George Deligiannidis
24 papers · 2019–2025 · 8 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (31) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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(3)
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generalization bound
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stochastic gradient descent
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kl divergence
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mutual information
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unbiased estimator
(2)
generative model
(2)
variational inference
(2)
denoising diffusion model
(2)
particle filter
(2)
generalisation bound
(2)
u-net architecture
(2)
markov chain monte carlo
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wavelet transform
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supervised learning
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conformal prediction
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optimal transport
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image segmentation
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stochastic gradient
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Papers
Conditioning Diffusions Using Malliavin Calculus
ICML 2025
Generalisation under gradient descent via deterministic PAC-Bayes
ALT 2025
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
COLT 2025
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
ICLR 2024
On the Expected Size of Conformal Prediction Sets
AISTATS 2024
Particle Denoising Diffusion Sampler
ICML 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
JMLR 2024
A Unified Framework for U-Net Design and Analysis
NeurIPS 2023
Generalization Bounds using Data-Dependent Fractal Dimensions
ICML 2023
Wide stochastic networks: Gaussian limit and PAC-Bayesian training
ALT 2023
A Continuous Time Framework for Discrete Denoising Models
NeurIPS 2022
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
NeurIPS 2022
Chained generalisation bounds
COLT 2022
Conditionally Gaussian PAC-Bayes
AISTATS 2022
Conditional simulation using diffusion Schrödinger bridges
UAI 2022
Neural score matching for high-dimensional causal inference
AISTATS 2022
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
ICML 2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
NeurIPS 2021
Stable ResNet
AISTATS 2021
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
NeurIPS 2020
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
ICML 2020
Bernoulli Race Particle Filters
AISTATS 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
ICML 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings
AISTATS 2019