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Daniel Freeman
Daniel Freeman
Anthropic
Bestätigte E-Mail-Adresse bei berkeley.edu
Titel
Zitiert von
Zitiert von
Jahr
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
9762022
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
286*2021
Topology and geometry of half-rectified network optimization
CD Freeman, J Bruna
arXiv preprint arXiv:1611.01540, 2016
2662016
Multi-game decision transformers
KH Lee, O Nachum, MS Yang, L Lee, D Freeman, S Guadarrama, ...
Advances in Neural Information Processing Systems 35, 27921-27936, 2022
1942022
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
1632020
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
1582019
Gradients are not all you need
L Metz, CD Freeman, SS Schoenholz, T Kachman
arXiv preprint arXiv:2111.05803, 2021
812021
Velo: Training versatile learned optimizers by scaling up
L Metz, J Harrison, CD Freeman, A Merchant, L Beyer, J Bradbury, ...
arXiv preprint arXiv:2211.09760, 2022
572022
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
572020
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
442019
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
382020
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), 2011
32*2011
Barkour: Benchmarking animal-level agility with quadruped robots
K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ...
arXiv preprint arXiv:2305.14654, 2023
302023
Practical tradeoffs between memory, compute, and performance in learned optimizers
L Metz, CD Freeman, J Harrison, N Maheswaranathan, J Sohl-Dickstein
Conference on Lifelong Learning Agents, 142-164, 2022
272022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
S Kamyar Seyed Ghasemipour, D Freeman, B David, SS Gu, S Kataoka, ...
arXiv e-prints, arXiv: 2203.13733, 2022
25*2022
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
212014
Transformer-based learned optimization
E Gärtner, L Metz, M Andriluka, CD Freeman, C Sminchisescu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Training learned optimizers with randomly initialized learned optimizers
L Metz, CD Freeman, N Maheswaranathan, J Sohl-Dickstein
arXiv preprint arXiv:2101.07367, 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
Improving large language model fine-tuning for solving math problems
Y Liu, A Singh, CD Freeman, JD Co-Reyes, PJ Liu
arXiv preprint arXiv:2310.10047, 2023
142023
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