Ivan Dokmanić

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martin vetterliProfessor of computer and communication science, Ecole Polytechnique Federale LausannePatvirtintas el. paštas epfl.ch
Maarten de HoopRice UniversityPatvirtintas el. paštas rice.edu
Juri RanieriGooglePatvirtintas el. paštas google.com
Reza ParhizkarSchool of Computer and Communication Sciences, EPFLPatvirtintas el. paštas epfl.ch
Robin ScheiblerGoogle DeepmindPatvirtintas el. paštas google.com
Konik KothariUniversity of Illinois at Urbana ChampaignPatvirtintas el. paštas illinois.edu
AmirEhsan KhorashadizadehPSI & EPFLPatvirtintas el. paštas psi.ch
Sidharth GuptaUniversity of Illinois at Urbana-Champaign (UIUC)Patvirtintas el. paštas illinois.edu
Yue M. LuGordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard UniversityPatvirtintas el. paštas seas.harvard.edu
puoya tabaghiUniversity of California San DiegoPatvirtintas el. paštas ucsd.edu
Anadi ChamanSenior AI research scientist, Cognex CorporationPatvirtintas el. paštas cognex.com
Anastasis KratsiosMcMaster University and Vector InstitutePatvirtintas el. paštas mcmaster.ca
Eric BezzamEPFLPatvirtintas el. paštas epfl.ch
Shuai HuangAssistant Professor, Auburn UniversityPatvirtintas el. paštas auburn.edu
Tianlin LiuGoogle DeepMindPatvirtintas el. paštas google.com
Laurent DaudetProfessor of physics, Paris Cité University / Co-CEO at LightOnPatvirtintas el. paštas espci.fr
Matti LassasProfessor of applied mathematics, University of Helsinki, FinlandPatvirtintas el. paštas helsinki.fi
Rémi GribonvalInria & ENS de LyonPatvirtintas el. paštas ens-lyon.fr
Liming Pan 潘黎明University of Science and Technology of ChinaPatvirtintas el. paštas ustc.edu.cn
Mihailo KolundzijaScientist, EPFLPatvirtintas el. paštas epfl.ch

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Ivan Dokmanić

Associate Professor, Department of Mathematics and Computer Science, University of Basel

Patvirtintas el. paštas illinois.edu - Pagrindinis puslapis

Signal Processing Machine Learning Inverse Problems


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Euclidean Distance Matrices: Essential Theory, Algorithms and Applications I Dokmanic, R Parhizkar, J Ranieri, M Vetterli IEEE Signal Processing Magazine, 2015	704	2015
Pyroomacoustics: A python package for audio room simulation and array processing algorithms R Scheibler, E Bezzam, I Dokmanić 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018	659	2018
Acoustic echoes reveal room shape I Dokmanić, R Parhizkar, A Walther, YM Lu, M Vetterli Proceedings of the National Academy of Sciences 110 (30), 12186-12191, 2013	321	2013
Metals in proteins: correlation between the metal-ion type, coordination number and the amino-acid residues involved in the coordination I Dokmanić, M Šikić, S Tomić Biological Crystallography 64 (3), 257-263, 2008	270	2008
Can one hear the shape of a room: The 2-D polygonal case I Dokmanić, YM Lu, M Vetterli 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011	124	2011
Truly shift-invariant convolutional neural networks A Chaman, I Dokmanic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	97	2021
EchoSLAM: Simultaneous localization and mapping with acoustic echoes M Kreković, I Dokmanić, M Vetterli 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016	87	2016
Neural Link Prediction with Walk Pooling L Pan, C Shi, I Dokmanić Tenth International Conference on Learning Representations (ICLR), 2022	76	2022
Trumpets: Injective flows for inference and inverse problems K Kothari, AE Khorashadizadeh, M de Hoop, I Dokmanić Uncertainty in Artificial Intelligence, 1269-1278, 2021	68	2021
Raking the Cocktail Party I Dokmanic, R Scheibler, M Vetterli IEEE Journal of Selected Topics in Signal Processing, 2015	65	2015
Room helps: Acoustic localization with finite elements I Dokmanić, M Vetterli 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012	52	2012
From acoustic room reconstruction to SLAM I Dokmanić, L Daudet, M Vetterli 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016	44	2016
Kinetic Euclidean Distance Matrices P Tabaghi, I Dokmanić, M Vetterli IEEE Transactions on Signal Processing 68, 452-465, 2019	41	2019
Globally Injective ReLU Networks M Puthawala, K Kothari, M Lassas, I Dokmanić, M de Hoop Journal of Machine Learning Research 23 (105), 1-55, 2022	38	2022
Single-Channel Indoor Microphone Localization R Parhizkar, I Dokmanic, M Vetterli IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2014	37	2014
Optical touch tomography J Piot, M Kolundzija, D Korchagin, I Dokmanic, M Vetterli, O Drumm US Patent 9,092,091, 2015	36	2015
Universal Approximation Under Constraints is Possible with Transformers A Kratsios, B Zamanlooy, T Liu, I Dokmanić Tenth International Conference on Learning Representations (ICLR), 2022	35	2022
Learning Multiscale Convolutional Dictionaries for Image Reconstruction T Liu, A Chaman, D Belius, I Dokmanić IEEE Transactions on Computational Imaging, 2022	35*	2022
Beyond moore-penrose: Sparse pseudoinverse I Dokmanić, M Kolundžija, M Vetterli 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	35	2013
Hyperbolic distance matrices P Tabaghi, I Dokmanić Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	34	2020

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