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ORCIDAkshay K. Jagadish
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2020 – today
- 2025
[j1]Ziv Ben-Zion, Kristin Witte, Akshay K. Jagadish, Or Duek
, Ilan Harpaz-Rotem, Marie-Christine Khorsandian, Achim Burrer, Erich Seifritz, Philipp Homan, Eric Schulz, Tobias Spiller:
Assessing and alleviating state anxiety in large language models. npj Digit. Medicine 8(1) (2025)- [c6]Can Demircan, Tankred Saanum, Akshay Kumar Jagadish, Marcel Binz, Eric Schulz:
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. ICLR 2025 - [i8]Milena Rmus, Akshay K. Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz:
Towards Automation of Cognitive Modeling using Large Language Models. CoRR abs/2502.00879 (2025) - 2024
- [c5]Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz:
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. ICML 2024 - [c4]Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
In-Context Learning Agents Are Asymmetric Belief Updaters. ICML 2024 - [i7]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) - [i6]Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
In-context learning agents are asymmetric belief updaters. CoRR abs/2402.03969 (2024) - [i5]Can Demircan, Tankred Saanum, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. CoRR abs/2410.01280 (2024) - [i4]Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz:
Centaur: a foundation model of human cognition. CoRR abs/2410.20268 (2024) - 2023
- [i3]Marcel Binz, Ishita Dasgupta, Akshay K. Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-Learned Models of Cognition. CoRR abs/2304.06729 (2023) - [i2]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
- [c3]Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Kumar 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 - [c2]Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar 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
2010 – 2019
- 2016
- [c1]Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat:
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. SITIS 2016: 335-342 - [i1]Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat:
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. CoRR abs/1611.04357 (2016)
Coauthor Index
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