Charley M. Wu - RankMe

48 papers A* 1B 31Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are LLMs Biased Like Humans? Causal Reasoning as a Function of Prior Knowledge, Irrelevant Information, and Reasoning Budget. CoRR Hanna M. Dettki, Charley M. Wu, Bob Rehder
2025	B	`conf`	A Computational Account of Epistemic Vigilance: Learning from Selective Truths through Bayesian Reasoning. CogSci Ke Fang, Robert D. Hawkins, Charley M. Wu, Michael Franke
2025	J	`jnl`	Agent-centric learning: from external reward maximization to internal knowledge curation. CoRR Hanqi Zhou, Fryderyk Mantiuk, David G. Nagy, Charley M. Wu
2025	J	`jnl`	Analogy making as amortised model construction. CoRR David G. Nagy, Tingke Shen, Hanqi Zhou, Charley M. Wu, Peter Dayan
2025	B	`conf`	Do Large Language Models Reason Causally Like Us? Even Better? CogSci Hanna M. Dettki, Brenden M. Lake, Charley M. Wu, Bob Rehder
2025	J	`jnl`	Do Large Language Models Reason Causally Like Us? Even Better? CoRR Hanna M. Dettki, Brenden M. Lake, Charley M. Wu, Bob Rehder
2025	B	`conf`	Flexibly biased learning rates in social learning. CogSci Alexandra Witt, Stefano Palminteri, Charley M. Wu
2025	B	`conf`	From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration. CogSci Fryderyk Mantiuk, Hanqi Zhou, Charley M. Wu
2025	J	`jnl`	From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration. CoRR Fryderyk Mantiuk, Hanqi Zhou, Charley M. Wu
2025	B	`conf`	Learning to remember and remembering to learn: memory distortions as semantic compression of episodes. CogSci David G. Nagy, Gergo Orbán, Charley M. Wu
2025	J	`jnl`	Reframing attention as a reinforcement learning problem for causal discovery. CoRR Turan Orujlu, Christian Gumbsch, Martin V. Butz, Charley M. Wu
2025	B	`conf`	Striking the Right Chord Between Reuse and Improvisation: Melody Learning as Resource-Rational Program Induction. CogSci Hanqi Zhou, David G. Nagy, Peter Dayan, Charley M. Wu
2025	B	`conf`	The Forest for the Trees: Global vs. Local Advice in Human-AI Interaction. CogSci Orsolya Szocs, Hanqi Zhou, Charley M. Wu
2024	B	`conf`	Emergent social transmission of model-based representations without inference. CogSci Miriam Bautista, Ryutaro Uchiyama, Claudio Tennie, Charley M. Wu
2024	B	`conf`	Harmonizing Program Induction with Rate-Distortion Theory. CogSci Hanqi Zhou, David G. Nagy, Charley M. Wu
2024	J	`jnl`	Harmonizing Program Induction with Rate-Distortion Theory. CoRR Hanqi Zhou, David G. Nagy, Charley M. Wu
2024	J	`jnl`	Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. CoRR Mani Hamidi, Sina Khajehabdollahi, Emmanouil Giannakakis, Tim Jakob Schäfer, Anna Levina, Charley M. Wu
2024	A*	`conf`	Predictive, scalable and interpretable knowledge tracing on structured domains. ICLR Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero
2024	J	`jnl`	Predictive, scalable and interpretable knowledge tracing on structured domains. CoRR Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero
2024	B	`conf`	Shock to Thrill: Linking Sensation and Information Seeking. CogSci Ern Wong, Tobias Hauser, Pietro Pietrini, Charley M. Wu
2024	B	`conf`	Social learning functions as an exploration tool in correlated environments. CogSci Alexandra Witt, Wataru Toyokawa, Kevin N. Lala, Wolfgang Gaissmaier, Charley M. Wu
2023	B	`conf`	Compositionality under time pressure. CogSci Valerio Rubino, Mani Hamidi, Peter Dayan, Charley M. Wu
2023	J	`jnl`	Constructing and deconstructing bias: modeling privilege and mentorship in agent-based simulations. CoRR Andria L. Smith, Simon Heuschkel, Ksenia Keplinger, Charley M. Wu
2023	B	`conf`	Environment-sensitive generalization and exploration strategies. CogSci Fien Ruth Goetmaeckers, Charley M. Wu, Tom Verguts, Senne Braem
2023	B	`conf`	Social learning with a grain of salt. CogSci Alexandra Witt, Wataru Toyokawa, Kevin N. Lala, Wolfgang Gaissmaier, Charley M. Wu
2023	B	`conf`	Unlearning the bias: An agent-based simulation for increasing diverse representation through leadership emergence. CogSci Andria L. Smith, Simon Heuschkel, Ksenia Keplinger, Charley M. Wu
2022	B	`conf`	Connecting Exploration, Generalization, and Planning in Correlated Trees. CogSci Tobias Ludwig, Charley M. Wu, Eric Schulz
2022	B	`conf`	Fun as maximizing learnability: Balancing difficulty and prior knowledge. CogSci Franziska Brändle, Charley M. Wu, Eric Schulz
2021	B	`conf`	How does mental sorting scale? CogSci Susanne Haridi, Charley M. Wu, Ishita Dasgupta, Eric Schulz
2021	J	`jnl`	Integration and segregation across large-scale intrinsic brain networks as a marker of sustained attention and task-unrelated thought. NeuroImage Agnieszka Zuberer, Aaron Kucyi, Ayumu Yamashita, Charley M. Wu, Martin Walter, Eve M. Valera, Michael Esterman
2021	B	`conf`	Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	J	`jnl`	Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	B	`conf`	Specialization and selective social attention establishes the balance between individual and social learning. CogSci Charley M. Wu, Mark K. Ho, Benjamin Kahl, Christina Leuker, Björn Meder, Ralf H. J. M. Kurvers
2020	B	`conf`	Cognition, Collectives, and Human Culture. CogSci Charley M. Wu, Natalia Vélez, Mark K. Ho, Robert L. Goldstone
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`	Perseverance in risky goal-pursuit. CogSci Wojciech Zajkowski, Charley M. Wu, Pantelis P. Analytis
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
2019	B	`conf`	Generalization as diffusion: human function learning on graphs. CogSci Charley M. Wu, Eric Schulz, Samuel Gershman
2019	J	`jnl`	Make-or-Break: Chasing Risky Goals or Settling for Safe Rewards? Cogn. Sci. Pantelis P. Analytis, Charley M. Wu, Alexandros Gelastopoulos
2019	B	`conf`	The Evolutionary Dynamics of Cooperation in Collective Search. CogSci Alan Novaes Tump, Charley M. Wu, Imen Bouhlel, Robert L. Goldstone
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`	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`	Navigating uncertainty through information search. CogSci Charley M. Wu, Björn Meder, Jonathan D. Nelson
2018	B	`conf`	Sharing is not erring: Pseudo-reciprocity in collective search. CogSci Imen Bouhlel, Charley M. Wu, Nobuyuki Hanaki, Robert L. Goldstone
2017	B	`conf`	Make-or-break: chasing risky goals or settling for safe rewards? CogSci Pantelis Pipergias Analytis, Charley M. Wu, Alexandros Gelastopoulos
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
2016	B	`conf`	Collective search on rugged landscapes: A cross-environmental analysis. CogSci Daniel Barkoczi, Pantelis Pipergias Analytis, Charley M. Wu