Deep active learning for nonlinear system identification

24 February 2023

Papers citing "Deep active learning for nonlinear system identification"

21 / 21 papers shown

Title
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process Haakon Robinson E. Lundby Adil Rasheed J. Gravdahl 51 5 0 22 Sep 2022
Sparse deep neural networks for modeling aluminum electrolysis dynamics E. Lundby Adil Rasheed I. Halvorsen J. Gravdahl 48 14 0 13 Sep 2022
Reachability Analysis of a General Class of Neural Ordinary Differential Equations Diego Manzanas Lopez Patrick Musau Nathaniel P. Hamilton Taylor T. Johnson 51 15 0 13 Jul 2022
Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms Tim Salzmann Elia Kaufmann Jon Arrizabalaga Marco Pavone Davide Scaramuzza Markus Ryll 93 97 0 15 Mar 2022
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 229 1,150 0 07 Jul 2021
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 101 1,146 0 30 Aug 2020
A Survey of Active Learning for Text Classification using Deep Neural Networks Christopher Schröder A. Niekler 62 100 0 17 Aug 2020
Active Learning for Nonlinear System Identification with Guarantees Horia Mania Michael I. Jordan Benjamin Recht 83 104 0 18 Jun 2020
Active Learning for Identification of Linear Dynamical Systems Andrew Wagenmaker Kevin Jamieson 90 47 0 02 Feb 2020
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 121 628 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,449 0 03 Dec 2019
Actively Learning Gaussian Process Dynamics Mona Buisson-Fenet Friedrich Solowjow Sebastian Trimpe GP 78 64 0 22 Nov 2019
Active Learning for Deep Detection Neural Networks H. H. Aghdam Abel Gonzalez-Garcia Joost van de Weijer Antonio M. López VLM ObjD 87 139 0 20 Nov 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 170 1,704 0 06 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV BDL 70 302 0 04 Jun 2019
Competence-based Curriculum Learning for Neural Machine Translation Emmanouil Antonios Platanios Otilia Stretcu Graham Neubig Barnabás Póczós Tom Michael Mitchell 86 344 0 23 Mar 2019
Diverse mini-batch Active Learning Fedor Zhdanov 59 155 0 17 Jan 2019
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 70 1,735 0 08 Mar 2017
Cost-Effective Active Learning for Deep Image Classification Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin VLM 93 679 0 13 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 840 5,840 0 05 Dec 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 171 2,939 0 07 Oct 2016