: a neuro-computational model.

Thomas Hannagan, Rachel Wu

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011