E-LIB Suche - Ergebnisse für: Racah, Evan

1

Hierarchical Model-Based Imitation Learning for Planning in..:

, In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Bronstein, Eli ; Palatucci, Mark ; Notz, Dominik... - p. 8652-8659 , 2022

2

Deep Neural Networks for Physics Analysis on low-level whol..:

Bhimji, Wahid ; Farrell, Steven Andrew ; Kurth, Thorsten...
Journal of Physics: Conference Series. 1085 (2018) - p. 042034 , 2018

Link: https://doi.org/10.1088/..

3

Deep learning at 15PF : supervised and semi-supervised c..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Kurth, Thorsten ; Zhang, Jian ; Satish, Nadathur... - p. 1-11 , 2017

Link: https://dl.acm.org/doi/1..

4

Hierarchical Model-Based Imitation Learning for Planning in..:

Bronstein, Eli ; Palatucci, Mark ; Notz, Dominik...
http://arxiv.org/abs/2210.09539. , 2022

Link: http://arxiv.org/abs/221..

5

The LoCA Regret: A Consistent Metric to Evaluate Model-Base..:

van Seijen, Harm ; Nekoei, Hadi ; Racah, Evan.
http://arxiv.org/abs/2007.03158. , 2020

Link: http://arxiv.org/abs/200..

6

Slot Contrastive Networks: A Contrastive Approach for Repre..:

Racah, Evan ; Chandar, Sarath
http://arxiv.org/abs/2007.09294. , 2020

Link: http://arxiv.org/abs/200..

7

Unsupervised State Representation Learning in Atari:

Anand, Ankesh ; Racah, Evan ; Ozair, Sherjil...
http://arxiv.org/abs/1906.08226. , 2019

Link: http://arxiv.org/abs/190..

8

Supervise Thyself: Examining Self-Supervised Representation..:

Racah, Evan ; Pal, Christopher
http://arxiv.org/abs/1906.11951. , 2019

Link: http://arxiv.org/abs/190..

9

Deep Learning at 15PF: Supervised and Semi-Supervised Class..:

Kurth, Thorsten ; Zhang, Jian ; Satish, Nadathur...
http://arxiv.org/abs/1708.05256. , 2017

Link: http://arxiv.org/abs/170..

10

Deep Neural Networks for Physics Analysis on low-level whol..:

Bhimji, Wahid ; Farrell, Steven Andrew ; Kurth, Thorsten...
http://arxiv.org/abs/1711.03573. , 2017

Link: http://arxiv.org/abs/171..

11

ExtremeWeather: A large-scale climate dataset for semi-supe..:

Racah, Evan ; Beckham, Christopher ; Maharaj, Tegan...
http://arxiv.org/abs/1612.02095. , 2016

Link: http://arxiv.org/abs/161..

12

Matrix Factorization at Scale: a Comparison of Scientific D..:

Gittens, Alex ; Devarakonda, Aditya ; Racah, Evan...
http://arxiv.org/abs/1607.01335. , 2016

Link: http://arxiv.org/abs/160..

13

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distrib..:

Patwary, Md Mostofa Ali ; Satish, Nadathur Rajagopalan ; Sundaram, Narayanan...
qt2p52j5j0. , 2016

Link: https://escholarship.org..

14

Matrix Factorizations at Scale: a Comparison of Scientific ..:

Gittens, Alex ; Devarakonda, Aditya ; Racah, Evan...
qt13q8t1hg. , 2016

Link: https://escholarship.org..

15

Revealing Fundamental Physics from the Daya Bay Neutrino Ex..:

Racah, Evan ; Ko, Seyoon ; Sadowski, Peter...
http://arxiv.org/abs/1601.07621. , 2016

Link: http://arxiv.org/abs/160..