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Jonathan S. Rosenfeld
Jonathan S. Rosenfeld
PhD, Computer Science, MIT
Verified email at csail.mit.edu
Title
Cited by
Cited by
Year
A constructive prediction of the generalization error across scales
JS Rosenfeld, A Rosenfeld, Y Belinkov, N Shavit
arXiv preprint arXiv:1909.12673, 2019
632019
On the predictability of pruning across scales
JS Rosenfeld, J Frankle, M Carbin, N Shavit
International Conference on Machine Learning, 9075-9083, 2021
122021
Scaling laws for deep learning
JS Rosenfeld
arXiv preprint arXiv:2108.07686, 2021
52021
Self-Play Learning Without a Reward Metric
D Schmidt, N Moran, JS Rosenfeld, J Rosenthal, J Yedidia
arXiv preprint arXiv:1912.07557, 2019
12019
Whole genome cell-free tumor DNA mutational signatures for noninvasive monitoring of pediatric brain cancers
I Tran, K Galbraith, G Zhao, R Borsuk, J Varkey, S Gardner, J Allen, ...
Cancer Research 82 (12_Supplement), 3401-3401, 2022
2022
Ultra-sensitive detection of minimal residual disease (MRD) through whole genome sequencing (WGS) using an AI-based error suppression model in resected early-stage non-small …
AC Tan, SP Saw, GG Lai, KL Chua, A Takano, BH Ong, TP Koh, A Jain, ...
Cancer Research 82 (12_Supplement), 5114-5114, 2022
2022
Sensitive detection of circulating tumor DNA by whole genome sequencing: Validation of MRDetect using serial blood samples from stage III colorectal cancer patients
A Frydendahl, T Reinert, J Nors, S Deochand, D Maloney, N Friedman, ...
Cancer Research 82 (12_Supplement), 1959-1959, 2022
2022
Genome-wide circulating tumor DNA for monitoring treatment response and metastatic relapse in bladder cancer
I Nordentoft, K Birkenkamp-Demtröder, E Christensen, S Deochand, ...
Cancer Research 82 (12_Supplement), 540-540, 2022
2022
Clinical utility of whole genome cell-free tumor DNA mutational signatures for liquid biopsy of pediatric brain tumors
I Tran, K Galbraith, G Zhao, R Borsuk, J Varkey, S Gardner, J Allen, ...
JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY 81 (6), 470-471, 2022
2022
On the relation between neural network size and performance
JS Rosenfeld
Massachusetts Institute of Technology, 2019
2019
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