Thomas Hannagan

25 papers A* 1B 3Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning.
AABI
Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan
2025 J jnl
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning.
CoRR
Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan
2025 J jnl
Recurrent neural networks as neuro-computational models of human speech recognition.
PLoS Comput. Biol.
Christian Brodbeck, Thomas Hannagan, James S. Magnuson
2025 B conf
The Generalized Lotka-Volterra Interactive Activation Model of Word Recognition.
CogSci
Jonathan Mitchell, Kevin S. Brown, James S. Magnuson, Thomas Hannagan
2025 J jnl
The Initialization Determines Whether In-Context Learning Is Gradient Descent.
CoRR
Shifeng Xie, Rui Yuan, Simone Rossi, Thomas Hannagan
2025 J jnl
The Initialization Determines Whether In-Context Learning Is Gradient Descent.
Trans. Mach. Learn. Res.
Shifeng Xie, Rui Yuan, Simone Rossi, Thomas Hannagan
2024 — conf
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation.
ECCV (29)
Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
2024 J jnl
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation.
CoRR
Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
2023 J jnl
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning.
CoRR
Marc Schachtsiek, Simone Rossi, Thomas Hannagan
2023 A* conf
On permutation symmetries in Bayesian neural network posteriors: a variational perspective.
NeurIPS
Simone Rossi, Ankit Singh, Thomas Hannagan
2023 J jnl
On permutation symmetries in Bayesian neural network posteriors: a variational perspective.
CoRR
Simone Rossi, Ankit Singh, Thomas Hannagan
2022 — conf
Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU.
SYSINT
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 J jnl
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU.
CoRR
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 — conf
Leveraging Structured Pruning of Convolutional Neural Networks.
SiPS
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 J jnl
Leveraging Structured Pruning of Convolutional Neural Networks.
CoRR
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 J jnl
Rethinking Weight Decay for Efficient Neural Network Pruning.
J. Imaging
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
2020 J jnl
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay.
CoRR
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
2013 J jnl
Computational models of location-invariant orthographic processing.
Connect. Sci.
Frédéric Dandurand, Thomas Hannagan, Jonathan Grainger
2013 J jnl
Learning Spatial Invariance with the Trace Rule in Nonuniform Distributions.
Neural Comput.
Jasmin Léveillé, Thomas Hannagan
2013 J jnl
The Lazy Visual Word Form Area: Computational Insights into Location-Sensitivity.
PLoS Comput. Biol.
Thomas Hannagan, Jonathan Grainger
2012 B conf
A time-invariant connectionist model of spoken word recognition.
CogSci
Thomas Hannagan, James Magnusson, Jonathan Grainger
2012 J jnl
Protein Analysis Meets Visual Word Recognition: A Case for String Kernels in the Brain.
Cogn. Sci.
Thomas Hannagan, Jonathan Grainger
2011 J jnl
Broken Symmetries in a Location-Invariant Word Recognition Network.
Neural Comput.
Thomas Hannagan, Frédéric Dandurand, Jonathan Grainger
2011 B conf
Cued multimodal learning in infancy: a neuro-computational model.
CogSci
Thomas Hannagan, Rachel Wu
2011 J jnl
Holographic String Encoding.
Cogn. Sci.
Thomas Hannagan, Emmanuel Dupoux, Anne Christophe