Zobrazeno 1 - 10
of 1 275
pro vyhledávání: '"WONG, ADRIAN"'
The treatment of Hall-effect thrusters as nonlinear, dynamical systems has emerged as a new perspective to understand and analyze data acquired from the thrusters. The acquisition of high-speed data that can resolve the characteristic high-frequency
Externí odkaz:
http://arxiv.org/abs/2408.06499
This paper explores the conditions under which global contraction manifests in the leaky continuous time reservoirs, thus guaranteeing generalized synchronization. Results on continuous time reservoirs make use of the logarithmic norm of the connecti
Externí odkaz:
http://arxiv.org/abs/2408.04058
Publikováno v:
Einstein (16794508). 2022 Supplement, Vol. 20, pix-xi. 3p.
Autor:
Hoque, Ryan, Shivakumar, Kaushik, Aeron, Shrey, Deza, Gabriel, Ganapathi, Aditya, Wong, Adrian, Lee, Johnny, Zeng, Andy, Vanhoucke, Vincent, Goldberg, Ken
Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware. Using Reach, a cloud robotics platform that enables low-latency remote execution of control
Externí odkaz:
http://arxiv.org/abs/2204.10297
Autor:
Zeng, Andy, Attarian, Maria, Ichter, Brian, Choromanski, Krzysztof, Wong, Adrian, Welker, Stefan, Tombari, Federico, Purohit, Aveek, Ryoo, Michael, Sindhwani, Vikas, Lee, Johnny, Vanhoucke, Vincent, Florence, Pete
Large pretrained (e.g., "foundation") models exhibit distinct capabilities depending on the domain of data they are trained on. While these domains are generic, they may only barely overlap. For example, visual-language models (VLMs) are trained on I
Externí odkaz:
http://arxiv.org/abs/2204.00598
We provide a method to identify system parameters of dynamical systems, called ID-ODE -- Inference by Differentiation and Observing Delay Embeddings. In this setting, we are given a dataset of trajectories from a dynamical system with system paramete
Externí odkaz:
http://arxiv.org/abs/2203.06269
Autor:
Florence, Pete, Lynch, Corey, Zeng, Andy, Ramirez, Oscar, Wahid, Ayzaan, Downs, Laura, Wong, Adrian, Lee, Johnny, Mordatch, Igor, Tompson, Jonathan
We find that across a wide range of robot policy learning scenarios, treating supervised policy learning with an implicit model generally performs better, on average, than commonly used explicit models. We present extensive experiments on this findin
Externí odkaz:
http://arxiv.org/abs/2109.00137
Reservoir computers (RC) are a form of recurrent neural network (RNN) used for forecasting timeseries data. As with all RNNs, selecting the hyperparameters presents a challenge when training onnew inputs. We present a method based on generalized sync
Externí odkaz:
http://arxiv.org/abs/2103.00362
Reservoir computers (RC) are a form of recurrent neural network (RNN) used for forecasting time series data. As with all RNNs, selecting the hyperparameters presents a challenge when training on new inputs. We present a method based on generalized sy
Externí odkaz:
http://arxiv.org/abs/2102.08930
Autor:
Arromrak, Bovern Suchart, Wong, Adrian Tsz Chun, Hui, Tin Yan, Leung, Kin Sum, Williams, Gray A., Ganmanee, Monthon, Durand, Thierry, Lee, Jetty Chung-Yung, Gaitan-Espitia, Juan D.
Publikováno v:
In Journal of Experimental Marine Biology and Ecology April 2024 573