Eric Schulz

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 59

Top Topics

Stochastic Gradient Descent

Reinforcement Learning

Visual Representations

Top Venues

PLoS Comput. Biol.

Publications

Marcel Binz, Eric Schulz
Turning large language models into cognitive models. ICLR (2024)
Tankred Saanum, Peter Dayan, Eric Schulz
Predicting the Future with Simple World Models. CoRR (2024)
Alex Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz
metabench - A Sparse Benchmark to Measure General Ability in Large Language Models. CoRR (2024)
Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz
In-context learning agents are asymmetric belief updaters. CoRR (2024)
Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz
Ecologically rational meta-learned inference explains human category learning. CoRR (2024)
Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz
CogBench: a large language model walks into a psychology lab. CoRR (2024)
Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz
Playing repeated games with Large Language Models. CoRR (2023)
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz
Meta-in-context learning in large language models. NeurIPS (2023)
Marcel Binz, Eric Schulz
Turning large language models into cognitive models. CoRR (2023)
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
The Acquisition of Physical Knowledge in Generative Neural Networks. ICML (2023)
Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz
Have we built machines that think like people? CoRR (2023)
Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz
Inducing anxiety in large language models increases exploration and bias. CoRR (2023)
Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M. Baczkowski, Paula Kaanders, Christian F. Doeller, Mona M. Garvert, Eric Schulz
Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks. CoRR (2023)
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
Meta-in-context learning in large language models. CoRR (2023)
Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz
How should the advent of large language models affect the practice of science? CoRR (2023)
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. NeurIPS (2023)
Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
Reinforcement Learning with Simple Sequence Priors. NeurIPS (2023)
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. CoRR (2023)
Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
Meta-Learned Models of Cognition. CoRR (2023)
Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
Reinforcement Learning with Simple Sequence Priors. CoRR (2023)
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
The Acquisition of Physical Knowledge in Generative Neural Networks. CoRR (2023)
Can Demircan, Leonardo Pettini, Tankred Saanum, Marcel Binz, Blazej M. Baczkowski, Christian F. Doeller, Mona M. Garvert, Eric Schulz
Decision-Making with Naturalistic Options. CogSci (2022)
Marcel Binz, Eric Schulz
Modeling Human Exploration Through Resource-Rational Reinforcement Learning. NeurIPS (2022)
Marcel Binz, Eric Schulz
Using cognitive psychology to understand GPT-3. CoRR (2022)
Tobias Ludwig, Charley M. Wu, Eric Schulz
Connecting Exploration, Generalization, and Planning in Correlated Trees. CogSci (2022)
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
Stochastic Gradient Descent Captures How Children Learn About Physics. CoRR (2022)
Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz
Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking. NeurIPS (2022)
Marcel Binz, Eric Schulz
Exploration With a Finite Brain. CoRR (2022)
Franziska Brändle, Charley M. Wu, Eric Schulz
Fun as maximizing learnability: Balancing difficulty and prior knowledge. CogSci (2022)
Tankred Saanum, Eric Schulz
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning. CoRR (2022)
Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz
Chunking as a Rational Solution to the Speed-Accuracy Trade-off in a Serial Reaction Time Task. CogSci (2021)
Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz
Using Games to Understand Intelligence. CogSci (2021)
Tankred Saanum, Eric Schulz, Maarten Speekenbrink
Compositional generalization in multi-armed bandits. CogSci (2021)
Susanne Haridi, Charley M. Wu, Ishita Dasgupta, Eric Schulz
How does mental sorting scale? CogSci (2021)
Anselm Rothe, Eric Schulz, Mathias Sablé-Meyer, Josh Tenenbaum, Azzurra Ruggeri
Learning sequential patterns from graphical programs. CogSci (2020)
Lara Bertram, Eric Schulz, Matthias Hofer, Jonathan D. Nelson
The Psychology of Human Entropy Intuitions. CogSci (2020)
Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
Correction: Similarities and differences in spatial and non-spatial cognitive maps. PLoS Comput. Biol. 16 (10) (2020)
Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
Similarities and differences in spatial and non-spatial cognitive maps. PLoS Comput. Biol. 16 (9) (2020)
Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum
Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci (2019)
Charley M. Wu, Eric Schulz, Samuel Gershman
Generalization as diffusion: human function learning on graphs. CogSci (2019)
Charley M. Wu, Eric Schulz, Kimberly Gerbaulet, Timothy J. Pleskac, Maarten Speekenbrink
Under pressure: The influence of time limits on human exploration. CogSci (2019)
Eric Schulz, Lara Bertram, Matthias Hofer, Jonathan D. Nelson
Exploring the space of human exploration using Entropy Mastermind. CogSci (2019)
Lara Bertram, Eric Schulz, Elif Özel, Matthias Hofer, Laura Martignon, Jonathan D. Nelson
Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework. CogSci (2019)
Paula Parpart, Eric Schulz
Is covariance ignorance responsible for the success of heuristics? CogSci (2018)
Angela Jones, Eric Schulz, Björn Meder, Azzurra Ruggeri
Active Function Learning. CogSci (2018)
Joshua Rule, Eric Schulz, Steven T. Piantadosi, Josh Tenenbaum
Learning list concepts through program induction. CogSci (2018)
Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
Learning to act by integrating mental simulations and physical experiments. CogSci (2018)
Moritz Krusche, Eric Schulz, Arthur Guez, Maarten Speekenbrink
Adaptive planning in human search. CogSci (2018)
Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum
Learning as program induction. CogSci (2018)
Eric Schulz, Charley M. Wu, Quentin J. M. Huys, Andreas Krause, Maarten Speekenbrink
Generalization and Search in Risky Environments. Cogn. Sci. 42 (8) (2018)
Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
Connecting conceptual and spatial search via a model of generalization. CogSci (2018)
Eric Schulz, Edgar D. Klenske, Neil Bramley, Maarten Speekenbrink
Strategic exploration in human adaptive control. CogSci (2017)
Hrvoje Stojic, Eric Schulz, Maarten Speekenbrink
It is new, but will it be good? Context-driven exploration of novel options. CogSci (2017)
Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman
Amortized Hypothesis Generation. CogSci (2017)
Charley M. Wu, Eric Schulz, Maarten Speekenbrink, Jonathan D. Nelson, Björn Meder
Mapping the unknown: The spatially correlated multi-armed bandit. CogSci (2017)
Eric Schulz, Maarten Speekenbrink, Björn Meder
Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation. CogSci (2016)
Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause
Better safe than sorry: Risky function exploitation through safe optimization. CoRR (2016)
Eric Schulz, Josh Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman
Probing the Compositionality of Intuitive Functions. NIPS (2016)
Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause
Better safe than sorry: Risky function exploitation through safe optimization. CogSci (2016)
Eric Schulz, Emmanouil Konstantinidis, Maarten Speekenbrink
Learning and decisions in contextual multi-armed bandit tasks. CogSci (2015)
Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman
Assessing the Perceived Predictability of Functions. CogSci (2015)
Paula Parpart, Eric Schulz, Maarten Speekenbrink, Bradley C. Love
Active learning as a means to distinguish among prominent decision strategies. CogSci (2015)
Eric Schulz, Maarten Speekenbrink, David R. Shanks
Predict choice: A comparison of 21 mathematical models. CogSci (2014)
Gary G. Brassington, Tim Pugh, Claire Spillman, Eric Schulz, Helen Beggs, Andreas Schiller, Peter R. Oke
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