Schulz, Eric

20 publications

ICLR 2025 Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz

NeurIPS 2025 Concept-Guided Interpretability via Neural Chunking Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik, Peter Dayan, Eric Schulz, Zeynep Akata

NeurIPS 2025 Generating Computational Cognitive Models Using Large Language Models Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz

ICLR 2025 Metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models Alex Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz

ICLR 2025 Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models Can Demircan, Tankred Saanum, Akshay Kumar Jagadish, Marcel Binz, Eric Schulz

ICML 2025 Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz

ICML 2024 CogBench: A Large Language Model Walks into a Psychology Lab Julian Coda-Forno, Marcel Binz, Jane X Wang, Eric Schulz

NeurIPS 2024 Evaluating Alignment Between Humans and Neural Network Representations in Image-Based Learning Tasks Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M Baczkowski, Christian F Doeller, Mona M Garvert, Eric Schulz

ICML 2024 Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz

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

NeurIPS 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models Tankred Saanum, Peter Dayan, Eric Schulz

ICLR 2024 Turning Large Language Models into Cognitive Models Marcel Binz, Eric Schulz

NeurIPSW 2023 Biologically-Plausible Hierarchical Chunking on Mixed-Signal Neuromorphic Hardware Atilla Schreiber, Shuchen Wu, Chenxi Wu, Giacomo Indiveri, Eric Schulz

NeurIPS 2023 In-Context Impersonation Reveals Large Language Models' Strengths and Biases Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata

NeurIPS 2023 Meta-in-Context Learning in Large Language Models Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt Botvinick, Jane Wang, Eric Schulz

NeurIPS 2023 Reinforcement Learning with Simple Sequence Priors Tankred Saanum, Noémi Éltető, Peter Dayan, Marcel Binz, Eric Schulz

ICML 2023 The Acquisition of Physical Knowledge in Generative Neural Networks Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz

NeurIPS 2022 Learning Structure from the Ground Up---Hierarchical Representation Learning by Chunking Shuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz

NeurIPS 2022 Modeling Human Exploration Through Resource-Rational Reinforcement Learning Marcel Binz, Eric Schulz

NeurIPS 2016 Probing the Compositionality of Intuitive Functions Eric Schulz, Josh Tenenbaum, David K. Duvenaud, Maarten Speekenbrink, Samuel J Gershman