George Deligiannidis

64 papers A* 14A 7B 2Journal 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Drift Estimation for Stochastic Differential Equations with Denoising Diffusion Models. CoRR Marcos Tapia Costa, Nikolas Kantas, George Deligiannidis
2025	J	`jnl`	Adaptive Diffusion Guidance via Stochastic Optimal Control. CoRR Iskander Azangulov, Peter Potaptchik, Qinyu Li, Eddie Aamari, George Deligiannidis, Judith Rousseau
2025	J	`jnl`	Beyond Real Data: Synthetic Data through the Lens of Regularization. CoRR Amitis Shidani, Tyler Farghly, Yang Sun, Habib Ganjgahi, George Deligiannidis
2025	A*	`conf`	Conditioning Diffusions Using Malliavin Calculus. ICML Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nüsken
2025	J	`jnl`	Conditioning Diffusions Using Malliavin Calculus. CoRR Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nüsken
2025	J	`jnl`	Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive. CoRR Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach
2025	B	`conf`	Generalisation under gradient descent via deterministic PAC-Bayes. ALT Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet
2025	J	`jnl`	Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis. CoRR Tyler Farghly, Patrick Rebeschini, George Deligiannidis, Arnaud Doucet
2025	A*	`conf`	Linear Convergence of Diffusion Models Under the Manifold Hypothesis. COLT Peter Potaptchik, Iskander Azangulov, George Deligiannidis
2025	J	`jnl`	Permutation-Invariant Spectral Learning via Dyson Diffusion. CoRR Tassilo Schwarz, Cai Dieball, Constantin Kogler, Kevin Lam, Renaud Lambiotte, Arnaud Doucet, Aljaz Godec, George Deligiannidis
2025	J	`jnl`	Rao-Blackwellised Reparameterisation Gradients. CoRR Kevin Lam, Thang Bui, George Deligiannidis, Yee Whye Teh
2025	J	`jnl`	Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres. CoRR Samuel Howard, Peter Potaptchik, George Deligiannidis
2025	J	`jnl`	Understanding the Generalization Error of Markov algorithms through Poissonization. CoRR Benjamin Dupuis, Maxime Haddouche, George Deligiannidis, Umut Simsekli
2024	J	`jnl`	Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions. CoRR Iskander Azangulov, George Deligiannidis, Judith Rousseau
2024	J	`jnl`	Differentiable Cost-Parameterized Monge Map Estimators. CoRR Samuel Howard, George Deligiannidis, Patrick Rebeschini, James Thornton
2024	J	`jnl`	Error Bounds for Flow Matching Methods. Trans. Mach. Learn. Res. Joe Benton, George Deligiannidis, Arnaud Doucet
2024	J	`jnl`	Linear Convergence of Diffusion Models Under the Manifold Hypothesis. CoRR Peter Potaptchik, Iskander Azangulov, George Deligiannidis
2024	A*	`conf`	Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
2024	A	`conf`	On the Expected Size of Conformal Prediction Sets. AISTATS Guneet S. Dhillon, George Deligiannidis, Tom Rainforth
2024	A*	`conf`	Particle Denoising Diffusion Sampler. ICML Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2024	J	`jnl`	Particle Denoising Diffusion Sampler. CoRR Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2024	J	`jnl`	Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. CoRR Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli
2024	J	`jnl`	Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. J. Mach. Learn. Res. Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli
2023	J	`jnl`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2023	A*	`conf`	A Unified Framework for U-Net Design and Analysis. NeurIPS Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
2023	J	`jnl`	A Unified Framework for U-Net Design and Analysis. CoRR Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
2023	J	`jnl`	Error Bounds for Flow Matching Methods. CoRR Joe Benton, George Deligiannidis, Arnaud Doucet
2023	A*	`conf`	Generalization Bounds using Data-Dependent Fractal Dimensions. ICML Benjamin Dupuis, George Deligiannidis, Umut Simsekli
2023	J	`jnl`	Generalization Bounds with Data-dependent Fractal Dimensions. CoRR Benjamin Dupuis, George Deligiannidis, Umut Simsekli
2023	J	`jnl`	Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
2023	J	`jnl`	On the Expected Size of Conformal Prediction Sets. CoRR Guneet S. Dhillon, George Deligiannidis, Tom Rainforth
2023	B	`conf`	Wide stochastic networks: Gaussian limit and PAC-Bayesian training. ALT Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2022	A*	`conf`	A Continuous Time Framework for Discrete Denoising Models. NeurIPS Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
2022	J	`jnl`	A Continuous Time Framework for Discrete Denoising Models. CoRR Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
2022	A*	`conf`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2022	J	`jnl`	A PAC-Bayes bound for deterministic classifiers. CoRR Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet
2022	J	`jnl`	Chained Generalisation Bounds. CoRR Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet
2022	A*	`conf`	Chained generalisation bounds. COLT Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet
2022	J	`jnl`	Conditional Simulation Using Diffusion Schrödinger Bridges. CoRR Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2022	A	`conf`	Conditional simulation using diffusion Schrödinger bridges. UAI Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2022	A	`conf`	Conditionally Gaussian PAC-Bayes. AISTATS Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2022	J	`jnl`	From Denoising Diffusions to Denoising Markov Models. CoRR Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
2022	J	`jnl`	Neural Score Matching for High-Dimensional Causal Inference. CoRR Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
2022	A	`conf`	Neural score matching for high-dimensional causal inference. AISTATS Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
2022	J	`jnl`	Ranking in Contextual Multi-Armed Bandits. CoRR Amitis Shidani, George Deligiannidis, Arnaud Doucet
2021	J	`jnl`	Conditional Gaussian PAC-Bayes. CoRR Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2021	A*	`conf`	Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. ICML Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet
2021	J	`jnl`	Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. CoRR Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis
2021	A*	`conf`	Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. NeurIPS Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu
2021	J	`jnl`	Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. CoRR Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu
2021	J	`jnl`	On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework. CoRR E. L. Mahdi Khribch, George Deligiannidis, Daniel Paulin
2021	J	`jnl`	Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure. CoRR George Deligiannidis, Valentin De Bortoli, Arnaud Doucet
2021	A	`conf`	Stable ResNet. AISTATS Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
2021	J	`jnl`	Wide stochastic networks: Gaussian limit and PAC-Bayesian training. CoRR Eugenio Clerico, George Deligiannidis, Arnaud Doucet
2020	A*	`conf`	Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks. NeurIPS Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
2020	J	`jnl`	Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks. CoRR Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
2020	J	`jnl`	Random walk algorithm for the Dirichlet problem for parabolic integro-differential equation. CoRR George Deligiannidis, S. Maurer, Michael V. Tretyakov
2020	A*	`conf`	Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows. ICML Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet
2020	J	`jnl`	Stable ResNet. CoRR Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
2019	A	`conf`	Bernoulli Race Particle Filters. AISTATS Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis
2019	J	`jnl`	Localised Generative Flows. CoRR Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet
2019	A*	`conf`	Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ICML Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
2019	J	`jnl`	Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. CoRR Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
2019	A	`conf`	Unbiased Smoothing using Particle Independent Metropolis-Hastings. AISTATS Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob