Dokmanic, Ivan

16 publications

ICLR 2025 Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhägner, Cheng Shi, Ivan Dokmanić

AAAI 2024 A Graph Dynamics Prior for Relational Inference Liming Pan, Cheng Shi, Ivan Dokmanic

NeurIPSW 2024 SeisLM: A Foundation Model for Seismic Waveforms Tianlin Liu, Jannes Münchmeyer, Laura Laurenti, Chris Marone, Maarten V. de Hoop, Ivan Dokmanić

TMLR 2024 WaveBench: Benchmarking Data-Driven Solvers for Linear Wave Propagation PDEs Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanić

NeurIPS 2023 A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, Ivan Dokmanić, David Belius

ICLR 2023 FunkNN: Neural Interpolation for Functional Generation AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot, Ivan Dokmanić

JMLR 2023 Small Transformers Compute Universal Metric Embeddings Anastasis Kratsios, Valentin Debarnot, Ivan Dokmanić

JMLR 2022 Globally Injective ReLU Networks Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanić, Maarten de Hoop

ICLR 2022 Neural Link Prediction with Walk Pooling Liming Pan, Cheng Shi, Ivan Dokmanić

ICLR 2022 Universal Approximation Under Constraints Is Possible with Transformers Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanić

ICML 2022 Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten De Hoop

CVPR 2021 Truly Shift-Invariant Convolutional Neural Networks Anadi Chaman, Ivan Dokmanic

UAI 2021 Trumpets: Injective Flows for Inference and Inverse Problems Konik Kothari, AmirEhsan Khorashadizadeh, Maarten Hoop, Ivan Dokmanić

NeurIPS 2020 Learning the Geometry of Wave-Based Imaging Konik Kothari, Maarten de Hoop, Ivan Dokmanić

NeurIPS 2019 Don't Take It Lightly: Phasing Optical Random Projections with Unknown Operators Sidharth Gupta, Remi Gribonval, Laurent Daudet, Ivan Dokmanić

ICLR 2019 Random Mesh Projectors for Inverse Problems Konik Kothari, Sidharth Gupta, Maarten v. de Hoop, Ivan Dokmanic