Ivan Dokmanić
14 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (6)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(7)
🏆
Grand Slam
📈
Trend Setter
🗃️
Keyword Collector
(53)
💎
Century Club
(14)
🔥
Unstoppable
(7)
Conferences
ICLR (5)
NIPS (3)
JMLR (2)
AAAI (1)
CVPR (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
generative model
(3)
neural network
(2)
inverse problem
(2)
injective flow
(2)
transfer learning
(1)
bayesian inference
(1)
wave-based imaging
(1)
optimal transport
(1)
manifold learning
(1)
data augmentation
(1)
universal approximation
(1)
image reconstruction
(1)
neural architecture
(1)
maximum likelihood
(1)
kernel ridge regression
(1)
uncertainty quantification
(1)
probability density
(1)
graph topology
(1)
phase retrieval
(1)
message passing
(1)
Papers
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
ICLR 2025
A Graph Dynamics Prior for Relational Inference
AAAI 2024
Small Transformers Compute Universal Metric Embeddings
JMLR 2023
FunkNN: Neural Interpolation for Functional Generation
ICLR 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
NIPS 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
Trumpets: Injective flows for inference and inverse problems
UAI 2021
Truly Shift-Invariant Convolutional Neural Networks
CVPR 2021
Learning the Geometry of Wave-Based Imaging
NIPS 2020
Random mesh projectors for inverse problems
ICLR 2019
Don't take it lightly: Phasing optical random projections with unknown operators
NIPS 2019