Daniel Freeman
Daniel Freeman
Software Engineer at Google Research
Підтверджена електронна адреса в google.com - Домашня сторінка
Назва
Посилання
Посилання
Рік
Topology and geometry of half-rectified network optimization
CD Freeman, J Bruna
arXiv preprint arXiv:1611.01540, 2016
1642016
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
582020
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
51*2019
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
Learning to predict without looking ahead: World models without forward prediction
CD Freeman, L Metz, D Ha
arXiv preprint arXiv:1910.13038, 2019
192019
Engineering autonomous error correction in stabilizer codes at finite temperature
CD Freeman, CM Herdman, KB Whaley
http://arxiv.org/abs/1603.05005, 2016
132016
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
92020
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
72020
Entanglement structure of non-equilibrium steady states
R Mahajan, CD Freeman, S Mumford, N Tubman, B Swingle
http://arxiv.org/abs/1608.05074, 2016
52016
Brax-A Differentiable Physics Engine for Large Scale Rigid Body Simulation
CD Freeman, E Frey, A Raichuk, S Girgin, I Mordatch, O Bachem
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
Training Learned Optimizers with Randomly Initialized Learned Optimizers
L Metz, CD Freeman, N Maheswaranathan, J Sohl-Dickstein
arXiv preprint arXiv:2101.07367, 2021
12021
TaskSet: A Dataset of Optimization Tasks
L Metz, N Maheswaranathan, R Sun, CD Freeman, B Poole, ...
12020
Training optimizer neural networks
J Nixon, JN Sohl-Dickstein, LS Metz, CD Freeman, N Maheswaranathan
US Patent App. 16/586,220, 2020
12020
Experimental and theoretical investigation of correlated fine structure branching ratios arising from state-selected predissociation of BrO (A 2 Π 3/2)
MP Grubb, KS Dooley, CD Freeman, KA Peterson, SW North
Physical Chemistry Chemical Physics 16 (2), 607-615, 2014
12014
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
2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Generation Beyond Reward Maximization
SS Gu, M Diaz, CD Freeman, H Furuta, SKS Ghasemipour, A Raichuk, ...
2021
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