| A large-scale examination of inductive biases shaping high-level visual representation in brains and machines C Conwell, JS Prince, KN Kay, GA Alvarez, T Konkle Nature communications 15 (1), 9383, 2024 | 275* | 2024 |
| Testing relational understanding in text-guided image generation C Conwell, T Ullman arXiv preprint arXiv:2208.00005, 2022 | 89* | 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 | 40 | 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 | 39 | 2022 |
| Revealing vision-language integration in the brain with multimodal networks V Subramaniam, C Conwell, C Wang, G Kreiman, B Katz, I Cases, ... International Conference on Machine Learning (ICML) 41, 46868 - 46890, 2024 | 26 | 2024 |
| The perceptual primacy of feeling: Affectless visual machines explain a majority of variance in human visually evoked affect C Conwell, D Graham, C Boccagno, EA Vessel Proceedings of the National Academy of Sciences 122 (4), e2306025121, 2025 | 25* | 2025 |
| Modeling dynamic social vision highlights gaps between deep learning and humans K Garcia, E McMahon, C Conwell, M Bonner, L Isik The Thirteenth International Conference on Learning Representations, 2024 | 21 | 2024 |
| Monkey See, Model Knew: Large Language Models Accurately Predict Visual Brain Responses in Humans and Non-Human Primates C Conwell, E McMahon, A Jagadeesh, K Vinken, S Sharma, JS Prince, ... bioRxiv, 2025.03. 05.641284, 2025 | 19* | 2025 |
| 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 | 18 | 2021 |
| Universality of representation in biological and artificial neural networks E Hosseini, C Casto, N Zaslavsky, C Conwell, M Richardson, ... bioRxiv, 2024 | 17 | 2024 |
| 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 | 13 | 2023 |
| 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 | 12* | 2023 |
| A case for sparse positive alignment of neural systems JS Prince, C Conwell, GA Alvarez, T Konkle ICLR 2024 Workshop on Representational Alignment, 2024 | 10 | 2024 |
| 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 | 7* | 2019 |
| Relating Representational Geometry to Cortical Geometry in the Visual Cortex F Acosta, C Conwell, S Sanborn, D Klindt, N Miolane NeurIPS Workshop on Unifying Representations, 2023 | 6* | 2023 |
| Relations, negations, and numbers: Looking for logic in generative text-to-image models C Conwell, R Tawiah-Quashie, T Ullman arXiv preprint arXiv:2411.17066, 2024 | 5 | 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 | 5 | 2024 |
| Using multimodal deep neural networks to disentangle language from visual aesthetics C Conwell, C Hamblin, C Boccagno, D Mayo, J Cummings, L Isik, A Barbu arXiv preprint arXiv:2410.23603, 2024 | 3* | 2024 |
| Training the Untrainable: Introducing Inductive Bias via Representational Alignment V Subramaniam, D Mayo, C Conwell, T Poggio, B Katz, B Cheung, ... arXiv preprint arXiv:2410.20035, 2024 | 1 | 2024 |
| Network of Theseus (like the ship) V Subramaniam, C Conwell, B Katz, A Barbu, B Cheung arXiv preprint arXiv:2512.04198, 2025 | | 2025 |
George A. AlvarezProfessor of Psychology, Harvard UniversityVerified email at wjh.harvard.edu
