Articles amb requisits d'accés públic - Yisong YueMés informació
Disponibles en algun lloc: 91
A deep learning approach for generalized speech animation
S Taylor, T Kim, Y Yue, M Mahler, J Krahe, AG Rodriguez, J Hodgins, ...
ACM Transactions On Graphics (TOG) 36 (4), 1-11, 2017
Requisits: UK Engineering and Physical Sciences Research Council
Long-term forecasting using higher order tensor-train rnns
R Yu, S Zheng, A Anandkumar, Y Yue
arXiv preprint arXiv:1711.00073, 2017
Requisits: US National Science Foundation, US Department of Defense
Coordinated Multi-Agent Imitation Learning
HM Le, Y Yue, P Carr, P Lucey
International Conference on Machine Learning (ICML), 2017
Requisits: US National Science Foundation
PhaseLink: A deep learning approach to seismic phase association
ZE Ross, Y Yue, MA Meier, E Hauksson, TH Heaton
Journal of Geophysical Research: Solid Earth 124 (1), 856-869, 2019
Requisits: US National Science Foundation, Swiss National Science Foundation, Gordon …
Neural-fly enables rapid learning for agile flight in strong winds
M O’Connell, G Shi, X Shi, K Azizzadenesheli, A Anandkumar, Y Yue, ...
Science Robotics 7 (66), eabm6597, 2022
Requisits: US Department of Defense
Iterative Amortized Inference
J Marino, Y Yue, S Mandt
International Conference on Machine Learning (ICML), 2018
Requisits: US National Science Foundation
Informed training set design enables efficient machine learning-assisted directed protein evolution
BJ Wittmann, Y Yue, FH Arnold
Cell systems 12 (11), 1026-1045. e7, 2021
Requisits: US National Science Foundation
Stagewise Safe Bayesian Optimization with Gaussian Processes
Y Sui, V Zhuang, JW Burdick, Y Yue
International Conference on Machine Learning (ICML), 2018
Requisits: US National Science Foundation
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
Y Liu, R Yu, S Zheng, E Zhan, Y Yue
Neural Information Processing Systems (NeurIPS), 2019
Requisits: US National Science Foundation, US Department of Defense
Safe Exploration and Optimization of Constrained MDPs using Gaussian Processes
A Wachi, Y Sui, Y Yue, M Ono
AAAI, 2018
Requisits: US National Science Foundation
Reliable real‐time seismic signal/noise discrimination with machine learning
MA Meier, ZE Ross, A Ramachandran, A Balakrishna, S Nair, P Kundzicz, ...
Journal of Geophysical Research: Solid Earth 124 (1), 788-800, 2019
Requisits: Swiss National Science Foundation, Gordon and Betty Moore Foundation
A general framework for multi-fidelity bayesian optimization with gaussian processes
J Song, Y Chen, Y Yue
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Requisits: US National Science Foundation, Swiss National Science Foundation
Predicting structured objects with support vector machines
T Joachims, T Hofmann, Y Yue, CN Yu
Communications of the ACM 52 (11), 97-104, 2009
Requisits: US National Institutes of Health
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
E Zhan, S Zheng, Y Yue, L Sha, P Lucey
International Conference on Learning Representations (ICLR), 2019
Requisits: US National Science Foundation
Preference-Based Learning for Exoskeleton Gait Optimization
M Tucker, E Novoseller, C Kann, Y Sui, Y Yue, J Burdick, AD Ames
International Conference on Robotics and Automation (ICRA), 2020
Requisits: US National Science Foundation, US National Institutes of Health
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
B Rivière, W Hoenig, Y Yue, SJ Chung
IEEE Robotics and Automation Letters (RA-L), 2020
Requisits: US National Aeronautics and Space Administration
Generating Long-term Trajectories using Deep Hierarchical Networks
S Zheng, Y Yue, P Lucey
Advances In Neural Information Processing Systems, 1543-1551, 2016
Requisits: US National Science Foundation
Imitation-Projected Programmatic Reinforcement Learning
A Verma, HM Le, Y Yue, S Chaudhuri
Neural Information Processing Systems (NeurIPS), 2019
Requisits: US National Science Foundation, US Department of Defense
Control Regularization for Reduced Variance Reinforcement Learning
R Cheng, A Verma, G Orosz, S Chaudhuri, Y Yue, JW Burdick
International Conference on Machine Learning (ICML), 2019
Requisits: US Department of Defense
A general large neighborhood search framework for solving integer linear programs
J Song, R Lanka, Y Yue, B Dilkina
Neural Information Processing Systems (NeurIPS), 2020
Requisits: US National Science Foundation, US Department of Defense
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