Ivan Dokmanic

Orcid: 0000-0001-7132-5214

According to our database1, Ivan Dokmanic authored at least 91 papers between 2010 and 2024.

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Bibliography

2024
Differentiable Uncalibrated Imaging.
IEEE Trans. Computational Imaging, 2024

GLIMPSE: Generalized Local Imaging with MLPs.
CoRR, 2024

A Graph Dynamics Prior for Relational Inference.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography.
SIAM J. Imaging Sci., September, 2023

Localizing Unsynchronized Sensors With Unknown Sources.
IEEE Trans. Signal Process., 2023

Conditional Injective Flows for Bayesian Imaging.
IEEE Trans. Computational Imaging, 2023

Small Transformers Compute Universal Metric Embeddings.
J. Mach. Learn. Res., 2023

Harpa: High-Rate Phase Association with Travel Time Neural Fields.
CoRR, 2023

A Dynamical Graph Prior for Relational Inference.
CoRR, 2023

A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators.
CoRR, 2023

Injectivity of ReLU networks: perspectives from statistical physics.
CoRR, 2023

Deep Injective Prior for Inverse Scattering.
CoRR, 2023

A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FunkNN: Neural Interpolation for Functional Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Total Least Squares Phase Retrieval.
IEEE Trans. Signal Process., 2022

Learning Multiscale Convolutional Dictionaries for Image Reconstruction.
IEEE Trans. Computational Imaging, 2022

The Fastest $\ell _{1, \infty }$ℓ1, ∞ Prox in the West.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Globally Injective ReLU Networks.
J. Mach. Learn. Res., 2022

Statistical Mechanics of Generalization In Graph Convolution Networks.
CoRR, 2022

Deep Variational Inverse Scattering.
CoRR, 2022

Deep Invertible Approximation of Topologically Rich Maps between Manifolds.
CoRR, 2022

Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering.
CoRR, 2022

Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows.
Proceedings of the International Conference on Machine Learning, 2022

Neural Link Prediction with Walk Pooling.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Universal Approximation Under Constraints is Possible with Transformers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Reconstructing Point Sets From Distance Distributions.
IEEE Trans. Signal Process., 2021

On Procrustes Analysis in Hyperbolic Space.
IEEE Signal Process. Lett., 2021

Trumpets: Injective flows for inference and inverse problems.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Truly Shift-Invariant Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Truly Shift-Equivariant Convolutional Neural Networks with Adaptive Polyphase Upsampling.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Kinetic Euclidean Distance Matrices.
IEEE Trans. Signal Process., 2020

Shapes From Echoes: Uniqueness From Point-to-Plane Distance Matrices.
IEEE Trans. Signal Process., 2020

Solving Complex Quadratic Systems With Full-Rank Random Matrices.
IEEE Trans. Signal Process., 2020

Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning.
CoRR, 2020

Geometry of Comparisons.
CoRR, 2020

Learning the Geometry of Wave-Based Imaging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hyperbolic Distance Matrices.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

3D Unknown View Tomography Via Rotation Invariants.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fast Optical System Identification by Numerical Interferometry.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Permutations Unlabeled Beyond Sampling Unknown.
IEEE Signal Process. Lett., 2019

Concentration of the Frobenius Norm of Generalized Matrix Inverses.
SIAM J. Matrix Anal. Appl., 2019

The fastest 𝓁<sub>1, ∞</sub> prox in the west.
CoRR, 2019

Learning Schatten-Von Neumann Operators.
CoRR, 2019

Don't take it lightly: Phasing optical random projections with unknown operators.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Random mesh projectors for inverse problems.
Proceedings of the 7th International Conference on Learning Representations, 2019

Geometric Invariants for Sparse Unknown View Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2019

On the Move: Localization with Kinetic Euclidean Distance Matrices.
Proceedings of the IEEE International Conference on Acoustics, 2019

Solving Complex Quadratic Equations with Full-rank Random Gaussian Matrices.
Proceedings of the IEEE International Conference on Acoustics, 2019

Multipath-enabled Private Audio with Noise.
Proceedings of the IEEE International Conference on Acoustics, 2019

Distance retrieval from unknown view tomography of 2D point sources.
Proceedings of the Computational Imaging XVII, Burlingame, 2019

2018
Direction of Arrival With One Microphone, a Few LEGOs, and Non-Negative Matrix Factorization.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Concentration of the Frobenius norms of pseudoinverses.
CoRR, 2018

Deep Mesh Projectors for Inverse Problems.
CoRR, 2018

Cocktails, but no Party: Multipath-Enabled Private Audio.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Separake: Source Separation with a Little Help from Echoes.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Pyroomacoustics: A Python Package for Audio Room Simulation and Array Processing Algorithms.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Structure from Sound with Incomplete Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Pyroomacoustics: A Python package for audio room simulations and array processing algorithms.
CoRR, 2017

Beyond Moore-Penrose Part II: The Sparse Pseudoinverse.
CoRR, 2017

Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms.
CoRR, 2017

FRIDA: FRI-based DOA estimation for arbitrary array layouts.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Omnidirectional bats, point-to-plane distances, and the price of uniqueness.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Acoustic DoA Estimation by One Unsophisticated Sensor.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016
Sampling Sparse Signals on the Sphere: Algorithms and Applications.
IEEE Trans. Signal Process., 2016

Look, no Beacons! Optimal All-in-One EchoSLAM.
CoRR, 2016

Inverse Problems with Invariant Multiscale Statistics.
CoRR, 2016

EchoSLAM: Simultaneous localization and mapping with acoustic echoes.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

From acoustic room reconstruction to slam.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Accurate recovery of a specularity from a few samples of the reflectance function.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Listening to Distances and Hearing Shapes - Inverse Problems in Room Acoustics and Beyond.
PhD thesis, 2015

Euclidean Distance Matrices: Essential theory, algorithms, and applications.
IEEE Signal Process. Mag., 2015

Raking the Cocktail Party.
IEEE J. Sel. Top. Signal Process., 2015

Euclidean Distance Matrices: A Short Walk Through Theory, Algorithms and Applications.
CoRR, 2015

Raking echoes in the time domain.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sampling spherical finite rate of innovation signals.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Anhören von Abständen und Hören von Formen: Inverse Probleme in Raumakustik und darüber hinaus.
Proceedings of the Ausgezeichnete Informatikdissertationen 2015, 2015

Relax and unfold: Microphone localization with Euclidean distance matrices.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Single-channel indoor microphone localization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Source localization and tracking in non-convex rooms.
Proceedings of the IEEE International Conference on Acoustics, 2014

Hardware and algorithms for ultrasonic depth imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014

How to localize ten microphones in one finger snap.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
The Fukushima inverse problem.
Proceedings of the IEEE International Conference on Acoustics, 2013

Beyond Moore-Penrose: Sparse pseudoinverse.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Sampling and reconstruction of time-varying atmospheric emissions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Room helps: Acoustic localization with finite elements.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Can one hear the shape of a room: The 2-D polygonal case.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sensor networks for diffusion fields: Detection of sources in space and time.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Efficient approximate scaling of spherical functions in the Fourier domain with generalization to hyperspheres.
IEEE Trans. Signal Process., 2010

Convolution on the n-sphere with application to PDF modeling.
IEEE Trans. Signal Process., 2010


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