Daniel Freeman
Daniel Freeman
Software Engineer at Google Research
Підтверджена електронна адреса в google.com - Домашня сторінка
Topology and geometry of half-rectified network optimization
CD Freeman, J Bruna
arXiv preprint arXiv:1611.01540, 2016
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
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
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
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
Learning to predict without looking ahead: World models without forward prediction
CD Freeman, L Metz, D Ha
arXiv preprint arXiv:1910.13038, 2019
Engineering autonomous error correction in stabilizer codes at finite temperature
CD Freeman, CM Herdman, KB Whaley
http://arxiv.org/abs/1603.05005, 2016
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
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
Entanglement structure of non-equilibrium steady states
R Mahajan, CD Freeman, S Mumford, N Tubman, B Swingle
http://arxiv.org/abs/1608.05074, 2016
Brax-A Differentiable Physics Engine for Large Scale Rigid Body Simulation
CD Freeman, E Frey, A Raichuk, S Girgin, I Mordatch, O Bachem
Stable quantum memories with limited measurement
CD Freeman, M Sarovar, CM Herdman, KB Whaley
https://arxiv.org/abs/1708.02260, 2017
Monte Carlo Tensor Network Renormalization
W Huggins, CD Freeman, M Stoudenmire, NM Tubman, KB Whaley
https://arxiv.org/abs/1710.03757, 2017
Vibrational state-selected photodissociation of ClO+
CD Freeman, MP Grubb, IC Lane, SW North
Chemical Physics 408, 43-49, 2012
Training Learned Optimizers with Randomly Initialized Learned Optimizers
L Metz, CD Freeman, N Maheswaranathan, J Sohl-Dickstein
arXiv preprint arXiv:2101.07367, 2021
TaskSet: A Dataset of Optimization Tasks
L Metz, N Maheswaranathan, R Sun, CD Freeman, B Poole, ...
Training optimizer neural networks
J Nixon, JN Sohl-Dickstein, LS Metz, CD Freeman, N Maheswaranathan
US Patent App. 16/586,220, 2020
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
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
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, ...
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