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Christopher Rawles
Christopher Rawles
Google DeepMind
Verified email at google.com
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Cited by
Cited by
Year
Androidinthewild: A large-scale dataset for android device control
C Rawles, A Li, D Rodriguez, O Riva, T Lillicrap
Advances in Neural Information Processing Systems 36, 2024
1142024
A non-parametric method for automatic determination of P-wave and S-wave arrival times: application to local micro earthquakes
C Rawles, C Thurber
Geophysical Journal International 202 (2), 1164-1179, 2015
542015
Scaling transition in earthquake sources: a possible link between seismic and laboratory measurements
L Malagnini, K Mayeda, S Nielsen, SH Yoo, I Munafo’, C Rawles, ...
Pure and Applied Geophysics 171, 2685-2707, 2014
382014
High‐resolution relocation of aftershocks of the Mw 7.1 Darfield, New Zealand, earthquake and implications for fault activity
EM Syracuse, CH Thurber, CJ Rawles, MK Savage, S Bannister
Journal of Geophysical Research: Solid Earth 118 (8), 4184-4195, 2013
262013
AndroidWorld: A dynamic benchmarking environment for autonomous agents
C Rawles, S Clinckemaillie, Y Chang, J Waltz, G Lau, M Fair, A Li, ...
arXiv preprint arXiv:2405.14573, 2024
182024
On the Effects of Data Scale on Computer Control Agents
W Li, W Bishop, A Li, C Rawles, F Campbell-Ajala, D Tyamagundlu, ...
arXiv preprint arXiv:2406.03679, 2024
92024
3-D P- and S-wave velocity structure along the central Alpine Fault, South Island, New Zealand
B Guo, CH Thurber, SW Roecker, J Townend, C Rawles, CJ Chamberlain, ...
Geophysical Journal International 209 (2), 935-947, 2017
92017
Androidworld: A dynamic benchmarking environment for autonomous agents, 2024
C Rawles, S Clinckemaillie, Y Chang, J Waltz, G Lau, M Fair, A Li, ...
URL https://arxiv. org/abs/2405 14573, 0
5
Systems and methods for non-parametric autopicking of seismic wave features from seismic data
CJ Rawles, CH Thurber
US Patent 10,317,549, 2019
42019
Imaging subsurface properties using a parallel processing database system
KK Das, R Raghu, CJ Rawles
US Patent 9,720,117, 2017
12017
Latent State Estimation Helps UI Agents to Reason
WE Bishop, A Li, C Rawles, O Riva
arXiv preprint arXiv:2405.11120, 2024
2024
Crustal Structure and Seismicity along the Central Alpine Fault: Results from the WIZARD Array
CH Thurber, SW Roecker, J Townend, SC Bannister, B Guo, C Rawles, ...
AGU Fall Meeting Abstracts 2015, T11G-01, 2015
2015
A Nonparametric Approach to Automated S-Wave Picking
C Rawles, CH Thurber
AGU Fall Meeting Abstracts 2014, S42A-05, 2014
2014
Three-dimensional P-and S-wave velocity structure along the central Alpine Fault, South Island, New Zealand
B Guo, CH Thurber, SW Roecker, J Townend, C Rawles, CJ Chamberlain, ...
AGU Fall Meeting Abstracts 2014, S31E-01, 2014
2014
Seismological Characterization of the DFDP-2 Drill-Site and Surroundings, Whataroa Valley, Central Alpine Fault, New Zealand
J Townend, A Benson, CM Boese, S Bourguignon, CJ Chamberlain, ...
AGU Fall Meeting Abstracts 2014, T12C-03, 2014
2014
Focal Mechanism Characterization of Microseismicity Near the Alpine Fault, Southern Alps, New Zealand
C Rawles, CH Thurber, SW Roecker, JP Feenstra, J Townend, ...
AGU Fall Meeting Abstracts 2013, T23E-2631, 2013
2013
On the Effects of Data Scale on UI Control Agents
W Li, WE Bishop, A Li, C Rawles, F Campbell-Ajala, D Tyamagundlu, ...
The Thirty-eight Conference on Neural Information Processing Systems …, 0
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