Armin W. Thomas

Neuroscience · Life Sciences

13h-index3.1kcitations39works80.42yr avg
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Research Topics

Functional Brain Connectivity Studies(10), Decision-Making and Behavioral Economics(9), Topic Modeling(6), Economic and Environmental Valuation(5), Machine Learning in Healthcare(5)

Publications39 total

Quantifying Memory Utilization with Effective State-Size
arXiv (Cornell University)·2025Open Access
STAR: Synthesis of Tailored Architectures
arXiv (Cornell University)·2024Open Access
Sequence modeling and design from molecular to genome scale with Evo
Science·2024· 317 citedOpen Access
Mechanistic Design and Scaling of Hybrid Architectures
arXiv (Cornell University)·2024· 4 citedOpen Access
Sequence modeling and design from molecular to genome scale with Evo
2024· 80 citedOpen Access
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution.
PubMed·2023· 19 citedOpen Access
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
arXiv (Cornell University)·2023· 14 citedOpen Access
Evaluating deep transfer learning for whole-brain cognitive decoding
Journal of the Franklin Institute·2023· 9 citedOpen Access
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
arXiv (Cornell University)·2023· 147 citedOpen Access
Benchmarking explanation methods for mental state decoding with deep learning models
NeuroImage·2023· 9 citedOpen Access
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
arXiv (Cornell University)·2023· 6 citedOpen Access
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
arXiv (Cornell University)·2022· 116 citedOpen Access
Interpreting mental state decoding with deep learning models
Trends in Cognitive Sciences·2022· 19 cited
Gaze-dependent evidence accumulation predicts multi-alternative risky choice behaviour
PLoS Computational Biology·2022· 15 citedOpen Access
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
arXiv (Cornell University)·2022· 19 citedOpen Access
Differentiable programming for functional connectomics
arXiv (Cornell University)·2022· 1 citedOpen Access
Comparing interpretation methods in mental state decoding analyses with deep learning models
arXiv (Cornell University)·2022· 1 citedOpen Access
Representing Neural Activity Using Recurrent Autoencoders
2022 Conference on Cognitive Computational Neuroscience·2022
Evaluating deep transfer learning for whole-brain cognitive decoding
arXiv (Cornell University)·2021· 3 citedOpen Access
On the Opportunities and Risks of Foundation Models
arXiv (Cornell University)·2021· 2.1k citedOpen Access
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Frequent Co-authors

Felix Molter(10), Hauke R. Heekeren(10), Christopher Ré(8), Michael Poli(8), Peter N. C. Mohr(7), Russell A. Poldrack(7), Stefano Ermon(6), Ian Krajbich(6), Klaus‐Robert Müller(6), Wojciech Samek(6), Éric Nguyen(5), Stefano Massaroli(5), Stephen A. Baccus(4), Christopher Ré(4), Brian Hie(3), Daniel Y. Fu(3), Atri Rudra(3), Simran Arora(2), Matthew G. Durrant(2), Brian Kang(2)