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Akshay Jagadish
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2020 – today
- 2024
- [i4]Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz:
Ecologically rational meta-learned inference explains human category learning. CoRR abs/2402.01821 (2024) - [i3]Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
In-context learning agents are asymmetric belief updaters. CoRR abs/2402.03969 (2024) - 2023
- [i2]Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-Learned Models of Cognition. CoRR abs/2304.06729 (2023) - [i1]Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz:
Inducing anxiety in large language models increases exploration and bias. CoRR abs/2304.11111 (2023) - 2021
- [c2]Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Jagadish, Eric Wang, Edgar Y. Walker, Santiago A. Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S. Ecker, Fabian H. Sinz:
Generalization in data-driven models of primary visual cortex. ICLR 2021 - [c1]Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz:
A flow-based latent state generative model of neural population responses to natural images. NeurIPS 2021: 15801-15815
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last updated on 2024-04-25 05:58 CEST by the dblp team
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