| 2025 | CogSci | Bounded Ecologically Rational Meta-learned Inference Explains Human Category Learning. | Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann, Marcel Binz, Eric Schulz |
| 2025 | ICLR | Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. | Can Demircan, Tankred Saanum, Akshay Kumar Jagadish, Marcel Binz, Eric Schulz |
| 2025 | ICLR | metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models. | Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz |
| 2025 | ICLR | Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. | Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz |
| 2025 | ICML | 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 |
| 2024 | CogSci | Uncertainty-driven little alchemists: Differences in exploration strategies between adults and children in an online game. | Franziska Brndle, Silja Kessler, Azzurra Ruggeri, Eric Schulz |
| 2024 | CogSci | The Effect of Set Size on Long-Term-Memory Retrieval Times in Cued Recall. | Susanne Haridi, Mirko Thalmann, Eric Schulz |
| 2024 | CogSci | An inductive bias for slowly changing features in human reinforcement learning. | Noa L. Hedrich, Eric Schulz, Sam Hall-McMaster, Nicolas W. Schuck |
| 2024 | CogSci | Learning abstractions from discrete sequences. | Shuchen Wu, Mirko Thalmann, Eric Schulz |
| 2024 | ICLR | Turning large language models into cognitive models. | Marcel Binz, Eric Schulz |
| 2024 | ICML | CogBench: a large language model walks into a psychology lab. | Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz |
| 2024 | ICML | 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 |
| 2024 | ICML | In-Context Learning Agents Are Asymmetric Belief Updaters. | Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz |
| 2023 | ICML | The Acquisition of Physical Knowledge in Generative Neural Networks. | Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz |
| 2022 | CogSci | Connecting Exploration, Generalization, and Planning in Correlated Trees. | Tobias Ludwig, Charley M. Wu, Eric Schulz |
| 2022 | CogSci | Fun as maximizing learnability: Balancing difficulty and prior knowledge. | Franziska Brndle, Charley M. Wu, Eric Schulz |
| 2022 | CogSci | Decision-Making with Naturalistic Options. | Can Demircan, Leonardo Pettini, Tankred Saanum, Marcel Binz, Blazej M. Baczkowski, Christian F. Doeller, Mona M. Garvert, Eric Schulz |
| 2021 | CogSci | Using Games to Understand Intelligence. | Franziska Brndle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz |
| 2021 | CogSci | How does mental sorting scale? | Susanne Haridi, Charley M. Wu, Ishita Dasgupta, Eric Schulz |
| 2021 | CogSci | Compositional generalization in multi-armed bandits. | Tankred Saanum, Eric Schulz, Maarten Speekenbrink |
| 2021 | CogSci | Chunking as a Rational Solution to the Speed-Accuracy Trade-off in a Serial Reaction Time Task. | Shuchen Wu, Nomi lteto, Ishita Dasgupta, Eric Schulz |
| 2020 | CogSci | The Psychology of Human Entropy Intuitions. | Lara Bertram, Eric Schulz, Matthias Hofer, Jonathan D. Nelson |
| 2020 | CogSci | Learning sequential patterns from graphical programs. | Anselm Rothe, Eric Schulz, Mathias Sabl-Meyer, Josh Tenenbaum, Azzurra Ruggeri |
| 2019 | CogSci | Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework. | Lara Bertram, Eric Schulz, Elif zel, Matthias Hofer, Laura Martignon, Jonathan D. Nelson |
| 2019 | CogSci | Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. | Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum |
| 2019 | CogSci | Exploring the space of human exploration using Entropy Mastermind. | Eric Schulz, Lara Bertram, Matthias Hofer, Jonathan D. Nelson |
| 2019 | CogSci | Generalization as diffusion: human function learning on graphs. | Charley M. Wu, Eric Schulz, Samuel Gershman |
| 2019 | CogSci | Under pressure: The influence of time limits on human exploration. | Charley M. Wu, Eric Schulz, Kimberly Gerbaulet, Timothy J. Pleskac, Maarten Speekenbrink |
| 2018 | CogSci | Learning as program induction. | Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum |
| 2018 | CogSci | Learning to act by integrating mental simulations and physical experiments. | Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman |
| 2018 | CogSci | Active Function Learning. | Angela Jones, Eric Schulz, Bjrn Meder, Azzurra Ruggeri |
| 2018 | CogSci | Adaptive planning in human search. | Moritz Krusche, Eric Schulz, Arthur Guez, Maarten Speekenbrink |
| 2018 | CogSci | Is covariance ignorance responsible for the success of heuristics? | Paula Parpart, Eric Schulz |
| 2018 | CogSci | Learning list concepts through program induction. | Joshua S. Rule, Eric Schulz, Steven T. Piantadosi, Josh Tenenbaum |
| 2018 | CogSci | Connecting conceptual and spatial search via a model of generalization. | Charley M. Wu, Eric Schulz, Mona M. Garvert, Bjrn Meder, Nicolas W. Schuck |
| 2017 | CogSci | Amortized Hypothesis Generation. | Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman |
| 2017 | CogSci | Strategic exploration in human adaptive control. | Eric Schulz, Edgar D. Klenske, Neil Bramley, Maarten Speekenbrink |
| 2017 | CogSci | It is new, but will it be good? Context-driven exploration of novel options. | Hrvoje Stojic, Eric Schulz, Maarten Speekenbrink |
| 2017 | CogSci | Mapping the unknown: The spatially correlated multi-armed bandit. | Charley M. Wu, Eric Schulz, Maarten Speekenbrink, Jonathan D. Nelson, Bjrn Meder |
| 2016 | CogSci | Better safe than sorry: Risky function exploitation through safe optimization. | Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause |
| 2016 | CogSci | Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation. | Eric Schulz, Maarten Speekenbrink, Bjrn Meder |
| 2015 | CogSci | Active learning as a means to distinguish among prominent decision strategies. | Paula Parpart, Eric Schulz, Maarten Speekenbrink, Bradley C. Love |
| 2015 | CogSci | Learning and decisions in contextual multi-armed bandit tasks. | Eric Schulz, Emmanouil Konstantinidis, Maarten Speekenbrink |
| 2015 | CogSci | Assessing the Perceived Predictability of Functions. | Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman |
| 2014 | CogSci | Predict choice: A comparison of 21 mathematical models. | Eric Schulz, Maarten Speekenbrink, David R. Shanks |