Search results for "MLPS"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
76	Samuli Aalto, Urtzi Ayesta, Eeva Nyberg-Oksanen	Two-level processor-sharing scheduling disciplines: mean delay analysis.	SIGMETRICS	2004	DBLP DOI BibTeX RDF	FB, MLPS, unfinished truncated work, scheduling, M/G/1, LAS, PS, mean delay
75	Tae-Seung Lee, Sung-Won Choi, Won-Hyuck Choi, Hyeong-Taek Park, Sang-Seok Lim, Byong-Won Hwang	Faster Speaker Enrollment for Speaker Verification Systems Based on MLPs by Using Discriminative Cohort Speakers Method.	IEA/AIE	2003	DBLP DOI BibTeX RDF
67	Dongwuk Kyoung, Keechul Jung	Fully-Pipelining Hardware Implementation of Neural Network for Text-Based Images Retrieval.	ISNN (2)	2006	DBLP DOI BibTeX RDF
62	Ronan Collobert, Samy Bengio	Links between perceptrons, MLPs and SVMs.	ICML	2004	DBLP DOI BibTeX RDF
54	Dimitrios H. Mantzaris, George C. Anastassopoulos, Dimitrios K. Lymberopoulos	Medical disease prediction using Artificial Neural Networks.	BIBE	2008	DBLP DOI BibTeX RDF
54	Yan Guo, Lishan Kang, Fujiang Liu, Linlu Mei	A New Evolutionary Neural Network and Its Application for the Extraction of Vegetation Anomalies.	ISICA	2007	DBLP DOI BibTeX RDF	vegetation anomalies, evolutionary algorithms, remote sensing, extraction, Evolutionary neural networks, BP algorithm
48	Bertrand Granado, Patrick Garda	Evaluation of the CNAPS Neuro-Computer for the Simulation of MLPs with Receptive Fields.	IWANN	1997	DBLP DOI BibTeX RDF
43	Li Zhou, Wenyu Chen, Yong Cao, Dingyi Zeng, Wanlong Liu, Hong Qu	MLPs Compass: What is learned when MLPs are combined with PLMs?	CoRR	2024	DBLP DOI BibTeX RDF
43	Yong-Min Shin, Won-Yong Shin	Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs.	CoRR	2023	DBLP DOI BibTeX RDF
40	Minh Dao-Tran, Thomas Eiter, Michael Fink 0001, Thomas Krennwallner	Relevance-Driven Evaluation of Modular Nonmonotonic Logic Programs.	LPNMR	2009	DBLP DOI BibTeX RDF
40	Daqi Gao, Zeping Yang, Jianli Sun	Modular neural networks for estimating odor concentrations.	IJCNN	2008	DBLP DOI BibTeX RDF
40	Michael Gerber, Tobias Kaufmann 0002, Beat Pfister	Perceptron-Based Class Verification.	NOLISP	2007	DBLP DOI BibTeX RDF
40	Joe Frankel, Özgür Çetin, Nelson Morgan	Transfer Learning for Tandem ASR Feature Extraction.	MLMI	2007	DBLP DOI BibTeX RDF
40	David de la Mata-Moya, Pilar Jarabo Amores, Raul Vicen-Bueno, Manuel Rosa-Zurera, Francisco López-Ferreras	Neural Network Detectors for Composite Hypothesis Tests.	IDEAL	2006	DBLP DOI BibTeX RDF
40	Liefeng Bo, Ling Wang 0003, Licheng Jiao	Training Multi-layer Perceptrons Using MiniMin Approach.	CIS (1)	2005	DBLP DOI BibTeX RDF
40	Tae-Seung Lee, Byong-Won Hwang	Continuants Based Neural Speaker Verification System.	MICAI	2004	DBLP DOI BibTeX RDF	multiplayer perceptrons, pattern recognition, continuants, Speaker verification, biometric authentication
40	Tae-Seung Lee, Byong-Won Hwang	Optimization of Usability on an Authentication System Built from Voice and Neural Networks.	ICCSA (3)	2004	DBLP DOI BibTeX RDF	Biometric authentication system, multiplayer perceptrons, error backpropagation, real-time enrollment, discriminative cohort speakers, omitting patterns in instant learning, speaker verification
40	Naoki Kaise, Yoshiji Fujimoto	Applying the Evolutionary Neural Networks with Genetic Algorithms to Control a Rolling Inverted Pendulum.	SEAL	1998	DBLP DOI BibTeX RDF
40	Hernando Silva-Varela, Valentín Cardeñoso-Payo	Phonetic Classification in Spanish Using a Hierarchy of Specialized ANNs.	IBERAMIA	1998	DBLP DOI BibTeX RDF
35	Andrew Skabar	Application of Bayesian Techniques for MLPs to Financial Time Series Forecasting.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
35	Jinhui Liu, Paul D. Gader	Outlier Rejection with MLPs and Variants of RBF Networks.	ICPR	2000	DBLP DOI BibTeX RDF
27	Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis, Hissam Tawfik	The application of ridge polynomial neural network to multi-step ahead financial time series prediction.	Neural Comput. Appl.	2008	DBLP DOI BibTeX RDF	Ridge polynomial neural networks, Functional link neural networks, Pi-Sigma neural networks, Multilayer perceptrons, Financial time series
27	James Ting-Ho Lo	Probabilistic associative memories.	IJCNN	2008	DBLP DOI BibTeX RDF
27	Fernanda L. Minku, Xin Yao 0001	On-line bagging Negative Correlation Learning.	IJCNN	2008	DBLP DOI BibTeX RDF
27	Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis	Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
27	Reza Ebrahimpour, Ehsanollah Kabir, Mohammad Reza Yousefi	Face Detection Using Mixture of MLP Experts.	Neural Process. Lett.	2007	DBLP DOI BibTeX RDF	Principal component analysis, Face detection, Combining classifiers, Mixture of experts
27	Samuli Aalto, Urtzi Ayesta, Sem C. Borst, Vishal Misra, Rudesindo Núñez-Queija	Beyond processor sharing.	SIGMETRICS Perform. Evaluation Rev.	2007	DBLP DOI BibTeX RDF	discriminatory processor sharing, in-sensitivity, multilevel processor sharing, workload, service differentiation, asymptotic analysis, queue length, sojourn time, generalized processor sharing, slowdown, delay minimization, size-based scheduling
27	Faming Liang	Annealing stochastic approximation Monte Carlo algorithm for neural network training.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	Multiple layer perceptron, Wang-Landau algorithm, Simulated annealing, Markov chain Monte Carlo, Back-propagation, Stochastic approximation, Convergence rate
27	Raul Vicen-Bueno, Maria P. Jarabo-Amores, David de la Mata-Moya, Manuel Rosa-Zurera, Roberto Gil-Pita	Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size.	IWANN	2007	DBLP DOI BibTeX RDF
27	Jia Tang, Xiaoqin Zeng, Lei Lu	Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons.	IJCNN	2007	DBLP DOI BibTeX RDF
27	Fabrice Rossi, Brieuc Conan-Guez	Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs.	Neural Process. Lett.	2006	DBLP DOI BibTeX RDF	consistency, projection, multilayer perceptron, functional data analysis, universal approximation
27	Ki-Seung Lee	MLP-based phone boundary refining for a TTS database.	IEEE Trans. Speech Audio Process.	2006	DBLP DOI BibTeX RDF
27	Haiqi Wang, Jinfeng Wang 0001, Xuhua Liu	Local Neural Networks of Space-Time Predicting Modeling for Lattice Data in GIS.	ISNN (2)	2006	DBLP DOI BibTeX RDF
27	Rama Sangireddy, Natsuhiko Futamura, Srinivas Aluru, Arun K. Somani	Scalable, memory efficient, high-speed IP lookup algorithms.	IEEE/ACM Trans. Netw.	2005	DBLP DOI BibTeX RDF	IP packet forwarding, address lookups, scalability, longest prefix matching, routing tables
27	Ujjwal Bhattacharya, B. B. Chaudhuri 0001	Fusion of Combination Rules of an Ensemble of MLP Classifiers for Improved Recognition Accuracy of Handprinted Bangla Numerals.	ICDAR	2005	DBLP DOI BibTeX RDF
27	Tae-Seung Lee, Ho-Jin Choi	High Performance Speaker Verification System Based on Multilayer Perceptrons and Real-Time Enrollment.	ICBA	2004	DBLP DOI BibTeX RDF
27	Barry Y. Chen, Qifeng Zhu 0001, Nelson Morgan	Long-Term Temporal Features for Conversational Speech Recognition.	MLMI	2004	DBLP DOI BibTeX RDF
27	Roberto Gil-Pita, Pilar Jarabo Amores, Raul Vicen-Bueno, Manuel Rosa-Zurera	Neural Solutions for High Range Resolution Radar Classification.	IWANN (2)	2003	DBLP DOI BibTeX RDF
27	Tae-Seung Lee, Sung-Won Choi, Won-Hyuck Choi, Hyeong-Taek Park, Sang-Seok Lim, Byong-Won Hwang	A Qualitative Discriminative Cohort Speakers Method to Reduce Learning Data for MLP-Based Speaker Verification Systems.	IDEAL	2003	DBLP DOI BibTeX RDF
27	Christian Perwass, Vladimir Banarer, Gerald Sommer	Spherical Decision Surfaces Using Conformal Modelling.	DAGM-Symposium	2003	DBLP DOI BibTeX RDF
27	Helmut A. Mayer, Roland Schwaiger	Evolution of Cubic Spline Activation Functions for Artificial Neural Networks.	EPIA	2001	DBLP DOI BibTeX RDF
27	Giuseppe Nunnari, Libero Bertucco	Soft Computing Techniques for Modeling Geophysical Data.	IJCNN (6)	2000	DBLP DOI BibTeX RDF	Data Inversion, Geophysical Data, Simulated Annealing, Multilayer Perceptron, System Identification
27	Sang-Hoon Oh, Soo-Young Lee	A new error function at hidden layers for past training of multilayer perceptrons.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
27	Pedro Ángel Castillo Valdivieso, Juan Julián Merelo Guervós, Jesús González 0001, Víctor Manuel Rivas Santos, Gustavo Romero	SA-Prop: Optimization of Multilayer Perceptron Parameters Using Simulated Annealing.	IWANN (1)	1999	DBLP DOI BibTeX RDF
27	José Luis Bernier, Julio Ortega 0001, M. M. Rodríguez, Ignacio Rojas, Alberto Prieto	An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations.	IWANN (2)	1999	DBLP DOI BibTeX RDF
27	Marco Gori, Franco Scarselli	Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	pattern verification, closed hemisphere problem, pattern recognition, Multilayer perceptrons, function approximation
27	Carlos Santa Cruz, José R. Dorronsoro	A nonlinear discriminant algorithm for feature extraction and data classification.	IEEE Trans. Neural Networks	1998	DBLP DOI BibTeX RDF
27	José Carlos Príncipe, Munchurl Kim, John W. Fisher III	Target discrimination in synthetic aperture radar using artificial neural networks.	IEEE Trans. Image Process.	1998	DBLP DOI BibTeX RDF
27	José Luis Bernier, Julio Ortega 0001, Alberto Prieto	A Modified Backpropagation Algorithm to Tolerate Weight Errors.	IWANN	1997	DBLP DOI BibTeX RDF
27	Carlos Vázquez Regueiro, Senén Barro, A. Yáñez	Limitation of Connectionism in MLP.	IWANN	1993	DBLP DOI BibTeX RDF
27	Antonio Cañas, Julio Ortega 0001, F. J. Fernández, Alberto Prieto, Francisco J. Pelayo	An Approach to Isolated Word Recognition Using Multilayer Perceptrons.	IWANN	1991	DBLP DOI BibTeX RDF
25	Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser	Preface.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi	Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Yoshihiro Osakabe, Akinori Asahara	MatVAE: Independently Trained Nested Variational Autoencoder for Generating Chemical Structural Formula.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr	Partition of Unity Networks: Deep HP-Approximation.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Weiqi Ji, Weilun Qiu, Zhiyu Shi, Shaowu Pan, Sili Deng	Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Gert-Jan Both, Gijs Vermarien, Remy Kusters	Sparsely Constrained Neural Networks for Model Discovery of PDEs.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Xiaolong He, Qizhi He, Jiun-Shyan Chen	Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Chiharu Mitsumata, Tetsuya Shoji, Kotaro Saito	Bayesian-Inference-based Inverse Estimation of Small Angle Scattering.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Sanghyun Lee, Teeratorn Kadeethum	Physics-informed Neural Networks for Solving Coupled Flow and Transport System.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Ryan Mohr, Allan M. Avila, Soham Ghosh, Ananta Bhattarai, Muqiao Yang, Xintian Feng, Martin Head-Gordon, Ruslan Salakhutdinov, Maria Fonoberova, Igor Mezic	Combining Programmable Potentials and Neural Networks for Materials Problems.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve	Deep Learning-based Fast Solver of the Shallow Water Equations.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Sungyong Seo, Yan Liu	Graph Networks with Physics-aware Knowledge Informed in Latent Space.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Balakrishna D. R, Kamalkumar Rathinasamy, Avijit Das, Keerthi Ashwin, Vani Sivasankaran, Soundararajan Rajendran	Physics Informed Deep Learning for Well Test Analysis.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Andy Huang, Nathaniel Trask, Christopher Brissette, Xiaozhe Hu	Greedy Fiedler Spectral Partitioning for Data-driven Discrete Exterior Calculus.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Levi D. McClenny, Ulisses M. Braga-Neto	Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg	Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Pushpak Bhattacharyya	TextureVAE: Learning Interpretable Representations of Material Microstructures Using Variational Autoencoders.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing	Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas	Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Zhongkai Shangguan, Lei Lin, Wencheng Wu, Beilei Xu	Neural Process for Black-box Model Optimization Under Bayesian Framework.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Arijit Sehanobish, Hector H. Corzo, Onur Kara, David van Dijk	Learning Potentials of Quantum Systems using Deep Neural Networks.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Søren Taverniers, Eric Joseph Hall, Markos A. Katsoulakis, Daniel M. Tartakovsky	Graph-Informed Neural Networks.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Rishith Ellath Meethal, Leela Sai Prabhat Reddy Kondamadugula, Mohamed Khalil, Birgit Obst, Roland Wüchner	Generalized Physics-Informed Machine Learning for Transient Physical Systems.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Dorsa Ziaei, Jennifer Sleeman, Milton Halem, Vanessa Caicedo, Ruben Delgado, Belay Demoz	Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Ryan Lopez, Paul J. Atzberger	Variational Autoencoders for Learning Nonlinear Dynamics of PDEs and Reductions.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Florian Rehm, Sofia Vallecorsa, Kerstin Borras, Dirk Krücker	Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga	Learning High-Dimensional Hilbert-Valued Functions With Deep Neural Networks From Limited Data.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne	Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Randi Wang, Morad Behandish	Surrogate Modeling for Physical Systems with Preserved Properties and Adjustable Tradeoffs.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Adi Hanuka, Owen Convery	Accurate Machine Learning-based Diagnostic with Quantified Uncertainties.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B. Park, Markus Bussmann	A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC).	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Morad Behandish, John Maxwell III, Johan de Kleer	AI Research Associate for Early-Stage Scientific Discovery.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Zeenat Ali, Dorsa Ziaei, Jennifer Sleeman, Zhifeng Yang, Milton Halem	LSTMs for Inferring Planetary Boundary Layer Height (PBLH).	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Ryan Mohr, Maria Fonoberova, Iva Manojlovic, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic	Applications of Koopman Mode Analysis to Neural Networks.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li	Learning the Principle of Least Action with Reinforcement Learning.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Ameya D. Jagtap, George E. Karniadakis	Extended Physics-informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition based Deep Learning Framework for Nonlinear Partial Differential Equations.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Michael W. Mahoney, Anuj Karpatne, Matthew W. Farthing, Tyler J. Hesser (eds.)	Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to - 24th, 2021.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Steven Atkinson, Yiming Zhang, Liping Wang	Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari	Learning Dynamical Systems across Environments.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr	A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme	Accelerating High-fidelity Combustion Simulations with Classification Algorithms.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Huaiqian You, Yue Yu, Stewart Silling, Marta D'Elia	Data-driven Learning of Nonlocal Models: from high-fidelity simulations to constitutive laws.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Jan Felix Heyse, Aashwin Ananda Mishra, Gianluca Iaccarino	Data Driven Physics Constrained Perturbations for Turbulence Model Uncertainty Estimation.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Luca Bottero, Francesco Calisto, Giovanni Graziano, Valerio Pagliarino, Martina Scauda, Sara Tiengo, Simone Azeglio	Physics-Informed Machine Learning Simulator for Wildfire Propagation.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Alisha Sharma, Kaiyan Shi, Yiling Qiao, Matthew R. Ziemann	Modeling Physically-Consistent, Chaotic Spatiotemporal Dynamics with Echo State Networks.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Pierre-Yves Lagrave, Mathieu Riou	Toward Geometrical Robustness with Hybrid Deep Learning and Differential Invariants Theory.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem	Data-based Discovery of Governing Equations.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Kailai Xu, Eric Darve	ADCME MPI: Distributed Machine Learning for Computational Engineering.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF
25	Carlos Jose Gonzalez Rojas, Andreas Dengel 0001, Mateus Dias Ribeiro	Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations.	AAAI Spring Symposium: MLPS	2021	DBLP BibTeX RDF