Armin W. Thomas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Trec Collections

Learning Models

Manifold Alignment

Top Venues

Publications

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
Mechanistic Design and Scaling of Hybrid Architectures. CoRR (2024)
Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. ICML (2023)
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Benchmarking explanation methods for mental state decoding with deep learning models. NeuroImage 273 (2023)
Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Callum Birch-Sykes, Michael Wornow, Aman Patel, Clayton M. Rabideau, Stefano Massaroli, Yoshua Bengio, Stefano Ermon, Stephen A. Baccus, Christopher Ré
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. CoRR (2023)
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
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. NeurIPS (2023)
Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. ICLR (2023)
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS (2023)
Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. CoRR (2023)
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
Evaluating deep transfer learning for whole-brain cognitive decoding. J. Frankl. Inst. 360 (13) (2023)
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR (2023)
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data. NeurIPS (2022)
Felix Molter, Armin W. Thomas, Scott A. Huettel, Hauke R. Heekeren, Peter N. C. Mohr
Gaze-dependent evidence accumulation predicts multi-alternative risky choice behaviour. PLoS Comput. Biol. 18 (7) (2022)
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Comparing interpretation methods in mental state decoding analyses with deep learning models. CoRR (2022)
Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack
Differentiable programming for functional connectomics. CoRR (2022)
Tri Dao, Daniel Y. Fu, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. CoRR (2022)
Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack
Differentiable programming for functional connectomics. ML4H@NeurIPS (2022)
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Challenges for cognitive decoding using deep learning methods. CoRR (2021)
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
Evaluating deep transfer learning for whole-brain cognitive decoding. CoRR (2021)
Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
Deep Transfer Learning for Whole-Brain FMRI Analyses. OR/MLCN@MICCAI (2019)
Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
Deep Transfer Learning For Whole-Brain fMRI Analyses. CoRR (2019)
Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek
Interpretable LSTMs For Whole-Brain Neuroimaging Analyses. CoRR (2018)