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2020 – today
- 2024
[c2]Sharath C. Koorathota
, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda:
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty. ICMI Companion 2024: 184-194- 2023
- [i5]Arunesh Mittal, Kai Yang, Paul Sajda, John Paisley:
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks. CoRR abs/2303.08230 (2023) - [i4]Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda:
Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers. CoRR abs/2308.13969 (2023) - 2022
- [c1]Arunesh Mittal, John Paisley, Paul Sajda:
Deep Metric Representation Learning for Clinical Resting State fMRI. EMBC 2022: 1-4 - 2021
- [i3]Sharath C. Koorathota, Arunesh Mittal, Richard P. Sloan, Paul Sajda:
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data. CoRR abs/2112.14314 (2021) - 2020
- [i2]Arunesh Mittal, Paul Sajda, John W. Paisley:
Deep Bayesian Nonparametric Factor Analysis. CoRR abs/2011.04770 (2020) - [i1]Arunesh Mittal, Scott W. Linderman, John W. Paisley, Paul Sajda:
Bayesian recurrent state space model for rs-fMRI. CoRR abs/2011.07365 (2020)
Coauthor Index
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