← Authors

George Deligiannidis

24 papers · 2019–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🀝 Dynamic Duo (16) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (24) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (93)

Conferences

AISTATS (6) ICML (6) NIPS (5) ALT (2) COLT (2) ICLR (1) JMLR (1) UAI (1)

Top co-authors

Arnaud Doucet (16) Eugenio Clerico (5) Valentin De Bortoli (4) Umut Simsekli (4) Fabian Falck (3) Murat A Erdogdu (2) Chris C Holmes (2) Christopher K. I. Williams (2) Joe Benton (2) Rob Cornish (2)

Keywords

generalization bound (6) stochastic gradient descent (4) diffusion model (3) neural network (3) particle filter (2) u-net architecture (2) unbiased estimator (2) generative model (2) markov chain monte carlo (2) variational inference (2) mutual information (2) wavelet transform (1) conformal prediction (1) topological data analysis (1) supervised learning (1) optimal transport (1) image segmentation (1) stochastic gradient (1) density estimation (1) gaussian process (1)

Papers

Conditioning Diffusions Using Malliavin Calculus ICML 2025
Linear Convergence of Diffusion Models Under the Manifold Hypothesis COLT 2025
Generalisation under gradient descent via deterministic PAC-Bayes ALT 2025
On the Expected Size of Conformal Prediction Sets AISTATS 2024
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization ICLR 2024
Particle Denoising Diffusion Sampler ICML 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024
Wide stochastic networks: Gaussian limit and PAC-Bayesian training ALT 2023
Generalization Bounds using Data-Dependent Fractal Dimensions ICML 2023
A Unified Framework for U-Net Design and Analysis NIPS 2023
Conditional simulation using diffusion SchrΓΆdinger bridges UAI 2022
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs NIPS 2022
A Continuous Time Framework for Discrete Denoising Models NIPS 2022
Conditionally Gaussian PAC-Bayes AISTATS 2022
Neural score matching for high-dimensional causal inference AISTATS 2022
Chained generalisation bounds COLT 2022
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms NIPS 2021
Stable ResNet AISTATS 2021
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks NIPS 2020
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows ICML 2020
Unbiased Smoothing using Particle Independent Metropolis-Hastings AISTATS 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019
Bernoulli Race Particle Filters AISTATS 2019