James B. Simon
Cited by
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Simplified Josephson-junction fabrication process for reproducibly high-performance superconducting qubits
A Osman, J Simon, A Bengtsson, S Kosen, P Krantz, D P Lozano, ...
Applied Physics Letters 118 (6), 2021
Benign, tempered, or catastrophic: A taxonomy of overfitting
N Mallinar, JB Simon, A Abedsoltan, P Pandit, M Belkin, P Nakkiran
arXiv preprint arXiv:2207.06569, 2022
The eigenlearning framework: A conservation law perspective on kernel regression and wide neural networks
JB Simon, M Dickens, D Karkada, MR DeWeese
arXiv preprint arXiv:2110.03922, 2021
Sgd with a constant large learning rate can converge to local maxima
L Ziyin, B Li, JB Simon, M Ueda
arXiv preprint arXiv:2107.11774, 2021
On the stepwise nature of self-supervised learning
JB Simon, M Knutins, L Ziyin, D Geisz, AJ Fetterman, J Albrecht
International Conference on Machine Learning, 31852-31876, 2023
Avalon: A benchmark for rl generalization using procedurally generated worlds
J Albrecht, A Fetterman, B Fogelman, E Kitanidis, B Wróblewski, N Seo, ...
Advances in Neural Information Processing Systems 35, 12813-12825, 2022
Reverse engineering the neural tangent kernel
JB Simon, S Anand, M Deweese
International Conference on Machine Learning, 20215-20231, 2022
Critical point-finding methods reveal gradient-flat regions of deep network losses
CG Frye, J Simon, NS Wadia, A Ligeralde, MR DeWeese, KE Bouchard
Neural computation 33 (6), 1469-1497, 2021
More is better in modern machine learning: when infinite overparameterization is optimal and overfitting is obligatory
JB Simon, D Karkada, N Ghosh, M Belkin
arXiv preprint arXiv:2311.14646, 2023
Interleaved electro-optic dual comb generation to expand bandwidth and scan rate for molecular spectroscopy and dynamics studies near 1.6 µm
JR Stroud, JB Simon, GA Wagner, DF Plusquellic
Optics Express 29 (21), 33155-33170, 2021
A spectral condition for feature learning
G Yang, JB Simon, J Bernstein
arXiv preprint arXiv:2310.17813, 2023
Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training
AJ Fetterman, E Kitanidis, J Albrecht, Z Polizzi, B Fogelman, M Knutins, ...
arXiv preprint arXiv:2306.08055, 2023
Rapid Passage Signals from CO2 at 1.6 µm Using a Dual Chirped-Pulse Electro-Optic Comb System with High-Order Interleaving
JR Stroud, J Simon, GA Wagner, DF Plusquellic
CLEO: Science and Innovations, SM3A. 1, 2021
Fast noise-resistant control of donor nuclear spin qubits in silicon
J Simon, FA Calderon-Vargas, E Barnes, SE Economou
Physical Review B 101 (20), 205307, 2020
An agnostic view on the cost of overfitting in (kernel) ridge regression
L Zhou, JB Simon, G Vardi, N Srebro
arXiv preprint arXiv:2306.13185, 2023
On Kernel Regression with Data-Dependent Kernels
JB Simon
arXiv preprint arXiv:2209.01691, 2022
More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
JB Simon, D Karkada, N Ghosh, M Belkin
The Twelfth International Conference on Learning Representations, 2023
Fast noise-resistant control for nuclear spin qubits in silicon
J Simon, FA Calderon-Vargas, E Barnes, SE Economou
arXiv, arXiv: 2001.10029, 2020
Closed-Loop Control of the Frequency Response of the Virtual Brain Model
C Beauchene, A Leonessa, S Roy, J Simon, N Abaid
Dynamic Systems and Control Conference 58271, V001T37A001, 2017
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Articles 1–20