| Learning single-index models with shallow neural networks A Bietti, J Bruna, C Sanford, MJ Song Advances in Neural Information Processing Systems 35, 9768-9783, 2022 | 53 | 2022 |
| Representational strengths and limitations of transformers C Sanford, DJ Hsu, M Telgarsky Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
| On the Approximation Power of Two-Layer Networks of Random ReLUs D Hsu, C Sanford, RA Servedio, EV Vlatakis-Gkaragkounis Conference on Learning Theory, 2021, 2021 | 25 | 2021 |
| Support vector machines and linear regression coincide with very high-dimensional features N Ardeshir, C Sanford, DJ Hsu Advances in Neural Information Processing Systems 34, 4907-4918, 2021 | 20 | 2021 |
| Spliceman2: a computational web server that predicts defects in pre-mRNA splicing KJ Cygan, CH Sanford, WG Fairbrother Bioinformatics 33 (18), 2943-2945, 2017 | 8 | 2017 |
| Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection C Sanford, A Kwa, O Watt‐Meyer, SK Clark, N Brenowitz, J McGibbon, ... Journal of Advances in Modeling Earth Systems 15 (11), e2023MS003809, 2023 | 6* | 2023 |
| Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals DJ Hsu, CH Sanford, R Servedio, EV Vlatakis-Gkaragkounis Conference on Learning Theory, 283-312, 2022 | 6 | 2022 |
| Enabling equation-free modeling via diffusion maps T Chin, J Ruth, C Sanford, R Santorella, P Carter, B Sandstede Journal of Dynamics and Differential Equations, 1-20, 2022 | 5 | 2022 |
| Intrinsic dimensionality and generalization properties of the R-norm inductive bias N Ardeshir, DJ Hsu, CH Sanford The Thirty Sixth Annual Conference on Learning Theory, 3264-3303, 2023 | 2 | 2023 |
| On Scrambling Phenomena for Randomly Initialized Recurrent Networks V Chatziafratis, I Panageas, C Sanford, S Stavroulakis Advances in Neural Information Processing Systems 35, 18501-18513, 2022 | 2 | 2022 |
| Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem CH Sanford, V Chatziafratis International Conference on Artificial Intelligence and Statistics, 9505-9549, 2022 | 2 | 2022 |
| Transformers, parallel computation, and logarithmic depth C Sanford, D Hsu, M Telgarsky arXiv preprint arXiv:2402.09268, 2024 | 1 | 2024 |
| Applying Rademacher-Like Bounds to Combinatorial Samples and Function Selection C Sanford | | 2018 |
| Projected Water Needs and Intervention Strategies in India. J Gross, C Sanford, G Kocks UMAP Journal 37 (2), 2016 | | 2016 |
| The Effect of Model Capacity on the Emergence of In-Context Learning B Ottlik, N Ri, D Hsu, C Sanford ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation …, 0 | | |
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
