Akshay K. Jagadish

According to our database, Akshay K. Jagadish authored at least 23 papers between 2016 and 2026.

Collaborative distances:

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

2026

Post-training makes large language models less human-like.

Marcel Binz, Elif Akata, Abdullah Almaatouq, Mohammed Alsobay, Oleksii Ariasov, Franziska Brändle, David Broska, Jason W. Burton, Nuno Busch, Frederick Callaway, Vanessa Cheung, Brian R. Christian, Julian Coda-Forno, Can Demircan, Vittoria Dentella, Maria K. Eckstein, Noémi Élteto, Michael Franke, Thomas L. Griffiths, Fritz Günther, Susanne Haridi, Sebastian Hellmann, Stefan Herytash, Linus Hof, Eleanor Holton, Isabelle Hoxha, Zak Hussain, Akshay K. Jagadish, Elif Kara, Valentin Kriegmair, Evelina Leivada, Ji-An Li, Tobias Ludwig, Maximilian Maier, Marcelo G. Mattar, Marvin Mathony, Alireza Modirshanechi, Robin Na, Mariia Nadverniuk, Antonios Nasioulas, Surabhi S. Nath, Helen Niemeyer, Kate Nussenbaum, Sebastian Olschewski, Thorsten Pachur, Stefano Palminteri, Aliona Petrenco, Camille V. Phaneuf-Hadd, Angelo Pirrone, Manuel Rausch, Laura Raveling, Shashank Reddy, Milena Rmus, Evan M. Russek, Tankred Saanum, Kai Sandbrink, Louis Schiekiera, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Leah H. Somerville, Mikhail S. Spektor, Xin Sui, Christopher Summerfield, Mirko Thalmann, Anna Isabel Thoma, Taisiia Tikhomirova, Vuong Truong, Polina Tsvilodub, Konstantinos Voudouris, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Songlin Xu, Lance Ying, Xinyu Zhang, Jian-Qiao Zhu, Eric Schulz

CoRR, May, 2026

Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior.

Hanbo Xie, Akshay K. Jagadish, Lan Pan, Robert C. Wilson

CoRR, May, 2026

Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences.

Suyog Chandramouli, George Kachergis, Akshay K. Jagadish

CoRR, April, 2026

Can we automatize scientific discovery in the cognitive sciences?

Akshay K. Jagadish, Milena Rmus, Kristin Witte, Marvin Mathony, Marcel Binz, Eric Schulz

CoRR, March, 2026

2025

Meta-learning ecological priors from large language models explains human learning and decision making.

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

CoRR, September, 2025

A foundation model to predict and capture 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, 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

Nat., August, 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

Meta-Learning: A Unifying Framework for Testing Theories of Human Learning.

Akshay K. Jagadish

PhD thesis, 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

Generating Computational Cognitive models using Large Language Models.

Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Bounded Ecologically Rational Meta-learned Inference Explains Human Category Learning.

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

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 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

In-context learning in natural and artificial intelligence.

Akshay Kumar Jagadish, Ishita Dasgupta, Jacques Pesnot Lerousseau, Marcel Binz

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 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