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ORCIDCharley M. Wu
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2020 – today
- 2025
[c28]Hanna M. Dettki, Brenden M. Lake, Charley M. Wu, Bob Rehder:
Do Large Language Models Reason Causally Like Us? Even Better? CogSci 2025- [c27]Ke Fang, Robert D. Hawkins, Charley M. Wu, Michael Franke:
A Computational Account of Epistemic Vigilance: Learning from Selective Truths through Bayesian Reasoning. CogSci 2025 - [c26]Fryderyk Mantiuk, Hanqi Zhou, Charley M. Wu:
From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration. CogSci 2025 - [c25]David G. Nagy, Gergo Orbán, Charley M. Wu:
Learning to remember and remembering to learn: memory distortions as semantic compression of episodes. CogSci 2025 - [c24]Orsolya Szocs, Hanqi Zhou, Charley M. Wu:
The Forest for the Trees: Global vs. Local Advice in Human-AI Interaction. CogSci 2025 - [c23]Alexandra Witt, Stefano Palminteri, Charley M. Wu:
Flexibly biased learning rates in social learning. CogSci 2025 - [c22]Hanqi Zhou, David G. Nagy, Peter Dayan, Charley M. Wu:
Striking the Right Chord Between Reuse and Improvisation: Melody Learning as Resource-Rational Program Induction. CogSci 2025 - [i10]Hanna M. Dettki, Brenden M. Lake, Charley M. Wu, Bob Rehder:
Do Large Language Models Reason Causally Like Us? Even Better? CoRR abs/2502.10215 (2025) - [i9]Fryderyk Mantiuk, Hanqi Zhou, Charley M. Wu:
From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration. CoRR abs/2507.08210 (2025) - [i8]Turan Orujlu, Christian Gumbsch, Martin V. Butz, Charley M. Wu:
Reframing attention as a reinforcement learning problem for causal discovery. CoRR abs/2507.13920 (2025) - [i7]David G. Nagy, Tingke Shen, Hanqi Zhou, Charley M. Wu, Peter Dayan:
Analogy making as amortised model construction. CoRR abs/2507.16511 (2025) - [i6]Hanqi Zhou, Fryderyk Mantiuk, David G. Nagy, Charley M. Wu:
Agent-centric learning: from external reward maximization to internal knowledge curation. CoRR abs/2507.22255 (2025) - 2024
- [c21]Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero:
Predictive, scalable and interpretable knowledge tracing on structured domains. ICLR 2024 - [i5]Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero:
Predictive, scalable and interpretable knowledge tracing on structured domains. CoRR abs/2403.13179 (2024) - [i4]Hanqi Zhou, David G. Nagy, Charley M. Wu:
Harmonizing Program Induction with Rate-Distortion Theory. CoRR abs/2405.05294 (2024) - [i3]Mani Hamidi, Sina Khajehabdollahi, Emmanouil Giannakakis, Tim Jakob Schäfer, Anna Levina, Charley M. Wu:
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. CoRR abs/2406.06262 (2024) - 2023
- [c20]Fien Ruth Goetmaeckers, Charley M. Wu, Tom Verguts, Senne Braem:
Environment-sensitive generalization and exploration strategies. CogSci 2023 - [c19]Valerio Rubino, Mani Hamidi, Peter Dayan, Charley M. Wu:
Compositionality under time pressure. CogSci 2023 - [c18]Andria L. Smith, Simon Heuschkel, Ksenia Keplinger, Charley M. Wu:
Unlearning the bias: An agent-based simulation for increasing diverse representation through leadership emergence. CogSci 2023 - [c17]Alexandra Witt, Wataru Toyokawa, Kevin N. Lala, Wolfgang Gaissmaier, Charley M. Wu:
Social learning with a grain of salt. CogSci 2023 - [i2]Andria L. Smith, Simon Heuschkel, Ksenia Keplinger, Charley M. Wu
:
Constructing and deconstructing bias: modeling privilege and mentorship in agent-based simulations. CoRR abs/2304.02351 (2023) - 2022
- [c16]Tobias Ludwig, Charley M. Wu, Eric Schulz:
Connecting Exploration, Generalization, and Planning in Correlated Trees. CogSci 2022 - [c15]Franziska Brändle, Charley M. Wu, Eric Schulz:
Fun as maximizing learnability: Balancing difficulty and prior knowledge. CogSci 2022 - 2021
- [j5]Agnieszka Zuberer, Aaron Kucyi, Ayumu Yamashita, Charley M. Wu, Martin Walter, Eve M. Valera, Michael Esterman:
Integration and segregation across large-scale intrinsic brain networks as a marker of sustained attention and task-unrelated thought. NeuroImage 229: 117610 (2021) - [c14]Susanne Haridi, Charley M. Wu, Ishita Dasgupta, Eric Schulz:
How does mental sorting scale? CogSci 2021 - [c13]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci 2021 - [c12]Charley M. Wu, Mark K. Ho, Benjamin Kahl, Christina Leuker, Björn Meder, Ralf H. J. M. Kurvers:
Specialization and selective social attention establishes the balance between individual and social learning. CogSci 2021 - [i1]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR abs/2105.05894 (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) - [c11]Charley M. Wu, Natalia Vélez, Mark K. Ho, Robert L. Goldstone:
Cognition, Collectives, and Human Culture. CogSci 2020 - [c10]Wojciech Zajkowski, Charley M. Wu, Pantelis P. Analytis:
Perseverance in risky goal-pursuit. CogSci 2020
2010 – 2019
- 2019
- [j2]Pantelis P. Analytis, Charley M. Wu, Alexandros Gelastopoulos:
Make-or-Break: Chasing Risky Goals or Settling for Safe Rewards? Cogn. Sci. 43(7) (2019) - [c9]Alan Novaes Tump, Charley M. Wu, Imen Bouhlel, Robert L. Goldstone:
The Evolutionary Dynamics of Cooperation in Collective Search. CogSci 2019: 883-889 - [c8]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 - [c7]Charley M. Wu, Eric Schulz, Samuel Gershman:
Generalization as diffusion: human function learning on graphs. CogSci 2019: 3122-3128 - 2018
- [j1]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) - [c6]Imen Bouhlel, Charley M. Wu, Nobuyuki Hanaki, Robert L. Goldstone:
Sharing is not erring: Pseudo-reciprocity in collective search. CogSci 2018 - [c5]Charley M. Wu, Björn Meder, Jonathan D. Nelson:
Navigating uncertainty through information search. CogSci 2018 - [c4]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
- [c3]Pantelis Pipergias Analytis, Charley M. Wu, Alexandros Gelastopoulos:
Make-or-break: chasing risky goals or settling for safe rewards? CogSci 2017 - [c2]Charley M. Wu, Eric Schulz, Maarten Speekenbrink, Jonathan D. Nelson, Björn Meder:
Mapping the unknown: The spatially correlated multi-armed bandit. CogSci 2017 - 2016
- [c1]Daniel Barkoczi, Pantelis Pipergias Analytis, Charley M. Wu:
Collective search on rugged landscapes: A cross-environmental analysis. CogSci 2016
Coauthor Index
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