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ORCIDBradley C. Love
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- affiliation: University College London, Department of Experimental Psychology, UK
- affiliation: University of Texas at Austin, Department of Psychology, TX, USA
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2020 – today
- 2024
[i15]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 abs/2403.03230 (2024)- 2023
- [j19]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: 164-171 (2023) - [c27]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: 9277-9285 - [c26]Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller:
Human-in-the-Loop Mixup. UAI 2023: 454-464 - [i14]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 abs/2310.13018 (2023) - [i13]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 abs/2311.04179 (2023) - 2022
- [j18]Robert M. Mok, Bradley C. Love:
Abstract Neural Representations of Category Membership beyond Information Coding Stimulus or Response. J. Cogn. Neurosci. 34(10): 1719-1735 (2022) - [i12]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 abs/2210.09232 (2022) - [i11]Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller:
Web-based Elicitation of Human Perception on mixup Data. CoRR abs/2211.01202 (2022) - 2021
- [c25]Brett D. Roads, Bradley C. Love:
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings. CVPR 2021: 3547-3557 - [i10]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 abs/2102.06406 (2021) - [i9]Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love:
Understanding top-down attention using task-oriented ablation design. CoRR abs/2106.11339 (2021) - [i8]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 abs/2111.14726 (2021) - 2020
- [j17]Brett D. Roads, Bradley C. Love:
Learning as the unsupervised alignment of conceptual systems. Nat. Mach. Intell. 2(1): 76-82 (2020) - [i7]Xiaoliang Luo, Brett D. Roads, Bradley C. Love:
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks. CoRR abs/2002.02342 (2020) - [i6]Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love:
The perceptual boost of visual attention is task-dependent in naturalistic settings. CoRR abs/2003.00882 (2020) - [i5]Sebastian Bobadilla-Suarez, Matt Jones, Bradley C. Love:
Robust priors for regularized regression. CoRR abs/2010.02610 (2020) - [i4]Brett D. Roads, Bradley C. Love:
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings. CoRR abs/2011.11015 (2020)
2010 – 2019
- 2019
- [j16]Olivia Guest, Frank J. Kanayet, Bradley C. Love:
Gerrymandering and computational redistricting. J. Comput. Soc. Sci. 2(2): 119-131 (2019) - [i3]Brett D. Roads, Bradley C. Love:
Learning as the Unsupervised Alignment of Conceptual Systems. CoRR abs/1906.09012 (2019) - 2018
- [j15]Christiane Ahlheim, Bradley C. Love:
Estimating the functional dimensionality of neural representations. NeuroImage 179: 51-62 (2018) - [i2]Adam N. Hornsby, Thomas Evans, Peter S. Riefer, Rosie Prior, Bradley C. Love:
Conceptual Organization is Revealed by Consumer Activity Patterns. CoRR abs/1810.08577 (2018) - 2017
- [j14]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): 530-544 (2017) - [c24]Bradley C. Love, Olivia Guest, Piotr Slomka, Victor Navarro, Edward Wasserman:
Deep Networks as Models of Human and Animal Categorization. CogSci 2017 - [c23]Michael L. Mack, Alison R. Preston, Bradley C. Love:
Medial prefrontal cortex compresses concept representations through learning. PRNI 2017: 1-4 - [i1]Olivia Guest, Frank J. Kanayet, Bradley C. Love:
Gerrymandering and Computational Redistricting. CoRR abs/1711.04640 (2017) - 2015
- [j13]Peter S. Riefer, Bradley C. Love:
Unfazed by Both the Bull and Bear: Strategic Exploration in Dynamic Environments. Games 6(3): 251-261 (2015) - [j12]Bradley C. Love:
The Algorithmic Level Is the Bridge Between Computation and Brain. Top. Cogn. Sci. 7(2): 230-242 (2015) - [c22]Bradley C. Love, Michael Ramscar, Thomas L. Griffiths, Matt Jones:
Generative and Discriminative Models in Cognitive Science. CogSci 2015 - [c21]Paula Parpart, Eric Schulz, Maarten Speekenbrink, Bradley C. Love:
Active learning as a means to distinguish among prominent decision strategies. CogSci 2015 - 2014
- [j11]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) - [c20]Bradley C. Love, Jana Jarecki, Jerome R. Busemeyer, Niels A. Taatgen, Thomas L. Griffiths, Mirjam Jenny:
Moot Point Process Models. CogSci 2014 - [c19]Paula Parpart, Matt Jones, Bradley C. Love:
Heuristics as a special case of Bayesian Inference. CogSci 2014 - [c18]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 - [c17]Kaustubh R. Patil, Xiaojin Zhu, Lukasz Kopec, Bradley C. Love:
Optimal Teaching for Limited-Capacity Human Learners. NIPS 2014: 2465-2473 - 2013
- [c16]Lukasz Kopec, Bradley C. Love:
Are forgetting processes crucial to category learning? CogSci 2013 - [c15]Paula Parpart, Matt Jones, Bradley C. Love:
When is it rational to rely on heuristics? CogSci 2013 - [c14]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 - 2012
- [j10]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): 555-559 (2012) - [j9]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): 409-421 (2012) - [c13]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 - 2011
- [j8]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): 156-170 (2011) - [c12]Gyslain Giguère, Bradley C. Love:
Determinants of learning difficulty and boundary uncertainty in unidimensional category learning. CogSci 2011 - [c11]Brian D. Glass, Marc T. Tomlinson, W. Todd Maddox, Bradley C. Love:
Becoming a Gamer: Cognitive Effects of Real-Time Strategy Gaming. CogSci 2011 - [c10]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 - [c9]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 - 2010
- [j7]Todd M. Gureckis, Bradley C. Love:
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cogn. Sci. 34(1): 10-50 (2010)
2000 – 2009
- 2009
- [j6]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): 82-93 (2009) - [c8]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: 1351-1360 - [c7]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: 668-677 - 2006
- [c6]Marc T. Tomlinson, Bradley C. Love:
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples. AAAI 2006: 199-204 - 2004
- [c5]Yasuaki Sakamoto, Toshihiko Matsuka, Bradley C. Love:
Dimension-Wide vs. Exemplar-Specific Attention in Category Learning and Recognition. ICCM 2004: 261-266 - 2003
- [j5]Levi B. Larkey, Bradley C. Love:
CAB: Connectionist Analogy Builder. Cogn. Sci. 27(5): 781-794 (2003) - [j4]Todd M. Gureckis, Bradley C. Love:
Human Unsupervised and Supervised Learning as a Quantitative Distinction. Int. J. Pattern Recognit. Artif. Intell. 17(5): 885-901 (2003) - [j3]Todd M. Gureckis, Bradley C. Love:
Towards a unified account of supervised and unsupervised category learning. J. Exp. Theor. Artif. Intell. 15(1): 1-24 (2003) - 2002
- [j2]Bradley C. Love:
Similarity and Categorization: A Review. AI Mag. 23(2): 103-105 (2002) - [c4]Todd M. Gureckis, Bradley C. Love:
Modeling Unsupervised Learning with SUSTAIN. FLAIRS 2002: 163-167 - 2000
- [c3]Bradley C. Love, Arthur B. Markman, Takashi Yamauchi:
Modeling Classification and Inference Learning. AAAI/IAAI 2000: 136-141
1990 – 1999
- 1998
- [j1]Steven A. Sloman, Bradley C. Love, Woo-Kyoung Ahn:
Feature Centrality and Conceptual Coherence. Cogn. Sci. 22(2): 189-228 (1998) - [c2]Bradley C. Love, Douglas L. Medin:
SUSTAIN: A Model of Human Category Learning. AAAI/IAAI 1998: 671-676 - [c1]Bradley C. Love:
Utilizing lime: Asynchronous Binding. NIPS 1998: 38-44
Coauthor Index
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last updated on 2024-04-18 20:34 CEST by the dblp team
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