| What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines? C Conwell, JS Prince, KN Kay, GA Alvarez, T Konkle bioRxiv, 2023 | 76* | 2023 |
| Testing relational understanding in text-guided image generation C Conwell, T Ullman arXiv preprint arXiv:2208.00005, 2022 | 55 | 2022 |
| Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex C Conwell, D Mayo, B Katz, MA Buice, GA Alvarez, A Barbu Advances in Neural Information Processing Systems 34, 2021 | 27* | 2021 |
| Intertemporal choice reflects value comparison rather than self-control: insights from confidence judgements A Bulley, KM Lempert, C Conwell, M Irish, DL Schacter Philosophical Transactions of the Royal Society B 377 (1866), 20210338, 2022 | 22 | 2022 |
| On the use of cortical magnification and saccades as biological proxies for data augmentation B Wang, D Mayo, A Deza, A Barbu, C Conwell arXiv preprint arXiv:2112.07173, 2021 | 10 | 2021 |
| The Perceptual Primacy of Feeling: Affectless machine vision models robustly predict human visual arousal, valence, and aesthetics C Conwell, D Graham, EA Vessel PsyArXiv, 2021 | 6 | 2021 |
| Controlled assessment of CLIP-style language-aligned vision models in prediction of brain & behavioral data C Conwell, JS Prince, CJ Hamblin, GA Alvarez ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023 | 4 | 2023 |
| Human-Like Judgments of Stability Emerge from Purely Perceptual Features: Evidence from Supervised and Unsupervised Deep Neural Networks C Conwell, F Doshi, G Alvarez 2019 Conference on Cognitive Computational Neuroscience, 605-608, 2019 | 3* | 2019 |
| The Unreasonable Effectiveness of Word Models in Predicting High-Level Visual Cortex Responses to Natural Images C Conwell, JS Prince, GA Alvarez, T Konkle Conference on Computational Cognitive Neuroscience 2023, 2023 | 2* | 2023 |
| Towards Disentangling the Roles of Vision & Language in Aesthetic Experience with Multimodal DNNs C Conwell, CJ Hamblin SVRHM 2022 Workshop@ NeurIPS, 0 | 2* | |
| Revealing Vision-Language Integration in the Brain with Multimodal Networks V Subramaniam, C Conwell, C Wang, G Kreiman, B Katz, I Cases, ... arXiv preprint arXiv:2406.14481, 2024 | 1 | 2024 |
| A sparse null code emerges in deep neural networks BS Robinson, N Drenkow, C Conwell, M Bonner Proceedings of UniReps: the First Workshop on Unifying Representations in …, 2024 | 1 | 2024 |
| Evaluation of Representational Similarity Scores Across Human Visual Cortex F Acosta, C Conwell, S Sanborn, DA Klindt, N Miolane UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | 1 | 2023 |
| Is visual cortex really “language-aligned”? Perspectives from Model-to-Brain Comparisons in Human and Monkeys on the Natural Scenes Dataset C Conwell, E MacMahon, K Vinken, S Sharma, A Jagadeesh, JS Prince, ... Conference on Computational Cognitive Neuroscience 2024, 2024 | | 2024 |
| Modeling dynamic social vision highlights gaps between deep learning and humans K Garcia, E McMahon, C Conwell, MF Bonner, L Isik OSF, 2024 | | 2024 |
| A case for sparse positive alignment of neural systems JS Prince, C Conwell, GA Alvarez, T Konkle ICLR 2024 Workshop on Representational Alignment, 2024 | | 2024 |
| Uninstructed Structure: Self-Supervised Deep Learning as a Steppingstone to Object Invariance, Intuitive Physics, and the Experience of Beauty C Conwell Harvard University, 2022 | | 2022 |
| Unsupervised Representation Learning Facilitates Human-like Spatial Reasoning K Lakshminarasimhan, C Conwell SVRHM 2021 Workshop@ NeurIPS, 2021 | | 2021 |
| Exploring untrained neural network architectures for modeling higher visual cortex representations Y Mehta, A Kazemian, C Conwell, MF Bonner | | |
| High-dimensional alignment of neural networks and visual cortex T Shen, C Conwell, MF Bonner | | |
George A. AlvarezProfessor of Psychology, Harvard University在 wjh.harvard.edu 的电子邮件经过验证
