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Publication search results
found 7,532 matches
- 2021
- Vikrant Singhal, Thomas Steinke:
Privately Learning Subspaces. CoRR abs/2106.00001 (2021) - Junjie Liu, Yiyang Sun, Jing Ma, Jiachen Tu, Yuhui Deng, Ping He, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu:
Analysis and classification of main risk factors causing stroke in Shanxi Province. CoRR abs/2106.00002 (2021) - Firas Hamze:
Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices. CoRR abs/2106.00003 (2021) - Mahdi Chehimi, Walid Saad:
Quantum Federated Learning with Quantum Data. CoRR abs/2106.00005 (2021) - Manuel Ntumba, Saurabh Gore, Jean-Baptiste Awanyo:
DikpolaSat Mission: Improvement of Space Flight Performance and Optimal Control Using Trained Deep Neural Network - Trajectory Controller for Space Objects Collision Avoidance. CoRR abs/2106.00007 (2021) - Hao Xu, Dongxiao Zhang:
Robust discovery of partial differential equations in complex situations. CoRR abs/2106.00008 (2021) - Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang:
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR abs/2106.00009 (2021) - Lu Ma, Song Yang, Yaguang Gong, Zhongqin Wu:
Multi-Scale Attention Neural Network for Acoustic Echo Cancellation. CoRR abs/2106.00010 (2021) - Fahri Wisnu Murti, Samad Ali, Matti Latva-aho:
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. CoRR abs/2106.00011 (2021) - Asier Gutiérrez-Fandiño, David Pérez Fernández, Jordi Armengol-Estapé, Marta Villegas:
Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set. CoRR abs/2106.00012 (2021) - M. Andrecut:
Diffusion Self-Organizing Map on the Hypersphere. CoRR abs/2106.00014 (2021) - Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu:
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR abs/2106.00026 (2021) - Qian Lou, Lei Jiang:
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture. CoRR abs/2106.00038 (2021) - Milliam Maxime Zekeng Ndadji:
A Grammatical Approach for Distributed Business Process Management using Structured and Cooperatively Edited Mobile Artifacts. CoRR abs/2106.00041 (2021) - Tudor Berariu, Wojciech Czarnecki, Soham De, Jörg Bornschein, Samuel L. Smith, Razvan Pascanu, Claudia Clopath:
A study on the plasticity of neural networks. CoRR abs/2106.00042 (2021) - Matthew Baas, Herman Kamper:
StarGAN-ZSVC: Towards Zero-Shot Voice Conversion in Low-Resource Contexts. CoRR abs/2106.00043 (2021) - Abhishek Panigrahi, Navin Goyal:
Learning and Generalization in RNNs. CoRR abs/2106.00047 (2021) - Lukas Hedegaard, Alexandros Iosifidis:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. CoRR abs/2106.00050 (2021) - Roman Bedyakin, Nikolay Mikhaylovskiy:
Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions. CoRR abs/2106.00052 (2021) - Thomas Bott, Dominik Schlechtweg, Sabine Schulte im Walde:
More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods. CoRR abs/2106.00055 (2021) - Bahareh Tolooshams, Demba E. Ba:
PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. CoRR abs/2106.00058 (2021) - Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. CoRR abs/2106.00062 (2021) - Andrew Adamatzky, Antoni Gandia:
Living mycelium composites discern weights. CoRR abs/2106.00063 (2021) - Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Using machine learning for quantum annealing accuracy prediction. CoRR abs/2106.00065 (2021) - Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel:
Energy and Network Aware Workload Management for Geographically Distributed Data Centers. CoRR abs/2106.00066 (2021) - Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie:
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR abs/2106.00072 (2021) - Jacob Brown, Tanujay Saha, Niraj K. Jha:
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security. CoRR abs/2106.00073 (2021) - Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er:
Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference. CoRR abs/2106.00075 (2021) - Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski:
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. CoRR abs/2106.00076 (2021) - Nicolas Steven Holliman:
Automating Visualization Quality Assessment: a Case Study in Higher Education. CoRR abs/2106.00077 (2021)
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