Armin W. Thomas

According to our database, Armin W. Thomas authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Mechanistic Design and Scaling of Hybrid Architectures.

Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Evaluating deep transfer learning for whole-brain cognitive decoding.

Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller

J. Frankl. Inst., September, 2023

Benchmarking explanation methods for mental state decoding with deep learning models.

Armin W. Thomas, Christopher Ré, Russell A. Poldrack

NeuroImage, June, 2023

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution.

Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus

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

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture.

Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré

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

Simple Hardware-Efficient Long Convolutions for Sequence Modeling.

Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2023

Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Gaze-dependent evidence accumulation predicts multi-alternative risky choice behaviour.

Felix Molter, Armin W. Thomas, Scott A. Huettel, Hauke R. Heekeren, Peter N. C. Mohr

PLoS Comput. Biol., 2022

Comparing interpretation methods in mental state decoding analyses with deep learning models.

Armin W. Thomas, Christopher Ré, Russell A. Poldrack

CoRR, 2022

Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data.

Armin W. Thomas, Christopher Ré, Russell A. Poldrack

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentiable programming for functional connectomics.

Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack

Proceedings of the Machine Learning for Health, 2022

Deep Learning for Whole-Brain Cognitive Decoding.

Klaus-Robert Müller, Armin W. Thomas, Wojciech Samek

Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021

Challenges for cognitive decoding using deep learning methods.

Armin W. Thomas, Christopher Ré, Russell A. Poldrack

CoRR, 2021

2019

Deep Transfer Learning for Whole-Brain FMRI Analyses.

Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

2018

Interpretable LSTMs For Whole-Brain Neuroimaging Analyses.

Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek

CoRR, 2018