Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. - Yashas Annadani; Vijayakrishna Naganoor; Akshay Kumar Jagadish; Krishnan Chemmangat (SITIS, 2016)

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 (ICLR, 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 (NeurIPS, 2021)

Meta-Learned Models of Cognition. - Marcel Binz; Ishita Dasgupta 001; Akshay K. Jagadish; Matthew M. Botvinick; Jane X. Wang; Eric Schulz (CoRR, 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)

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 (ICML, 2024)

In-Context Learning Agents Are Asymmetric Belief Updaters. - Johannes A. Schubert; Akshay K. Jagadish; Marcel Binz; Eric Schulz (ICML, 2024)

Ecologically rational meta-learned inference explains human category learning. - Akshay K. Jagadish; Julian Coda-Forno; Mirko Thalmann; Eric Schulz; Marcel Binz (CoRR, 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 001; Susanne Haridi; et al. (CoRR, 2024)

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. - Can Demircan; Tankred Saanum; Akshay Kumar Jagadish; Marcel Binz; Eric Schulz (ICLR, 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)

Towards Automation of Cognitive Modeling using Large Language Models. - Milena Rmus; Akshay K. Jagadish; Marvin Mathony; Tobias Ludwig 003; Eric Schulz (CoRR, 2025)

Automated scientific minimization of regret. - Marcel Binz; Akshay K. Jagadish; Milena Rmus; Eric Schulz (CoRR, 2025)