SILVar: Single Index Latent Variable Models

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SILVar: Single Index Latent Variable Models

9 May 2017

José M. F. Moura

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Papers citing "SILVar: Single Index Latent Variable Models"

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Title
Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise Augusto Santos Diogo Rente Rui Seabra José M. F. Moura 136 2 0 18 Dec 2023
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise Augusto Santos Diogo Rente Rui Seabra José M. F. Moura 309 6 0 10 Dec 2023
SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels Alexander Moreno Jonathan Mei Luke Walters 186 0 0 15 May 2023
LegendreTron: Uprising Proper Multiclass Loss LearningInternational Conference on Machine Learning (ICML), 2023 Kevin Lam Christian J. Walder S. Penev Richard Nock 262 0 0 27 Jan 2023
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning ApproachAAAI Conference on Artificial Intelligence (AAAI), 2022 Sérgio Machado Anirudh Sridhar P. Gil J. Henriques J. M. F. Moura A. Santos CML 187 2 0 08 Aug 2022
Joint inference of multiple graphs with hidden variables from stationary graph signals Samuel Rey Andrei Buciulea Madeline Navarro Santiago Segarra A. Marques 170 10 0 05 Oct 2021
Supervised Learning: No Loss No CryInternational Conference on Machine Learning (ICML), 2020 Richard Nock A. Menon 163 16 0 10 Feb 2020
Single Index Latent Variable Models for Network Topology InferenceIEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018 Jonathan Mei José M. F. Moura 158 0 0 28 Jun 2018
EigenNetworks Jonathan Mei J. M. F. Moura AI4TS 147 0 0 05 Jun 2018
Discriminative Optimization: Theory and Applications to Computer Vision Problems J. Vongkulbhisal Fernando de la Torre João Paulo Costeira 134 22 0 13 Jul 2017