| Euclidean Distance Matrices: Essential Theory, Algorithms and Applications I Dokmanic, R Parhizkar, J Ranieri, M Vetterli IEEE Signal Processing Magazine, 2015 | 823 | 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 | 816 | 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 | 339 | 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 | 284 | 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 | 132 | 2011 |
| Truly shift-invariant convolutional neural networks A Chaman, I Dokmanic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 123 | 2021 |
| Neural Link Prediction with Walk Pooling L Pan, C Shi, I Dokmanić Tenth International Conference on Learning Representations (ICLR), 2022 | 91 | 2022 |
| EchoSLAM: Simultaneous localization and mapping with acoustic echoes M Kreković, I Dokmanić, M Vetterli 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 91 | 2016 |
| Trumpets: Injective flows for inference and inverse problems K Kothari, AE Khorashadizadeh, M de Hoop, I Dokmanić Uncertainty in Artificial Intelligence, 1269-1278, 2021 | 70 | 2021 |
| Raking the Cocktail Party I Dokmanic, R Scheibler, M Vetterli IEEE Journal of Selected Topics in Signal Processing, 2015 | 66 | 2015 |
| Room helps: Acoustic localization with finite elements I Dokmanić, M Vetterli 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 52 | 2012 |
| Universal Approximation Under Constraints is Possible with Transformers A Kratsios, B Zamanlooy, T Liu, I Dokmanić Tenth International Conference on Learning Representations (ICLR), 2022 | 47 | 2022 |
| From acoustic room reconstruction to SLAM I Dokmanić, L Daudet, M Vetterli 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 46 | 2016 |
| Kinetic Euclidean Distance Matrices P Tabaghi, I Dokmanić, M Vetterli IEEE Transactions on Signal Processing 68, 452-465, 2019 | 45 | 2019 |
| Learning Multiscale Convolutional Dictionaries for Image Reconstruction T Liu, A Chaman, D Belius, I Dokmanić IEEE Transactions on Computational Imaging, 2022 | 44 | 2022 |
| 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 | 43 | 2022 |
| Beyond Moore–Penrose: Sparse Pseudoinverse I Dokmanić, M Kolundžija, M Vetterli 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 43 | 2013 |
| Parsimonious seismic tomography with Poisson Voronoi projections: methodology and validation H Fang, RD Van Der Hilst, MV de Hoop, K Kothari, S Gupta, I Dokmanić Seismological Research Letters 91 (1), 343-355, 2020 | 41 | 2020 |
| Single-Channel Indoor Microphone Localization R Parhizkar, I Dokmanic, M Vetterli IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2014 | 41 | 2014 |
| Hyperbolic distance matrices P Tabaghi, I Dokmanić Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 40 | 2020 |
martin vetterliProfessor of computer and communication science, Ecole Polytechnique Federale LausanneVerified email at epfl.ch
