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A Deep Learning Approach for Characterizing Major Galaxy Mergers

Feb 09, 2021
Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adria Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

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Learning disentangled representations via product manifold projection

Mar 02, 2021
Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà

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WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing

Apr 20, 2021
Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant Shenoy

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Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?

Feb 25, 2021
Taraka Rama, Sowmya Vajjala

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Segmentation of common and internal carotid arteries from 3D ultrasound images using adaptive triple U-Net

Jan 28, 2021
Mingjie Jiang, Yuan Zhao, Bernard Chiu

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Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications

Dec 07, 2020
Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui

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Real-time Segmentation and Facial Skin Tones Grading

Dec 30, 2019
Ling Luo, Dingyu Xue, Xinglong Feng, Yichun Yu, Peng Wang

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Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing

Jan 21, 2021
Yi Shi, Yalin E. Sagduyu

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Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support

Mar 11, 2021
Guangyuan Hu, Zecheng He, Ruby B. Lee

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Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives

Mar 26, 2021
Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz

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