Eric Schulz - RankMe

101 papers A* 16B 36Journal 48Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can vision language models learn intuitive physics from interaction? CoRR Luca M. Schulze Buschoff, Konstantinos Voudouris, Can Demircan, Eric Schulz
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
2026	J	`jnl`	In-Context Function Learning in Large Language Models. CoRR Elif Akata, Konstantinos Voudouris, Vincent Fortuin, Eric Schulz
2026	J	`jnl`	Measuring What AI Systems Might Do: Towards A Measurement Science in AI. CoRR Konstantinos Voudouris, Mirko Thalmann, Alexander Kipnis, José Hernández-Orallo, Eric Schulz
2025	J	`jnl`	A circuit for predicting hierarchical structure in-context in Large Language Models. CoRR Tankred Saanum, Can Demircan, Samuel J. Gershman, 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	B	`conf`	Bounded Ecologically Rational Meta-learned Inference Explains Human Category Learning. CogSci Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann, Marcel Binz, Eric Schulz
2025	J	`jnl`	Bringing Comparative Cognition To Computers. CoRR Konstantinos Voudouris, Lucy G. Cheke, Eric Schulz
2025	A*	`conf`	Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. ICLR Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz
2025	J	`jnl`	Concept-Guided Interpretability via Neural Chunking. CoRR Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik, Peter S. Dayan, Eric Schulz, Zeynep Akata
2025	J	`jnl`	Discovering Chunks in Neural Embeddings for Interpretability. CoRR Shuchen Wu, Stephan Alaniz, Eric Schulz, Zeynep Akata
2025	J	`jnl`	Exploring System 1 and 2 communication for latent reasoning in LLMs. CoRR Julian Coda-Forno, Zhuokai Zhao, Qiang Zhang, Dipesh Tamboli, Weiwei Li, Xiangjun Fan, Lizhu Zhang, Eric Schulz, Hsiao-Ping Tseng
2025	J	`jnl`	Mechanisms of mistrust: A Bayesian account of misinformation learning. PLoS Comput. Biol. Lion Schulz, Yannick Streicher, Eric Schulz, Rahul Bhui, Peter Dayan
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`	Reference-Free Rating of LLM Responses via Latent Information. CoRR Leander Girrbach, Chi-Ping Su, Tankred Saanum, Richard Socher, Eric Schulz, Zeynep Akata
2025	A*	`conf`	Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. ICLR Can Demircan, Tankred Saanum, Akshay Kumar Jagadish, Marcel Binz, Eric Schulz
2025	A*	`conf`	Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models. ICML Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz
2025	J	`jnl`	Testing the limits of fine-tuning to improve reasoning in vision language models. CoRR Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, 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
2025	J	`jnl`	Visual cognition in multimodal large language models. Nat. Mac. Intell. Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz
2025	A*	`conf`	metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models. ICLR Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz
2025	J	`jnl`	metabeta - A fast neural model for Bayesian mixed-effects regression. CoRR Alexander Kipnis, Marcel Binz, Eric Schulz
2024	B	`conf`	An inductive bias for slowly changing features in human reinforcement learning. CogSci Noa L. Hedrich, Eric Schulz, Sam Hall-McMaster, Nicolas W. Schuck
2024	J	`jnl`	Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. CoRR Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, 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	A*	`conf`	CogBench: a large language model walks into a psychology lab. ICML Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz
2024	J	`jnl`	CogBench: a large language model walks into a psychology lab. CoRR Julian Coda-Forno, Marcel Binz, Jane X. Wang, 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`	Evaluating alignment between humans and neural network representations in image-based learning tasks. NeurIPS Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M. Baczkowski, Christian F. Doeller, Mona M. Garvert, Eric Schulz
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	B	`conf`	Learning abstractions from discrete sequences. CogSci Shuchen Wu, Mirko Thalmann, Eric Schulz
2024	J	`jnl`	Next state prediction gives rise to entangled, yet compositional representations of objects. CoRR Tankred Saanum, Luca M. Schulze Buschoff, Peter Dayan, Eric Schulz
2024	J	`jnl`	Predicting the Future with Simple World Models. CoRR Tankred Saanum, Peter Dayan, Eric Schulz
2024	A*	`conf`	Simplifying Latent Dynamics with Softly State-Invariant World Models. NeurIPS Tankred Saanum, Peter Dayan, 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
2024	B	`conf`	The Effect of Set Size on Long-Term-Memory Retrieval Times in Cued Recall. CogSci Susanne Haridi, Mirko Thalmann, Eric Schulz
2024	A*	`conf`	Turning large language models into cognitive models. ICLR Marcel Binz, Eric Schulz
2024	B	`conf`	Uncertainty-driven little alchemists: Differences in exploration strategies between adults and children in an online game. CogSci Franziska Brändle, Silja Kessler, Azzurra Ruggeri, Eric Schulz
2024	J	`jnl`	metabench - A Sparse Benchmark to Measure General Ability in Large Language Models. CoRR Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz
2023	J	`jnl`	Have we built machines that think like people? CoRR Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz
2023	J	`jnl`	How should the advent of large language models affect the practice of science? CoRR Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk U. 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
2023	A*	`conf`	In-Context Impersonation Reveals Large Language Models' Strengths and Biases. NeurIPS Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
2023	J	`jnl`	In-Context Impersonation Reveals Large Language Models' Strengths and Biases. CoRR Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
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`	Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks. CoRR Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M. Baczkowski, Paula Kaanders, Christian F. Doeller, Mona M. Garvert, 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
2023	A*	`conf`	Meta-in-context learning in large language models. NeurIPS Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz
2023	J	`jnl`	Meta-in-context learning in large language models. CoRR Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
2023	J	`jnl`	Playing repeated games with Large Language Models. CoRR Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz
2023	A*	`conf`	Reinforcement Learning with Simple Sequence Priors. NeurIPS Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
2023	J	`jnl`	Reinforcement Learning with Simple Sequence Priors. CoRR Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
2023	A*	`conf`	The Acquisition of Physical Knowledge in Generative Neural Networks. ICML Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
2023	J	`jnl`	The Acquisition of Physical Knowledge in Generative Neural Networks. CoRR Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
2023	J	`jnl`	Turning large language models into cognitive models. CoRR Marcel Binz, Eric Schulz
2022	B	`conf`	Connecting Exploration, Generalization, and Planning in Correlated Trees. CogSci Tobias Ludwig, Charley M. Wu, Eric Schulz
2022	B	`conf`	Decision-Making with Naturalistic Options. CogSci Can Demircan, Leonardo Pettini, Tankred Saanum, Marcel Binz, Blazej M. Baczkowski, Christian F. Doeller, Mona M. Garvert, Eric Schulz
2022	J	`jnl`	Exploration With a Finite Brain. CoRR Marcel Binz, Eric Schulz
2022	B	`conf`	Fun as maximizing learnability: Balancing difficulty and prior knowledge. CogSci Franziska Brändle, Charley M. Wu, Eric Schulz
2022	J	`jnl`	Learning Parsimonious Dynamics for Generalization in Reinforcement Learning. CoRR Tankred Saanum, Eric Schulz
2022	A*	`conf`	Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking. NeurIPS Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz
2022	A*	`conf`	Modeling Human Exploration Through Resource-Rational Reinforcement Learning. NeurIPS Marcel Binz, Eric Schulz
2022	J	`jnl`	Stochastic Gradient Descent Captures How Children Learn About Physics. CoRR Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
2022	J	`jnl`	Using cognitive psychology to understand GPT-3. CoRR Marcel Binz, Eric Schulz
2021	B	`conf`	Chunking as a Rational Solution to the Speed-Accuracy Trade-off in a Serial Reaction Time Task. CogSci Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz
2021	B	`conf`	Compositional generalization in multi-armed bandits. CogSci Tankred Saanum, Eric Schulz, Maarten Speekenbrink
2021	B	`conf`	How does mental sorting scale? CogSci Susanne Haridi, Charley M. Wu, Ishita Dasgupta, Eric Schulz
2021	B	`conf`	Using Games to Understand Intelligence. CogSci Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz
2020	J	`jnl`	Correction: Similarities and differences in spatial and non-spatial cognitive maps. PLoS Comput. Biol. Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
2020	B	`conf`	Learning sequential patterns from graphical programs. CogSci Anselm Rothe, Eric Schulz, Mathias Sablé-Meyer, Josh Tenenbaum, Azzurra Ruggeri
2020	J	`jnl`	Similarities and differences in spatial and non-spatial cognitive maps. PLoS Comput. Biol. Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
2020	B	`conf`	The Psychology of Human Entropy Intuitions. CogSci Lara Bertram, Eric Schulz, Matthias Hofer, Jonathan D. Nelson
2019	B	`conf`	Exploring the space of human exploration using Entropy Mastermind. CogSci Eric Schulz, Lara Bertram, Matthias Hofer, Jonathan D. Nelson
2019	B	`conf`	Generalization as diffusion: human function learning on graphs. CogSci Charley M. Wu, Eric Schulz, Samuel Gershman
2019	B	`conf`	Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum
2019	B	`conf`	Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework. CogSci Lara Bertram, Eric Schulz, Elif Özel, Matthias Hofer, Laura Martignon, Jonathan D. Nelson
2019	B	`conf`	Under pressure: The influence of time limits on human exploration. CogSci Charley M. Wu, Eric Schulz, Kimberly Gerbaulet, Timothy J. Pleskac, Maarten Speekenbrink
2018	B	`conf`	Active Function Learning. CogSci Angela Jones, Eric Schulz, Björn Meder, Azzurra Ruggeri
2018	B	`conf`	Adaptive planning in human search. CogSci Moritz Krusche, Eric Schulz, Arthur Guez, Maarten Speekenbrink
2018	B	`conf`	Connecting conceptual and spatial search via a model of generalization. CogSci Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
2018	J	`jnl`	Generalization and Search in Risky Environments. Cogn. Sci. Eric Schulz, Charley M. Wu, Quentin J. M. Huys, Andreas Krause, Maarten Speekenbrink
2018	B	`conf`	Is covariance ignorance responsible for the success of heuristics? CogSci Paula Parpart, Eric Schulz
2018	B	`conf`	Learning as program induction. CogSci Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum
2018	B	`conf`	Learning list concepts through program induction. CogSci Joshua S. Rule, Eric Schulz, Steven T. Piantadosi, Josh Tenenbaum
2018	B	`conf`	Learning to act by integrating mental simulations and physical experiments. CogSci Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
2017	B	`conf`	Amortized Hypothesis Generation. CogSci Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman
2017	B	`conf`	It is new, but will it be good? Context-driven exploration of novel options. CogSci Hrvoje Stojic, Eric Schulz, Maarten Speekenbrink
2017	B	`conf`	Mapping the unknown: The spatially correlated multi-armed bandit. CogSci Charley M. Wu, Eric Schulz, Maarten Speekenbrink, Jonathan D. Nelson, Björn Meder
2017	B	`conf`	Strategic exploration in human adaptive control. CogSci Eric Schulz, Edgar D. Klenske, Neil Bramley, Maarten Speekenbrink
2016	B	`conf`	Better safe than sorry: Risky function exploitation through safe optimization. CogSci Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause
2016	J	`jnl`	Better safe than sorry: Risky function exploitation through safe optimization. CoRR Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause
2016	—	`conf`	Probing the Compositionality of Intuitive Functions. NIPS Eric Schulz, Josh Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman
2016	B	`conf`	Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation. CogSci Eric Schulz, Maarten Speekenbrink, Björn Meder
2015	B	`conf`	Active learning as a means to distinguish among prominent decision strategies. CogSci Paula Parpart, Eric Schulz, Maarten Speekenbrink, Bradley C. Love
2015	B	`conf`	Assessing the Perceived Predictability of Functions. CogSci Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman
2015	B	`conf`	Learning and decisions in contextual multi-armed bandit tasks. CogSci Eric Schulz, Emmanouil Konstantinidis, Maarten Speekenbrink
2014	B	`conf`	Predict choice: A comparison of 21 mathematical models. CogSci Eric Schulz, Maarten Speekenbrink, David R. Shanks
2007	J	`jnl`	BLUElink> Development of Operational Oceanography and Servicing in Australia. J. Res. Pract. Inf. Technol. Gary G. Brassington, Tim Pugh, Claire Spillman, Eric Schulz, Helen Beggs, Andreas Schiller, Peter R. Oke