George Deligiannidis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 47

Top Topics

Diffusion Model

Generalization Bounds

Causal Inference

Top Venues

Publications

Guneet S. Dhillon, George Deligiannidis, Tom Rainforth
On the Expected Size of Conformal Prediction Sets. AISTATS (2024)
Samuel Howard, George Deligiannidis, Patrick Rebeschini, James Thornton
Differentiable Cost-Parameterized Monge Map Estimators. CoRR (2024)
Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. CoRR (2024)
Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
Particle Denoising Diffusion Sampler. CoRR (2024)
Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR (2024)
Joe Benton, George Deligiannidis, Arnaud Doucet
Error Bounds for Flow Matching Methods. Trans. Mach. Learn. Res. 2024 (2024)
Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR (2023)
Eugenio Clerico, George Deligiannidis, Arnaud Doucet
Wide stochastic networks: Gaussian limit and PAC-Bayesian training. ALT (2023)
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR (2023)
Benjamin Dupuis, George Deligiannidis, Umut Simsekli
Generalization Bounds using Data-Dependent Fractal Dimensions. ICML (2023)
Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
A Unified Framework for U-Net Design and Analysis. NeurIPS (2023)
Guneet S. Dhillon, George Deligiannidis, Tom Rainforth
On the Expected Size of Conformal Prediction Sets. CoRR (2023)
Benjamin Dupuis, George Deligiannidis, Umut Simsekli
Generalization Bounds with Data-dependent Fractal Dimensions. CoRR (2023)
Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed
A Unified Framework for U-Net Design and Analysis. CoRR (2023)
Joe Benton, George Deligiannidis, Arnaud Doucet
Error Bounds for Flow Matching Methods. CoRR (2023)
Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
Conditional simulation using diffusion Schrödinger bridges. UAI (2022)
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
A Continuous Time Framework for Discrete Denoising Models. CoRR (2022)
Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet
A PAC-Bayes bound for deterministic classifiers. CoRR (2022)
Eugenio Clerico, George Deligiannidis, Arnaud Doucet
Conditionally Gaussian PAC-Bayes. AISTATS (2022)
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
Neural score matching for high-dimensional causal inference. AISTATS (2022)
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS (2022)
Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
A Continuous Time Framework for Discrete Denoising Models. NeurIPS (2022)
Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
Conditional Simulation Using Diffusion Schrödinger Bridges. CoRR (2022)
Amitis Shidani, George Deligiannidis, Arnaud Doucet
Ranking in Contextual Multi-Armed Bandits. CoRR (2022)
Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet
Chained Generalisation Bounds. CoRR (2022)
Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet
Chained generalisation bounds. COLT (2022)
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
From Denoising Diffusions to Denoising Markov Models. CoRR (2022)
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
Neural Score Matching for High-Dimensional Causal Inference. CoRR (2022)
Eugenio Clerico, George Deligiannidis, Arnaud Doucet
Conditional Gaussian PAC-Bayes. CoRR (2021)
Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. CoRR (2021)
Eugenio Clerico, George Deligiannidis, Arnaud Doucet
Wide stochastic networks: Gaussian limit and PAC-Bayesian training. CoRR (2021)
Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. NeurIPS (2021)
Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. ICML (2021)
Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
Stable ResNet. AISTATS (2021)
Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. CoRR (2021)
E. L. Mahdi Khribch, George Deligiannidis, Daniel Paulin
On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework. CoRR (2021)
George Deligiannidis, Valentin De Bortoli, Arnaud Doucet
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure. CoRR (2021)
Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks. CoRR (2020)
Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks. NeurIPS (2020)
Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows. ICML (2020)
George Deligiannidis, S. Maurer, Michael V. Tretyakov
Random walk algorithm for the Dirichlet problem for parabolic integro-differential equation. CoRR (2020)
Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
Stable ResNet. CoRR (2020)
Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob
Unbiased Smoothing using Particle Independent Metropolis-Hastings. AISTATS (2019)
Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ICML (2019)
Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. CoRR (2019)
Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet
Localised Generative Flows. CoRR (2019)
Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis
Bernoulli Race Particle Filters. AISTATS (2019)