default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEric Schulz
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c42]Marcel Binz, Eric Schulz:
Turning large language models into cognitive models. ICLR 2024- [c41]Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz:
CogBench: a large language model walks into a psychology lab. ICML 2024 - [c40]Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz:
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. ICML 2024 - [c39]Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
In-Context Learning Agents Are Asymmetric Belief Updaters. ICML 2024 - [i22]Tankred Saanum, Peter Dayan, Eric Schulz:
Predicting the Future with Simple World Models. CoRR abs/2401.17835 (2024) - [i21]Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz:
Ecologically rational meta-learned inference explains human category learning. CoRR abs/2402.01821 (2024) - [i20]Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
In-context learning agents are asymmetric belief updaters. CoRR abs/2402.03969 (2024) - [i19]Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz:
CogBench: a large language model walks into a psychology lab. CoRR abs/2402.18225 (2024) - [i18]Alex Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz:
metabench - A Sparse Benchmark to Measure General Ability in Large Language Models. CoRR abs/2407.12844 (2024) - [i17]Can Demircan, Tankred Saanum, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. CoRR abs/2410.01280 (2024) - 2023
- [c38]Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz:
The Acquisition of Physical Knowledge in Generative Neural Networks. ICML 2023: 30321-30341 - [c37]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 - [c36]Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz:
Reinforcement Learning with Simple Sequence Priors. NeurIPS 2023 - [c35]Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata:
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. NeurIPS 2023 - [i16]Marcel Binz, Ishita Dasgupta, Akshay K. Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-Learned Models of Cognition. CoRR abs/2304.06729 (2023) - [i15]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 abs/2304.11111 (2023) - [i14]Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-in-context learning in large language models. CoRR abs/2305.12907 (2023) - [i13]Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata:
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. CoRR abs/2305.14930 (2023) - [i12]Elif Akata
, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz:
Playing repeated games with Large Language Models. CoRR abs/2305.16867 (2023) - [i11]Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz:
Reinforcement Learning with Simple Sequence Priors. CoRR abs/2305.17109 (2023) - [i10]Marcel Binz, Eric Schulz:
Turning large language models into cognitive models. CoRR abs/2306.03917 (2023) - [i9]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 abs/2306.09377 (2023) - [i8]Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz:
The Acquisition of Physical Knowledge in Generative Neural Networks. CoRR abs/2310.19943 (2023) - [i7]Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz:
Have we built machines that think like people? CoRR abs/2311.16093 (2023) - [i6]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 abs/2312.03759 (2023) - 2022
- [c34]Tobias Ludwig, Charley M. Wu, Eric Schulz:
Connecting Exploration, Generalization, and Planning in Correlated Trees. CogSci 2022 - [c33]Franziska Brändle, Charley M. Wu, Eric Schulz:
Fun as maximizing learnability: Balancing difficulty and prior knowledge. CogSci 2022 - [c32]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 - [c31]Marcel Binz, Eric Schulz:
Modeling Human Exploration Through Resource-Rational Reinforcement Learning. NeurIPS 2022 - [c30]Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz:
Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking. NeurIPS 2022 - [i5]Marcel Binz, Eric Schulz:
Exploration With a Finite Brain. CoRR abs/2201.11817 (2022) - [i4]Marcel Binz, Eric Schulz:
Using cognitive psychology to understand GPT-3. CoRR abs/2206.14576 (2022) - [i3]Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz:
Stochastic Gradient Descent Captures How Children Learn About Physics. CoRR abs/2209.12344 (2022) - [i2]Tankred Saanum, Eric Schulz:
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning. CoRR abs/2209.14781 (2022) - 2021
- [c29]Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz:
Using Games to Understand Intelligence. CogSci 2021 - [c28]Susanne Haridi, Charley M. Wu, Ishita Dasgupta, Eric Schulz:
How does mental sorting scale? CogSci 2021 - [c27]Tankred Saanum, Eric Schulz, Maarten Speekenbrink:
Compositional generalization in multi-armed bandits. CogSci 2021 - [c26]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 - 2020
- [j4]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) - [j3]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) - [c25]Lara Bertram, Eric Schulz, Matthias Hofer, Jonathan D. Nelson:
The Psychology of Human Entropy Intuitions. CogSci 2020 - [c24]Anselm Rothe, Eric Schulz, Mathias Sablé-Meyer, Josh Tenenbaum, Azzurra Ruggeri:
Learning sequential patterns from graphical programs. CogSci 2020
2010 – 2019
- 2019
- [c23]Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum:
Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci 2019: 1-2 - [c22]Charley M. Wu, Eric Schulz, Kimberly Gerbaulet, Timothy J. Pleskac, Maarten Speekenbrink:
Under pressure: The influence of time limits on human exploration. CogSci 2019: 1219-1225 - [c21]Eric Schulz, Lara Bertram, Matthias Hofer, Jonathan D. Nelson:
Exploring the space of human exploration using Entropy Mastermind. CogSci 2019: 2762-2768 - [c20]Charley M. Wu, Eric Schulz, Samuel Gershman:
Generalization as diffusion: human function learning on graphs. CogSci 2019: 3122-3128 - [c19]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: 3410 - 2018
- [j2]Eric Schulz, Charley M. Wu, Quentin J. M. Huys, Andreas Krause, Maarten Speekenbrink:
Generalization and Search in Risky Environments. Cogn. Sci. 42(8): 2592-2620 (2018) - [c18]Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum:
Learning as program induction. CogSci 2018 - [c17]Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman:
Learning to act by integrating mental simulations and physical experiments. CogSci 2018 - [c16]Angela Jones, Eric Schulz, Björn Meder, Azzurra Ruggeri:
Active Function Learning. CogSci 2018 - [c15]Moritz Krusche, Eric Schulz, Arthur Guez, Maarten Speekenbrink:
Adaptive planning in human search. CogSci 2018 - [c14]Paula Parpart, Eric Schulz:
Is covariance ignorance responsible for the success of heuristics? CogSci 2018 - [c13]Joshua S. Rule, Eric Schulz, Steven T. Piantadosi, Josh Tenenbaum:
Learning list concepts through program induction. CogSci 2018 - [c12]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 - 2017
- [c11]Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman:
Amortized Hypothesis Generation. CogSci 2017 - [c10]Eric Schulz, Edgar D. Klenske, Neil Bramley, Maarten Speekenbrink:
Strategic exploration in human adaptive control. CogSci 2017 - [c9]Hrvoje Stojic, Eric Schulz, Maarten Speekenbrink:
It is new, but will it be good? Context-driven exploration of novel options. CogSci 2017 - [c8]Charley M. Wu, Eric Schulz, Maarten Speekenbrink, Jonathan D. Nelson, Björn Meder:
Mapping the unknown: The spatially correlated multi-armed bandit. CogSci 2017 - 2016
- [c7]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 - [c6]Eric Schulz, Maarten Speekenbrink, Björn Meder:
Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation. CogSci 2016 - [c5]Eric Schulz, Josh Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman:
Probing the Compositionality of Intuitive Functions. NIPS 2016: 3729-3737 - [i1]Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause:
Better safe than sorry: Risky function exploitation through safe optimization. CoRR abs/1602.01052 (2016) - 2015
- [c4]Paula Parpart, Eric Schulz, Maarten Speekenbrink, Bradley C. Love:
Active learning as a means to distinguish among prominent decision strategies. CogSci 2015 - [c3]Eric Schulz, Emmanouil Konstantinidis, Maarten Speekenbrink:
Learning and decisions in contextual multi-armed bandit tasks. CogSci 2015 - [c2]Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman:
Assessing the Perceived Predictability of Functions. CogSci 2015 - 2014
- [c1]Eric Schulz, Maarten Speekenbrink, David R. Shanks:
Predict choice: A comparison of 21 mathematical models. CogSci 2014
2000 – 2009
- 2007
- [j1]Gary G. Brassington, Tim Pugh, Claire Spillman, Eric Schulz, Helen Beggs, Andreas Schiller, Peter R. Oke:
BLUElink> Development of Operational Oceanography and Servicing in Australia. J. Res. Pract. Inf. Technol. 39(2): 151-164 (2007)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 21:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
