George Deligiannidis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
6
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ALT | Generalisation under gradient descent via deterministic PAC-Bayes. | Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet |
| 2025 | COLT | Linear Convergence of Diffusion Models Under the Manifold Hypothesis. | Peter Potaptchik, Iskander Azangulov, George Deligiannidis |
| 2025 | ICML | Conditioning Diffusions Using Malliavin Calculus. | Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nsken |
| 2024 | AISTATS | On the Expected Size of Conformal Prediction Sets. | Guneet S. Dhillon, George Deligiannidis, Tom Rainforth |
| 2024 | ICLR | Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. | Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis |
| 2024 | ICML | Particle Denoising Diffusion Sampler. | Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet |
| 2023 | ALT | Wide stochastic networks: Gaussian limit and PAC-Bayesian training. | Eugenio Clerico, George Deligiannidis, Arnaud Doucet |
| 2023 | ICML | Generalization Bounds using Data-Dependent Fractal Dimensions. | Benjamin Dupuis, George Deligiannidis, Umut Simsekli |
| 2022 | AISTATS | Conditionally Gaussian PAC-Bayes. | Eugenio Clerico, George Deligiannidis, Arnaud Doucet |
| 2022 | AISTATS | Neural score matching for high-dimensional causal inference. | Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes |
| 2022 | COLT | Chained generalisation bounds. | Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet |
| 2022 | UAI | Conditional simulation using diffusion Schrdinger bridges. | Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet |
| 2021 | AISTATS | Stable ResNet. | Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau |
| 2021 | ICML | Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. | Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet |
| 2020 | ICML | Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows. | Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet |
| 2019 | AISTATS | Unbiased Smoothing using Particle Independent Metropolis-Hastings. | Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob |
| 2019 | AISTATS | Bernoulli Race Particle Filters. | Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis |
| 2019 | ICML | Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. | Robert Cornish, Paul Vanetti, Alexandre Bouchard-Ct, George Deligiannidis, Arnaud Doucet |