Ivan Dokmanić

14 papers · 2019–2025 · 7 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (35) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🏆 Grand Slam 🧬 Topic Evolution 📈 Trend Setter 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (72)

Venues

ICLR (5) NeurIPS (3) JMLR (2) AAAI (1) CVPR (1) ICML (1) UAI (1)

Top co-authors

Maarten de Hoop (4) Konik Kothari (3) Anastasis Kratsios (3) Cheng Shi (3) Michael Puthawala (2) Anadi Chaman (2) Matti Lassas (2) AmirEhsan Khorashadizadeh (2) Liming Pan (2) Valentin Debarnot (2)

Research topics

Deep Learning (11) Machine Learning (11) Architectures (9) Core Methods (7) Optimization & Theory (5) Computer Vision (4) Artificial Intelligence (3) Models (3) Computer Science (2) Mathematics & Optimization (2) Core AI (2) Domain-Specific (2) Learning Types (2) Optimization (2) Techniques (2)

Keywords

generative model (4) graph neural network (3) inverse problem (3) universal approximation (2) neural network (2) image reconstruction (2) random projection (2) injective flow (2) manifold learning (1) optimal transport (1) geometry learning (1) data augmentation (1) link prediction (1) uncertainty quantification (1) compressive sensing (1) wave-based imaging (1) message passing (1) maximum likelihood (1) random walk (1) bayesian inference (1)

Papers

Joint Graph Rewiring and Feature Denoising via Spectral Resonance ICLR 2025 A Graph Dynamics Prior for Relational Inference AAAI 2024 A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression NeurIPS 2023 FunkNN: Neural Interpolation for Functional Generation ICLR 2023 Small Transformers Compute Universal Metric Embeddings JMLR 2023 Globally Injective ReLU Networks JMLR 2022 Neural Link Prediction with Walk Pooling ICLR 2022 Universal Approximation Under Constraints is Possible with Transformers ICLR 2022 Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows ICML 2022 Truly Shift-Invariant Convolutional Neural Networks CVPR 2021 Trumpets: Injective flows for inference and inverse problems UAI 2021 Learning the Geometry of Wave-Based Imaging NeurIPS 2020 Don't take it lightly: Phasing optical random projections with unknown operators NeurIPS 2019 Random mesh projectors for inverse problems ICLR 2019