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Daniel Freeman
Daniel Freeman
Software Engineer at Google Research
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Topology and geometry of half-rectified network optimization
CD Freeman, J Bruna
arXiv preprint arXiv:1611.01540, 2016
1912016
Modern approaches to exact diagonalization and selected configuration interaction with the adaptive sampling CI method
NM Tubman, CD Freeman, DS Levine, D Hait, M Head-Gordon, ...
Journal of chemical theory and computation 16 (4), 2139-2159, 2020
832020
Understanding and correcting pathologies in the training of learned optimizers
L Metz, N Maheswaranathan, J Nixon, D Freeman, J Sohl-Dickstein
International Conference on Machine Learning, 4556-4565, 2019
74*2019
Brax--A Differentiable Physics Engine for Large Scale Rigid Body Simulation
CD Freeman, E Frey, A Raichuk, S Girgin, I Mordatch, O Bachem
arXiv preprint arXiv:2106.13281, 2021
48*2021
Learning to predict without looking ahead: World models without forward prediction
D Freeman, D Ha, L Metz
Advances in Neural Information Processing Systems 32, 2019
292019
A method for the determination of speed-dependent semi-classical vector correlations from sliced image anisotropies
MP Grubb, ML Warter, CD Freeman, NA West, KM Usakoski, KM Johnson, ...
The Journal of chemical physics 135 (9), 094201, 2011
27*2011
Relaxation dynamics of the toric code in contact with a thermal reservoir: Finite-size scaling in a low-temperature regime
CD Freeman, CM Herdman, DJ Gorman, KB Whaley
Physical Review B 90 (13), 134302, 2014
202014
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
L Metz, N Maheswaranathan, CD Freeman, B Poole, J Sohl-Dickstein
arXiv preprint arXiv:2009.11243, 2020
182020
Gradients are not all you need
L Metz, CD Freeman, SS Schoenholz, T Kachman
arXiv preprint arXiv:2111.05803, 2021
152021
Engineering autonomous error correction in stabilizer codes at finite temperature
CD Freeman, CM Herdman, KB Whaley
http://arxiv.org/abs/1603.05005, 2016
152016
Using a thousand optimization tasks to learn hyperparameter search strategies
L Metz, N Maheswaranathan, R Sun, CD Freeman, B Poole, ...
arXiv preprint arXiv:2002.11887, 2020
142020
Entanglement structure of non-equilibrium steady states
R Mahajan, CD Freeman, S Mumford, N Tubman, B Swingle
http://arxiv.org/abs/1608.05074, 2016
62016
Braxlines: Fast and interactive toolkit for rl-driven behavior engineering beyond reward maximization
SS Gu, M Diaz, DC Freeman, H Furuta, SKS Ghasemipour, A Raichuk, ...
arXiv preprint arXiv:2110.04686, 2021
52021
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
32022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
S Kamyar Seyed Ghasemipour, D Freeman, B David, S Kataoka, ...
arXiv e-prints, arXiv: 2203.13733, 2022
3*2022
Training learned optimizers with randomly initialized learned optimizers
L Metz, CD Freeman, N Maheswaranathan, J Sohl-Dickstein
arXiv preprint arXiv:2101.07367, 2021
32021
Stable quantum memories with limited measurement
CD Freeman, M Sarovar, CM Herdman, KB Whaley
https://arxiv.org/abs/1708.02260, 2017
32017
Monte Carlo Tensor Network Renormalization
W Huggins, CD Freeman, M Stoudenmire, NM Tubman, KB Whaley
https://arxiv.org/abs/1710.03757, 2017
22017
Vibrational state-selected photodissociation of ClO+
CD Freeman, MP Grubb, IC Lane, SW North
Chemical Physics 408, 43-49, 2012
22012
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning
S Kataoka, SKS Ghasemipour, D Freeman, I Mordatch
arXiv preprint arXiv:2203.08277, 2022
12022
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Articles 1–20