Akshay K. Jagadish

According to our database, Akshay K. Jagadish authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Automated scientific minimization of regret.

Marcel Binz, Akshay K. Jagadish, Milena Rmus, Eric Schulz

CoRR, May, 2025

Towards Automation of Cognitive Modeling using Large Language Models.

Milena Rmus, Akshay K. Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz

CoRR, February, 2025

Assessing and alleviating state anxiety in large language models.

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

npj Digit. Medicine, 2025

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models.

Can Demircan, Tankred Saanum, Akshay Kumar Jagadish, Marcel Binz, Eric Schulz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Centaur: a foundation model of human cognition.

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 C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz

CoRR, 2024

Ecologically rational meta-learned inference explains human category learning.

Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz

CoRR, 2024

In-Context Learning Agents Are Asymmetric Belief Updaters.

Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks.

Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Inducing anxiety in large language models increases exploration and bias.

Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz

CoRR, 2023

Meta-Learned Models of Cognition.

Marcel Binz, Ishita Dasgupta, Akshay K. Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz

CoRR, 2023

2021

A flow-based latent state generative model of neural population responses to natural images.

Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalization in data-driven models of primary visual cortex.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

2016

Selfie Detection by Synergy-Constraint Based Convolutional Neural Network.

Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016