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ORCIDGeorge Deligiannidis
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2020 – today
- 2024
[j1]Joe Benton, George Deligiannidis, Arnaud Doucet:
Error Bounds for Flow Matching Methods. Trans. Mach. Learn. Res. 2024 (2024)- [c20]Guneet S. Dhillon, George Deligiannidis, Tom Rainforth:
On the Expected Size of Conformal Prediction Sets. AISTATS 2024: 1549-1557 - [c19]Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis:
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR 2024 - [c18]Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Particle Denoising Diffusion Sampler. ICML 2024 - [i28]Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis
, Arnaud Doucet:
Particle Denoising Diffusion Sampler. CoRR abs/2402.06320 (2024) - [i27]Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli:
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. CoRR abs/2404.17442 (2024) - [i26]Samuel Howard, George Deligiannidis, Patrick Rebeschini, James Thornton:
Differentiable Cost-Parameterized Monge Map Estimators. CoRR abs/2406.08399 (2024) - [i25]Iskander Azangulov, George Deligiannidis, Judith Rousseau:
Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions. CoRR abs/2409.18804 (2024) - 2023
- [c17]Eugenio Clerico, George Deligiannidis, Arnaud Doucet:
Wide stochastic networks: Gaussian limit and PAC-Bayesian training. ALT 2023: 447-470 - [c16]Benjamin Dupuis, George Deligiannidis, Umut Simsekli:
Generalization Bounds using Data-Dependent Fractal Dimensions. ICML 2023: 8922-8968 - [c15]Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed:
A Unified Framework for U-Net Design and Analysis. NeurIPS 2023 - [i24]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 abs/2301.08187 (2023) - [i23]Benjamin Dupuis, George Deligiannidis, Umut Simsekli:
Generalization Bounds with Data-dependent Fractal Dimensions. CoRR abs/2302.02766 (2023) - [i22]Joe Benton, George Deligiannidis, Arnaud Doucet:
Error Bounds for Flow Matching Methods. CoRR abs/2305.16860 (2023) - [i21]Christopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed:
A Unified Framework for U-Net Design and Analysis. CoRR abs/2305.19638 (2023) - [i20]Guneet S. Dhillon, George Deligiannidis, Tom Rainforth:
On the Expected Size of Conformal Prediction Sets. CoRR abs/2306.07254 (2023) - [i19]Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis:
Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR abs/2308.03686 (2023) - 2022
- [c14]Eugenio Clerico, George Deligiannidis, Arnaud Doucet:
Conditionally Gaussian PAC-Bayes. AISTATS 2022: 2311-2329 - [c13]Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes:
Neural score matching for high-dimensional causal inference. AISTATS 2022: 7076-7110 - [c12]Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet:
Chained generalisation bounds. COLT 2022: 4212-4257 - [c11]Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet:
A Continuous Time Framework for Discrete Denoising Models. NeurIPS 2022 - [c10]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 - [c9]Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Conditional simulation using diffusion Schrödinger bridges. UAI 2022: 1792-1802 - [i18]Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Conditional Simulation Using Diffusion Schrödinger Bridges. CoRR abs/2202.13460 (2022) - [i17]Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes:
Neural Score Matching for High-Dimensional Causal Inference. CoRR abs/2203.00554 (2022) - [i16]Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet:
Chained Generalisation Bounds. CoRR abs/2203.00977 (2022) - [i15]Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet:
A Continuous Time Framework for Discrete Denoising Models. CoRR abs/2205.14987 (2022) - [i14]Amitis Shidani, George Deligiannidis, Arnaud Doucet:
Ranking in Contextual Multi-Armed Bandits. CoRR abs/2207.00109 (2022) - [i13]Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet:
A PAC-Bayes bound for deterministic classifiers. CoRR abs/2209.02525 (2022) - [i12]Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
From Denoising Diffusions to Denoising Markov Models. CoRR abs/2211.03595 (2022) - 2021
- [c8]Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau:
Stable ResNet. AISTATS 2021: 1324-1332 - [c7]Adrien Corenflos, James Thornton, George Deligiannidis, Arnaud Doucet:
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. ICML 2021: 2100-2111 - [c6]Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu:
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. NeurIPS 2021: 18774-18788 - [i11]Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis:
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. CoRR abs/2102.07850 (2021) - [i10]Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu:
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. CoRR abs/2106.04881 (2021) - [i9]Eugenio Clerico, George Deligiannidis, Arnaud Doucet:
Wide stochastic networks: Gaussian limit and PAC-Bayesian training. CoRR abs/2106.09798 (2021) - [i8]George Deligiannidis, Valentin De Bortoli, Arnaud Doucet:
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure. CoRR abs/2108.08129 (2021) - [i7]Eugenio Clerico, George Deligiannidis, Arnaud Doucet:
Conditional Gaussian PAC-Bayes. CoRR abs/2110.11886 (2021) - [i6]E. L. Mahdi Khribch, George Deligiannidis, Daniel Paulin:
On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework. CoRR abs/2112.00565 (2021) - 2020
- [c5]Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet:
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows. ICML 2020: 2133-2143 - [c4]Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu:
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks. NeurIPS 2020 - [i5]George Deligiannidis, S. Maurer, Michael V. Tretyakov:
Random walk algorithm for the Dirichlet problem for parabolic integro-differential equation. CoRR abs/2001.05531 (2020) - [i4]Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu:
Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks. CoRR abs/2006.09313 (2020) - [i3]Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau:
Stable ResNet. CoRR abs/2010.12859 (2020)
2010 – 2019
- 2019
- [c3]Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis:
Bernoulli Race Particle Filters. AISTATS 2019: 2350-2358 - [c2]Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob:
Unbiased Smoothing using Particle Independent Metropolis-Hastings. AISTATS 2019: 2378-2387 - [c1]Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet:
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ICML 2019: 1351-1360 - [i2]Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet:
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. CoRR abs/1901.09881 (2019) - [i1]Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet:
Localised Generative Flows. CoRR abs/1909.13833 (2019)
Coauthor Index
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last updated on 2024-10-22 20:11 CEST by the dblp team
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