| Separability and Geometry of Object Manifolds in Deep Neural Networks U Cohen*, SY Chung*, DD Lee, H Sompolinsky Nature Communications 11 (1), 746, 2020 | 191 | 2020 |
| Neural population geometry: An approach for understanding biological and artificial neural networks SY Chung, LF Abbott Current Opinion in Neurobiology 70, 137-144, 2021 | 180 | 2021 |
| Classification and Geometry of General Perceptual Manifolds SY Chung, DD Lee, H Sompolinsky Physical Review X 8 (3), 031003, 2018 | 153 | 2018 |
| On the geometry of generalization and memorization in deep neural networks C Stephenson, S Padhy, A Ganesh, Y Hui, H Tang, SY Chung ICLR, 2021 | 49 | 2021 |
| Linear readout of object manifolds SY Chung, DD Lee, H Sompolinsky Physical Review E 93 (6), 060301, 2016 | 41 | 2016 |
| Untangling in Invariant Speech Recognition C Stephenson, J Feather, S Padhy, O Elibol, H Tang, J McDermott, ... NeurIPS, 2019 | 37 | 2019 |
| Emergence of Separable Manifolds in Deep Language Representations J Mamou, H Le, M Del Rio, C Stephenson, H Tang, Y Kim, SY Chung ICML, 2020 | 36 | 2020 |
| Neuroscience needs Network Science DL Barabási, G Bianconi, E Bullmore, M Burgess, SY Chung, ... Journal of Neuroscience 43 (34), 5989-5995, 2023 | 35 | 2023 |
| On 1/n neural representation and robustness J Nassar, P Sokol, S Chung, KD Harris, IM Park NeurIPS, 2020 | 29 | 2020 |
| Credit Assignment Through Broadcasting a Global Error Vector DG Clark, LF Abbott, SY Chung NeurIPS, 2021 | 22 | 2021 |
| 25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC Neuroscience 17 (1), 54, 2016 | 22 | 2016 |
| Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models M Alleman, J Mamou, MA Del Rio, H Tang, Y Kim, SY Chung Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2021 | 20 | 2021 |
| Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception J Dapello*, J Feather*, H Le*, T Marques, D Cox, J McDermott, JJ DiCarlo, ... NeurIPS, 2021 | 14 | 2021 |
| Learning Data Manifolds with a Cutting Plane Method SY Chung, U Cohen, H Sompolinsky, DD Lee Neural Computation 30 (10), 2593–2615, 2018 | 12 | 2018 |
| Small molecule injection into single-cell C. elegans embryos via carbon-reinforced nanopipettes LD Brennan, T Roland, DG Morton, SM Fellman, SY Chung, M Soltani, ... PloS one 8 (9), e75712, 2013 | 11 | 2013 |
| A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields ERJ Levy, S Carrillo-Segura, EH Park, WT Redman, JR Hurtado, ... Cell Reports 42 (10), 2023 | 10 | 2023 |
| Learning efficient coding of natural images with maximum manifold capacity representations T Yerxa, Y Kuang, E Simoncelli, SY Chung Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Linear classification of neural manifolds with correlated variability AJ Wakhloo, TJ Sussman, SY Chung Physical Review Letters 131 (2), 027301, 2023 | 9 | 2023 |
| Transformation of acoustic information to sensory decision variables in the parietal cortex JD Yao, KO Zemlianova, DL Hocker, C Savin, CM Constantinople, ... Proceedings of the National Academy of Sciences 120 (2), e2212120120, 2023 | 9 | 2023 |
| Divisive Feature Normalization Improves Image Recognition Performance in AlexNet M Miller, SY Chung, KD Miller ICLR, 2022 | 7 | 2022 |
Daniel D. LeeTisch University Professor of ECE, Cornell University在 alum.mit.edu 的电子邮件经过验证
