Bradley C. Love

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 28

Top Topics

Human Perception

Bayesian Inference

Generative And Discriminative Models

Top Venues

J. Cogn. Neurosci.

Top. Cogn. Sci.

Publications

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
Representational Alignment Supports Effective Machine Teaching. CoRR (2024)
Xiaoliang Luo, Guangzhi Sun, Bradley C. Love
Matching domain experts by training from scratch on domain knowledge. CoRR (2024)
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
Large language models surpass human experts in predicting neuroscience results. CoRR (2024)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
Human-in-the-Loop Mixup. UAI (2023)
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI (2023)
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
On Leakage in Machine Learning Pipelines. CoRR (2023)
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
Getting aligned on representational alignment. CoRR (2023)
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
A too-good-to-be-true prior to reduce shortcut reliance. Pattern Recognit. Lett. 166 (2023)
Robert M. Mok, Bradley C. Love
Abstract Neural Representations of Category Membership beyond Information Coding Stimulus or Response. J. Cogn. Neurosci. 34 (10) (2022)
Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage. CoRR (2022)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller
Web-based Elicitation of Human Perception on mixup Data. CoRR (2022)
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
Exploring Alignment of Representations with Human Perception. CoRR (2021)
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance. CoRR (2021)
Brett D. Roads, Bradley C. Love
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings. CVPR (2021)
Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love
Understanding top-down attention using task-oriented ablation design. CoRR (2021)
Xiaoliang Luo, Brett D. Roads, Bradley C. Love
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks. CoRR (2020)
Brett D. Roads, Bradley C. Love
Learning as the unsupervised alignment of conceptual systems. Nat. Mach. Intell. 2 (1) (2020)
Sebastian Bobadilla-Suarez, Matt Jones, Bradley C. Love
Robust priors for regularized regression. CoRR (2020)
Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love
The perceptual boost of visual attention is task-dependent in naturalistic settings. CoRR (2020)
Brett D. Roads, Bradley C. Love
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings. CoRR (2020)
Olivia Guest, Frank J. Kanayet, Bradley C. Love
Gerrymandering and computational redistricting. J. Comput. Soc. Sci. 2 (2) (2019)
Brett D. Roads, Bradley C. Love
Learning as the Unsupervised Alignment of Conceptual Systems. CoRR (2019)
Adam N. Hornsby, Thomas Evans, Peter S. Riefer, Rosie Prior, Bradley C. Love
Conceptual Organization is Revealed by Consumer Activity Patterns. CoRR (2018)
Christiane Ahlheim, Bradley C. Love
Estimating the functional dimensionality of neural representations. NeuroImage 179 (2018)
Bradley C. Love, Olivia Guest, Piotr Slomka, Victor Navarro, Edward Wasserman
Deep Networks as Models of Human and Animal Categorization. CogSci (2017)
Hugo J. Spiers, Bradley C. Love, Mike E. Le Pelley, Charlotte E. Gibb, Robin A. Murphy
Anterior Temporal Lobe Tracks the Formation of Prejudice. J. Cogn. Neurosci. 29 (3) (2017)
Olivia Guest, Frank J. Kanayet, Bradley C. Love
Gerrymandering and Computational Redistricting. CoRR (2017)
Michael L. Mack, Alison R. Preston, Bradley C. Love
Medial prefrontal cortex compresses concept representations through learning. PRNI (2017)
Bradley C. Love
The Algorithmic Level Is the Bridge Between Computation and Brain. Top. Cogn. Sci. 7 (2) (2015)
Peter S. Riefer, Bradley C. Love
Unfazed by Both the Bull and Bear: Strategic Exploration in Dynamic Environments. Games 6 (3) (2015)
Paula Parpart, Eric Schulz, Maarten Speekenbrink, Bradley C. Love
Active learning as a means to distinguish among prominent decision strategies. CogSci (2015)
Bradley C. Love, Michael Ramscar, Thomas L. Griffiths, Matt Jones
Generative and Discriminative Models in Cognitive Science. CogSci (2015)
Peter S. Riefer, Bradley C. Love
Choice exploration and exploitation in purchase decisions: a longitudinal study of customers' exploration and exploitation of supermarket products. CogSci (2014)
Paula Parpart, Matt Jones, Bradley C. Love
Heuristics as a special case of Bayesian Inference. CogSci (2014)
Bradley C. Love, Michael Mackert
"You may have a cancer-causing virus and not even know it" Fear appeals in online news. First Monday 19 (2) (2014)
Bradley C. Love, Jana Jarecki, Jerome R. Busemeyer, Niels A. Taatgen, Thomas L. Griffiths, Mirjam Jenny
Moot Point Process Models. CogSci (2014)
Kaustubh R. Patil, Xiaojin Zhu, Lukasz Kopec, Bradley C. Love
Optimal Teaching for Limited-Capacity Human Learners. NIPS (2014)
Lukasz Kopec, Bradley C. Love
Are forgetting processes crucial to category learning? CogSci (2013)
Paula Parpart, Matt Jones, Bradley C. Love
When is it rational to rely on heuristics? CogSci (2013)
Daniel C. Richardson, Peter S. Riefer, Bradley C. Love, Beau Lotto, Richard C. Clarke, Rick Dale, John Rogers, James Ireland
Experiments in dynamic group action and decision making: How crowds of people can walk a tightrope together and survive a zombie attack. CogSci (2013)
W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, Peter Stone
How Humans Teach Agents - A New Experimental Perspective. Int. J. Soc. Robotics 4 (4) (2012)
Chris Eliasmith, Thomas L. Griffiths, Valerie Gray Hardcastle, Bradley C. Love, William Bechtel, Richard P. Cooper, David Peebles
Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science. CogSci (2012)
Bradley C. Love, Brittani Crook, Charee M. Thompson, Sarah Zaitchik, Jessica Knapp, Leah LeFebvre, Barbara Jones, Erin Donovan-Kicken, Emily Eargle, Ruth Rechis
Exploring Psychosocial Support Online: A Content Analysis of Messages in an Adolescent and Young Adult Cancer Community. Cyberpsychology Behav. Soc. Netw. 15 (10) (2012)
Brian D. Glass, Marc T. Tomlinson, W. Todd Maddox, Bradley C. Love
Becoming a Gamer: Cognitive Effects of Real-Time Strategy Gaming. CogSci (2011)
Micah B. Goldwater, Marc T. Tomlinson, Catharine H. Echols, Bradley C. Love
Structural Priming as Structure-Mapping: Children Use Analogies From Previous Utterances to Guide Sentence Production. Cogn. Sci. 35 (1) (2011)
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
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. CogSci (2011)
Bradley C. Love, John P. Spencer, Nathaniel D. Daw, John P. O'Doherty
Moving Beyond Where and What to How: Using Models and fMRI to Understand Brain-Behavior Relations. CogSci (2011)
Gyslain Giguère, Bradley C. Love
Determinants of learning difficulty and boundary uncertainty in unidimensional category learning. CogSci (2011)
Todd M. Gureckis, Bradley C. Love
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cogn. Sci. 34 (1) (2010)
Michael Mackert, Bradley C. Love, Pamela Whitten
Patient education on mobile devices: an e-health intervention for low health literate audiences. J. Inf. Sci. 35 (1) (2009)
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Michael Howe
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool. CHI (2009)
Marc T. Tomlinson, Michael Howe, Bradley C. Love
Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion. HCI (16) (2009)
Marc T. Tomlinson, Bradley C. Love
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples. AAAI (2006)
Yasuaki Sakamoto, Toshihiko Matsuka, Bradley C. Love
Dimension-Wide vs. Exemplar-Specific Attention in Category Learning and Recognition. ICCM (2004)
Todd M. Gureckis, Bradley C. Love
Human Unsupervised and Supervised Learning as a Quantitative Distinction. Int. J. Pattern Recognit. Artif. Intell. 17 (5) (2003)
Levi B. Larkey, Bradley C. Love
CAB: Connectionist Analogy Builder. Cogn. Sci. 27 (5) (2003)
Todd M. Gureckis, Bradley C. Love
Towards a unified account of supervised and unsupervised category learning. J. Exp. Theor. Artif. Intell. 15 (1) (2003)
Bradley C. Love
Similarity and Categorization: A Review. AI Mag. 23 (2) (2002)
Todd M. Gureckis, Bradley C. Love
Modeling Unsupervised Learning with SUSTAIN. FLAIRS Conference (2002)
Bradley C. Love, Arthur B. Markman, Takashi Yamauchi
Modeling Classification and Inference Learning. AAAI/IAAI (2000)
Bradley C. Love, Douglas L. Medin
SUSTAIN: A Model of Human Category Learning. AAAI/IAAI (1998)
Bradley C. Love
Utilizing lime: Asynchronous Binding. NIPS (1998)
Steven A. Sloman, Bradley C. Love, Woo-Kyoung Ahn
Feature Centrality and Conceptual Coherence. Cogn. Sci. 22 (2) (1998)