Akshay K. Jagadish

14 papers A* 2Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can we automatize scientific discovery in the cognitive sciences?
CoRR
Akshay K. Jagadish, Milena Rmus, Kristin Witte, Marvin Mathony, Marcel Binz, Eric Schulz
2025 J jnl
A foundation model to predict and capture human cognition.
Nat.
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
2025 J jnl
Assessing and alleviating state anxiety in large language models.
npj Digit. Medicine
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
2025 J jnl
Automated scientific minimization of regret.
CoRR
Marcel Binz, Akshay K. Jagadish, Milena Rmus, Eric Schulz
2025 J jnl
Meta-learning ecological priors from large language models explains human learning and decision making.
CoRR
Akshay K. Jagadish, Mirko Thalmann, Julian Coda-Forno, Marcel Binz, Eric Schulz
2025 J jnl
Towards Automation of Cognitive Modeling using Large Language Models.
CoRR
Milena Rmus, Akshay K. Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz
2024 J jnl
Centaur: a foundation model of human cognition.
CoRR
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
2024 J jnl
Ecologically rational meta-learned inference explains human category learning.
CoRR
Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz
2024 A* conf
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks.
ICML
Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz
2024 A* conf
In-Context Learning Agents Are Asymmetric Belief Updaters.
ICML
Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz
2024 J jnl
In-context learning agents are asymmetric belief updaters.
CoRR
Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz
2024 J jnl
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models.
CoRR
Can Demircan, Tankred Saanum, Akshay K. Jagadish, Marcel Binz, Eric Schulz
2023 J jnl
Inducing anxiety in large language models increases exploration and bias.
CoRR
Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz
2023 J jnl
Meta-Learned Models of Cognition.
CoRR
Marcel Binz, Ishita Dasgupta, Akshay K. Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz