Bradley C. Love

74 papers A* 4A 1B 14Misc 1Journal 47Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confidence-weighted integration of human and machine judgments for superior decision-making.
Patterns
Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, Bradley C. Love
2026 J jnl
Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading.
CoRR
Mahindra Singh Rautela, Alexander Most, Siddharth Mansingh, Aleksandra Pachalieva, Bradley C. Love, Daniel O'Malley, Alexander Scheinker, Kyle Hickmann, Diane Oyen, Nathan DeBardeleben, Earl Lawrence, Ayan Biswas
2026 J jnl
PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion.
CoRR
Mahindra Singh Rautela, Alexander Scheinker, Bradley C. Love, Diane Oyen, Nathan DeBardeleben, Earl Lawrence, Ayan Biswas
2026 J jnl
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization.
IEEE Trans. Vis. Comput. Graph.
Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn M. Jones, Bradley C. Love, William M. Jones, Aric A. Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence
2025 J jnl
Getting aligned on representational alignment.
Trans. Mach. Learn. Res.
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025 J jnl
MORPH: Shape-agnostic PDE Foundation Models.
CoRR
Mahindra Singh Rautela, Alexander Most, Siddharth Mansingh, Bradley C. Love, Ayan Biswas, Diane Oyen, Earl Lawrence
2025 J jnl
Overview of leakage scenarios in supervised machine learning.
J. Big Data
Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart, Simon B. Eickhoff, Michael Götz, Sami Hamdan, Vera Komeyer, Abhijit Kulkarni, Juha Lahnakoski, Bradley C. Love, Federico Raimondo, Kaustubh R. Patil
2025 J jnl
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies.
CoRR
Xiaoliang Luo, Xinyi Xu, Michael Ramscar, Bradley C. Love
2025 J jnl
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization.
CoRR
Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn M. Jones, Bradley C. Love, William M. Jones, Aric A. Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence
2024 J jnl
Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text.
CoRR
Xiaoliang Luo, Michael Ramscar, Bradley C. Love
2024 J jnl
Confidence-weighted integration of human and machine judgments for superior decision-making.
CoRR
Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, Bradley C. Love
2024 J jnl
Large language models surpass human experts in predicting neuroscience results.
CoRR
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
2024 J jnl
Matching domain experts by training from scratch on domain knowledge.
CoRR
Xiaoliang Luo, Guangzhi Sun, Bradley C. Love
2024 J jnl
Representational Alignment Supports Effective Machine Teaching.
CoRR
Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore R. Sumers, Michalis Korakakis, Umang Bhatt, Mark K. Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary A. Pardos, Adrian Weller, Thomas L. Griffiths
2023 J jnl
A too-good-to-be-true prior to reduce shortcut reliance.
Pattern Recognit. Lett.
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
2023 A* conf
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2023 J jnl
Getting aligned on representational alignment.
CoRR
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2023 A conf
Human-in-the-Loop Mixup.
UAI
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
2023 J jnl
On Leakage in Machine Learning Pipelines.
CoRR
Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart, Simon B. Eickhoff, Michael Götz, Sami Hamdan, Vera Komeyer, Abhijit Kulkarni, Juha Lahnakoski, Bradley C. Love, Federico Raimondo, Kaustubh R. Patil
2022 J jnl
Abstract Neural Representations of Category Membership beyond Information Coding Stimulus or Response.
J. Cogn. Neurosci.
Robert M. Mok, Bradley C. Love
2022 J jnl
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage.
CoRR
Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil
2022 J jnl
Web-based Elicitation of Human Perception on mixup Data.
CoRR
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller
2021 J jnl
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance.
CoRR
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
2021 A* conf
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings.
CVPR
Brett D. Roads, Bradley C. Love
2021 J jnl
Exploring Alignment of Representations with Human Perception.
CoRR
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2021 J jnl
Understanding top-down attention using task-oriented ablation design.
CoRR
Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love
2020 J jnl
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings.
CoRR
Brett D. Roads, Bradley C. Love
2020 J jnl
Learning as the unsupervised alignment of conceptual systems.
Nat. Mach. Intell.
Brett D. Roads, Bradley C. Love
2020 J jnl
Robust priors for regularized regression.
CoRR
Sebastian Bobadilla-Suarez, Matt Jones, Bradley C. Love
2020 J jnl
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks.
CoRR
Xiaoliang Luo, Brett D. Roads, Bradley C. Love
2020 J jnl
The perceptual boost of visual attention is task-dependent in naturalistic settings.
CoRR
Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love
2019 J jnl
Gerrymandering and computational redistricting.
J. Comput. Soc. Sci.
Olivia Guest, Frank J. Kanayet, Bradley C. Love
2019 J jnl
Learning as the Unsupervised Alignment of Conceptual Systems.
CoRR
Brett D. Roads, Bradley C. Love
2018 J jnl
Conceptual Organization is Revealed by Consumer Activity Patterns.
CoRR
Adam N. Hornsby, Thomas Evans, Peter S. Riefer, Rosie Prior, Bradley C. Love
2018 J jnl
Estimating the functional dimensionality of neural representations.
NeuroImage
Christiane Ahlheim, Bradley C. Love
2017 J jnl
Anterior Temporal Lobe Tracks the Formation of Prejudice.
J. Cogn. Neurosci.
Hugo J. Spiers, Bradley C. Love, Mike E. Le Pelley, Charlotte E. Gibb, Robin A. Murphy
2017 B conf
Deep Networks as Models of Human and Animal Categorization.
CogSci
Bradley C. Love, Olivia Guest, Piotr Slomka, Victor Navarro, Edward Wasserman
2017 J jnl
Gerrymandering and Computational Redistricting.
CoRR
Olivia Guest, Frank J. Kanayet, Bradley C. Love
2017 — conf
Medial prefrontal cortex compresses concept representations through learning.
PRNI
Michael L. Mack, Alison R. Preston, Bradley C. Love
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
Generative and Discriminative Models in Cognitive Science.
CogSci
Bradley C. Love, Michael Ramscar, Thomas L. Griffiths, Matt Jones
2015 J jnl
The Algorithmic Level Is the Bridge Between Computation and Brain.
Top. Cogn. Sci.
Bradley C. Love
2015 J jnl
Unfazed by Both the Bull and Bear: Strategic Exploration in Dynamic Environments.
Games
Peter S. Riefer, Bradley C. Love
2014 J jnl
"You may have a cancer-causing virus and not even know it" Fear appeals in online news.
First Monday
Bradley C. Love, Michael Mackert
2014 B conf
Choice exploration and exploitation in purchase decisions: a longitudinal study of customers' exploration and exploitation of supermarket products.
CogSci
Peter S. Riefer, Bradley C. Love
2014 B conf
Heuristics as a special case of Bayesian Inference.
CogSci
Paula Parpart, Matt Jones, Bradley C. Love
2014 B conf
Moot Point Process Models.
CogSci
Bradley C. Love, Jana Jarecki, Jerome R. Busemeyer, Niels A. Taatgen, Thomas L. Griffiths, Mirjam Jenny
2014 — conf
Optimal Teaching for Limited-Capacity Human Learners.
NIPS
Kaustubh R. Patil, Xiaojin Zhu, Lukasz Kopec, Bradley C. Love
2013 B conf
Are forgetting processes crucial to category learning?
CogSci
Lukasz Kopec, Bradley C. Love
2013 B conf
Experiments in dynamic group action and decision making: How crowds of people can walk a tightrope together and survive a zombie attack.
CogSci
Daniel C. Richardson, Peter S. Riefer, Bradley C. Love, Beau Lotto, Richard C. Clarke, Rick Dale, John Rogers, James Ireland
2013 B conf
When is it rational to rely on heuristics?
CogSci
Paula Parpart, Matt Jones, Bradley C. Love
2012 J jnl
Exploring Psychosocial Support Online: A Content Analysis of Messages in an Adolescent and Young Adult Cancer Community.
Cyberpsychology Behav. Soc. Netw.
Bradley C. Love, Brittani Crook, Charee M. Thompson, Sarah Zaitchik, Jessica Knapp, Leah LeFebvre, Barbara Jones, Erin Donovan-Kicken, Emily Eargle, Ruth Rechis
2012 J jnl
How Humans Teach Agents - A New Experimental Perspective.
Int. J. Soc. Robotics
W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, Peter Stone
2012 B conf
Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science.
CogSci
Chris Eliasmith, Thomas L. Griffiths, Valerie Gray Hardcastle, Bradley C. Love, William Bechtel, Richard P. Cooper, David Peebles
2011 B conf
Becoming a Gamer: Cognitive Effects of Real-Time Strategy Gaming.
CogSci
Brian D. Glass, Marc T. Tomlinson, W. Todd Maddox, Bradley C. Love
2011 B conf
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma.
CogSci
A. Ross Otto, W. Bradley Knox, Bradley C. Love, Samuel Gershman, Yael Niv, Darrell A. Worthy, W. Todd Maddox, Jared M. Hotaling, Jerome R. Busemeyer, Richard M. Shiffrin
2011 B conf
Determinants of learning difficulty and boundary uncertainty in unidimensional category learning.
CogSci
Gyslain Giguère, Bradley C. Love
2011 B conf
Moving Beyond Where and What to How: Using Models and fMRI to Understand Brain-Behavior Relations.
CogSci
Bradley C. Love, John P. Spencer, Nathaniel D. Daw, John P. O'Doherty
2011 J jnl
Structural Priming as Structure-Mapping: Children Use Analogies From Previous Utterances to Guide Sentence Production.
Cogn. Sci.
Micah B. Goldwater, Marc T. Tomlinson, Catharine H. Echols, Bradley C. Love
2010 J jnl
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior.
Cogn. Sci.
Todd M. Gureckis, Bradley C. Love
2009 A* conf
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool.
CHI
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Michael Howe
2009 J jnl
Patient education on mobile devices: an e-health intervention for low health literate audiences.
J. Inf. Sci.
Michael Mackert, Bradley C. Love, Pamela Whitten
2009 — conf
Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion.
HCI (16)
Marc T. Tomlinson, Michael Howe, Bradley C. Love
2006 A* conf
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples.
AAAI
Marc T. Tomlinson, Bradley C. Love
2004 — conf
Dimension-Wide vs. Exemplar-Specific Attention in Category Learning and Recognition.
ICCM
Yasuaki Sakamoto, Toshihiko Matsuka, Bradley C. Love
2003 J jnl
CAB: Connectionist Analogy Builder.
Cogn. Sci.
Levi B. Larkey, Bradley C. Love
2003 J jnl
Human Unsupervised and Supervised Learning as a Quantitative Distinction.
Int. J. Pattern Recognit. Artif. Intell.
Todd M. Gureckis, Bradley C. Love
2003 J jnl
Towards a unified account of supervised and unsupervised category learning.
J. Exp. Theor. Artif. Intell.
Todd M. Gureckis, Bradley C. Love
2002 Misc conf
Modeling Unsupervised Learning with SUSTAIN.
FLAIRS
Todd M. Gureckis, Bradley C. Love
2002 J jnl
Similarity and Categorization: A Review.
AI Mag.
Bradley C. Love
2000 — conf
Modeling Classification and Inference Learning.
AAAI/IAAI
Bradley C. Love, Arthur B. Markman, Takashi Yamauchi
1998 J jnl
Feature Centrality and Conceptual Coherence.
Cogn. Sci.
Steven A. Sloman, Bradley C. Love, Woo-kyoung Ahn
1998 — conf
SUSTAIN: A Model of Human Category Learning.
AAAI/IAAI
Bradley C. Love, Douglas L. Medin
1998 — conf
Utilizing lime: Asynchronous Binding.
NIPS
Bradley C. Love