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Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design

May 27, 2021
Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate

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Low power in-situ AI Calibration of a 3 Axial Magnetic Sensor

Jun 27, 2021
Roger Alimi, Elad Fisher, Amir Ivry, Alon Shavit, Eyal Weiss

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Does Time-Delay Feedback Matter to Small Target Motion Detection Against Complex Dynamic Environments?

Dec 29, 2019
Hongxin Wang, Huatian Wang, Jiannan Zhao, Cheng Hu, Jigen Peng, Shigang Yue

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Generator Surgery for Compressed Sensing

Feb 22, 2021
Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand

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Diffusion Approximations for Thompson Sampling

May 19, 2021
Lin Fan, Peter W. Glynn

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Incremental Deep Neural Network Learning using Classification Confidence Thresholding

Jun 21, 2021
Justin Leo, Jugal Kalita

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Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding

May 27, 2021
Wenjia Niu, Kaihao Zhang, Wenhan Luo, Yiran Zhong, Xin Yu, Hongdong Li

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Estimating the Robustness of Public Transport Systems Using Machine Learning

Jun 10, 2021
Matthias Müller-Hannemann, Ralf Rückert, Alexander Schiewe, Anita Schöbel

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Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Apr 06, 2021
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, RJ Skerry-Ryan, Yonghui Wu

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Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space

Jun 10, 2021
Vincent Zha, Ivey Chiu, Alexandre Guilbault, Jaime Tatis

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