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ORCIDArmin W. Thomas
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2020 – today
- 2024
[c9]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. ICML 2024- [i11]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 abs/2403.17844 (2024) - 2023
- [j3]Armin W. Thomas
, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller:
Evaluating deep transfer learning for whole-brain cognitive decoding. J. Frankl. Inst. 360(13): 9754-9787 (2023) - [j2]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Benchmarking explanation methods for mental state decoding with deep learning models. NeuroImage 273: 120109 (2023) - [c8]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 - [c7]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: 10373-10391 - [c6]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 - [c5]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 - [i10]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 abs/2302.06646 (2023) - [i9]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 abs/2306.15794 (2023) - [i8]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 abs/2310.12109 (2023) - 2022
- [j1]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) - [c4]Klaus-Robert Müller, Armin W. Thomas, Wojciech Samek:
Deep Learning for Whole-Brain Cognitive Decoding. BCI 2022: 1-3 - [c3]Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack:
Differentiable programming for functional connectomics. ML4H@NeurIPS 2022: 419-455 - [c2]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data. NeurIPS 2022 - [i7]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Comparing interpretation methods in mental state decoding analyses with deep learning models. CoRR abs/2205.15581 (2022) - [i6]Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack:
Differentiable programming for functional connectomics. CoRR abs/2206.00649 (2022) - [i5]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 abs/2212.14052 (2022) - 2021
- [i4]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Challenges for cognitive decoding using deep learning methods. CoRR abs/2108.06896 (2021) - [i3]Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller:
Evaluating deep transfer learning for whole-brain cognitive decoding. CoRR abs/2111.01562 (2021)
2010 – 2019
- 2019
- [c1]Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek:
Deep Transfer Learning for Whole-Brain FMRI Analyses. OR/MLCN@MICCAI 2019: 59-67 - [i2]Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek:
Deep Transfer Learning For Whole-Brain fMRI Analyses. CoRR abs/1907.01953 (2019) - 2018
- [i1]Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek:
Interpretable LSTMs For Whole-Brain Neuroimaging Analyses. CoRR abs/1810.09945 (2018)
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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