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TITLE
DATE
VIEWS
A scalable constructive algorithm for the optimization of neural network architectures
By Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li · ArXiv: 1909.03306
2021-04-30
0
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks
By Davide Bacciu, Luigi Di Sotto · ArXiv: 1909.03287
2019-09-10
0
A Polya-Gamma Sampler for a Generalized Logistic Regression
By Luciana Dalla Valle, Fabrizio Leisen, Luca Rossini · ArXiv: 1909.02989
2020-12-22
0
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
By Theo Jaunet, Romain Vuillemot, Christian Wolf · ArXiv: 1909.02982
2020-05-26
1
Reinforcement Learning for Joint Optimization of Multiple Rewards
By Mridul Agarwal, Vaneet Aggarwal · ArXiv: 1909.02940
2023-01-10
0
Collocation-Based Output-Error Method for Aircraft System Identification
By Dimas Abreu Archanjo Dutra · ArXiv: 1909.02838
2019-09-09
0
Port-Hamiltonian Approach to Neural Network Training
By Stefano Massaroli, Michael Poli, Federico Califano · ArXiv: 1909.02702
2019-09-09
0
Network-Based Approach for Modeling and Analyzing Coronary Angiography
By Babak Rav, i, Arash Rav · ArXiv: 1909.02664
2020-02-27
0
Additive function approximation in the brain
By Kameron Decker Harris · ArXiv: 1909.02603
2022-02-22
0
Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version)
By Anja F. Syring, Niek Tax, Wil M.P. van der Aalst · ArXiv: 1909.02393
2019-09-06
0
Reduced-bias estimation of spatial econometric models with incompletely geocoded data
By Giuseppe Arbia, Maria Michela Dickson, Giuseppe Espa · ArXiv: 1909.02282
2019-09-06
1
Artificial Neural Networks and Adaptive Neuro-fuzzy Models for Prediction of Remaining Useful Life
By Razieh Tavakoli, Mohammad Najafi, Ali Sharifara · ArXiv: 1909.02115
2019-09-06
0
Deep Convolutional Networks in System Identification
By Carl Andersson, Ant^onio H. Ribeiro, Koen Tiels · ArXiv: 1909.01730
2019-11-20
0
Multifractal Description of Streamflow and Suspended Sediment Concentration Data from Indian River Basins
By - Adarsh S¹* (교신저자, 부교수) – TKM College of Engineering, Kollam · ArXiv: 1909.01605
2019-09-05
0
Learning sparse representations in reinforcement learning
By Jacob Rafati, David C. Noelle · ArXiv: 1909.01575
2019-09-05
1
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks
By Charlotte Frenkel, Martin Lefebvre, David Bol · ArXiv: 1909.01311
2021-01-19
0
Stochastic quasi-Newton with line-search regularization
By Adrian Wills, Thomas Sch"on · ArXiv: 1909.01238
2019-09-04
0
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
By Hansika Hewamalage, Christoph Bergmeir, Kasun B · ArXiv: 1909.00590
2020-12-24
0
Investigating Sprawl using AIC and Recursive Partitioning Trees: A Machine Learning Approach to Assessing the Association between Poverty and Commute Time
By John Sun, Christopher S. Wang, Ellie S. Krossa · ArXiv: 1909.00061
2021-03-02
0
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
By Anis Elgabli, Jihong Park, Amrit S. Bedi · ArXiv: 1909.00047
2020-03-25
1
Meta-Learning with Warped Gradient Descent
By Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu · ArXiv: 1909.00025
2020-02-19
0
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
By Javier S. Turek, Shailee Jain, Vy Vo · ArXiv: 1909.00021
2020-06-19
0
Neural Network Inference on Mobile SoCs
By Siqi Wang, Anuj Pathania, Tulika Mitra · ArXiv: 1908.11450
2021-02-03
0
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version
By David Gaudrie, Rodolphe Le Riche, Victor Picheny · ArXiv: 1908.11272
2021-05-06
0
A General Model Validation and Testing Tool
By Kevin Vanslette, Tony Tohme, Kamal Youcef-Toumi · ArXiv: 1908.11251
2019-10-28
0
Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning
By Junya Ikemoto, Toshimitsu Ushio · ArXiv: 1908.10722
2019-09-02
0
Automated Architecture Design for Deep Neural Networks
By Steven Abreu · ArXiv: 1908.10714
2019-08-29
1
Testing Neural Program Analyzers
By Md Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour · ArXiv: 1908.10711
2021-03-22
0
Learning Algebraic Models of Quantum Entanglement
By Hamza Jaffali, Luke Oeding · ArXiv: 1908.10247
2020-12-29
0
The Poisson binomial distribution -- Old & New
By Wenpin Tang, Fengmin Tang · ArXiv: 1908.10024
2019-08-28
0