Rosanne Liu
Rosanne Liu
ML Collective; Google Brain
Zweryfikowany adres z - Strona główna
Cytowane przez
Cytowane przez
An intriguing failing of convolutional neural networks and the coordconv solution
R Liu, J Lehman, P Molino, FP Such, E Frank, A Sergeev, J Yosinski
arXiv preprint arXiv:1807.03247, 2018
Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations
L Ward, R Liu, A Krishna, VI Hegde, A Agrawal, A Choudhary, ...
Physical Review B 96 (2), 024104, 2017
A predictive machine learning approach for microstructure optimization and materials design
R Liu, A Kumar, Z Chen, A Agrawal, V Sundararaghavan, A Choudhary
Scientific reports 5 (1), 1-12, 2015
Plug and play language models: A simple approach to controlled text generation
S Dathathri, A Madotto, J Lan, J Hung, E Frank, P Molino, J Yosinski, ...
arXiv preprint arXiv:1912.02164, 2019
Deconstructing lottery tickets: Zeros, signs, and the supermask
H Zhou, J Lan, R Liu, J Yosinski
arXiv preprint arXiv:1905.01067, 2019
Measuring the intrinsic dimension of objective landscapes
C Li, H Farkhoor, R Liu, J Yosinski
arXiv preprint arXiv:1804.08838, 2018
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
H Xu, R Liu, A Choudhary, W Chen
Journal of Mechanical Design 137 (5), 051403, 2015
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
H Xu, R Liu, A Choudhary, W Chen
ASME International Design Engineering Technical Conferences, 2014
Faster neural networks straight from jpeg
L Gueguen, A Sergeev, B Kadlec, R Liu, J Yosinski
Advances in Neural Information Processing Systems 31, 3933-3944, 2018
Machine learning approaches for elastic localization linkages in high-contrast composite materials
R Liu, YC Yabansu, A Agrawal, SR Kalidindi, AN Choudhary
Integrating Materials and Manufacturing Innovation 4 (1), 192-208, 2015
A scalable hierarchical clustering algorithm using spark
C Jin, R Liu, Z Chen, W Hendrix, A Agrawal, A Choudhary
2015 IEEE First International Conference on Big Data Computing Service and …, 2015
Context aware machine learning approaches for modeling elastic localization in three-dimensional composite microstructures
R Liu, YC Yabansu, Z Yang, AN Choudhary, SR Kalidindi, A Agrawal
Integrating materials and manufacturing innovation 6 (2), 160-171, 2017
An atari model zoo for analyzing, visualizing, and comparing deep reinforcement learning agents
FP Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, L Schubert, ...
arXiv preprint arXiv:1812.07069, 2018
Materials discovery: Understanding polycrystals from large-scale electron patterns
R Liu, A Agrawal, W Liao, A Choudhary, M De Graef
2016 IEEE International Conference on Big Data (Big Data), 2261-2269, 2016
Supermasks in superposition
M Wortsman, V Ramanujan, R Liu, A Kembhavi, M Rastegari, J Yosinski, ...
arXiv preprint arXiv:2006.14769, 2020
Lca: Loss change allocation for neural network training
J Lan, R Liu, H Zhou, J Yosinski
arXiv preprint arXiv:1909.01440, 2019
Data sampling schemes for microstructure design with vibrational tuning constraints
A Paul, P Acar, R Liu, WK Liao, A Choudhary, V Sundararaghavan, ...
AIAA Journal 56 (3), 1239-1250, 2018
Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization
R Liu, A Agrawal, W Liao, A Choudhary, Z Chen
2015 Eighth International Conference on Contemporary Computing (IC3), 13-18, 2015
Deep learning for chemical compound stability prediction
R Liu, L Ward, C Wolverton, A Agrawal, WK Liao, A Choudhary
Proceedings of ACM SIGKDD workshop on large-scale deep learning for data …, 2016
Real time vehicle speed prediction using gas-kinetic traffic modeling
R Liu, S Xu, J Park, YL Murphey, J Kristinsson, R McGee, M Kuang, ...
Computational Intelligence in Vehicles and Transportation Systems (CIVTS …, 2011
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