| Efficient Neuromorphic Signal Processing with Loihi 2 G Orchard, EP Frady, DB Dayan Rubin, S Sanborn, SB Shrestha, ... IEEE Workshop on Signal Processing Systems, 2021 | 168 | 2021 |
| Children’s representation of abstract relations in relational/array match-to-sample tasks JR Hochmann, AS Tuerk, S Sanborn, R Zhu, R Long, M Dempster, ... Cognitive psychology 99, 17-43, 2017 | 65 | 2017 |
| What do you mean, no? Toddlers’ comprehension of logical “no” and “not” R Feiman, S Mody, S Sanborn, S Carey Language Learning and Development 13 (4), 430-450, 2017 | 59 | 2017 |
| Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks M Papillon, S Sanborn, M Hajij, N Miolane arXiv preprint arXiv:2304.10031, 2023 | 28 | 2023 |
| Euclidean neural networks: e3nn M Geiger, T Smidt, M Alby, BK Miller, W Boomsma, B Dice, K Lapchevskyi, ... Version 0.5. 0, 2022 | 25 | 2022 |
| Learning how to generalize JL Austerweil, S Sanborn, TL Griffiths Cognitive science 43 (8), e12777, 2019 | 18 | 2019 |
| Bispectral Neural Networks S Sanborn, C Shewmake, B Olshausen, C Hillar International Conference on Learning Representations (ICLR), 2023 | 16 | 2023 |
| Euclidean neural networks: e3nn, 2020 M Geiger, T Smidt, M Alby, BK Miller, W Boomsma, B Dice, K Lapchevskyi, ... URL https://doi. org/10.5281/zenodo 5292912, 0 | 15 | |
| Efficient neuromorphic signal processing with resonator neurons EP Frady, S Sanborn, SB Shrestha, DBD Rubin, G Orchard, FT Sommer, ... Journal of Signal Processing Systems 94 (10), 917-927, 2022 | 13 | 2022 |
| Representational efficiency outweighs action efficiency in human program induction S Sanborn, DD Bourgin, M Chang, TL Griffiths Cognitive Science Society (CSS), 2018 | 11 | 2018 |
| Euclidean neural networks: e3nn, April 2022 M Geiger, T Smidt, M Alby, BK Miller, W Boomsma, B Dice, K Lapchevskyi, ... URL https://doi. org/10.5281/zenodo 6459381 (4), 0 | 11 | |
| Harmonics of learning: Universal fourier features emerge in invariant networks GL Marchetti, CJ Hillar, D Kragic, S Sanborn The Thirty Seventh Annual Conference on Learning Theory, 3775-3797, 2024 | 7 | 2024 |
| 2021 IEEE Workshop on Signal Processing Systems (SiPS) G Orchard, EP Frady, DBD Rubin, S Sanborn, SB Shrestha, FT Sommer, ... | 7 | 2021 |
| Quantifying extrinsic curvature in neural manifolds F Acosta, S Sanborn, KD Duc, M Madhav, N Miolane Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Efficient neuromorphic signal processing with loihi 2 2021 IEEE Workshop on Signal Processing Systems (SiPS) G Orchard, EP Frady, DBD Rubin, S Sanborn, SB Shrestha, FT Sommer, ... IEEE, 2021 | 6 | 2021 |
| Human priors in hierarchical program induction MK Ho, S Sanborn, F Callaway, D Bourgin, T Griffiths Computational Cognitive Neuroscience (CCN), 2018 | 6 | 2018 |
| ICML 2023 topological deep learning challenge: design and results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 4 | 2023 |
| Iclr 2022 challenge for computational geometry & topology: Design and results A Myers, S Utpala, S Talbar, S Sanborn, C Shewmake, C Donnat, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2022, 269-276, 2022 | 4 | 2022 |
| Exploring the hierarchical structure of human plans via program generation CG Correa, S Sanborn, MK Ho, F Callaway, ND Daw, TL Griffiths arXiv preprint arXiv:2311.18644, 2023 | 3 | 2023 |
| 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 |
Nina MiolaneAssistant Professor at UC Santa Barbara在 ucsb.edu 的电子邮件经过验证
