Publications

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. Spectral Diffusion Processes. 2022 - Submitted (conference).
. Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows. 2022 - Submitted (journal).
. Convergence of denoising diffusion models under the manifold hypothesis. 2022 - Accepted at TMLR (journal).
. Riemannian Diffusion Schrödinger Bridges. 2022 - Accepted at ICML (conference).
. Conditional Simulation Using Diffusion Schrödinger Bridges. 2022 - Accepted at UAI (conference).
. A Continuous Time Framework for Discrete Denoising Models. 2022 - Accepted at Neurips (conference).
. Can Push-forward Generative Models Fit Multimodal Distributions. 2022 - Accepted at Neurips (conference).
. Wavelet Score-Based Generative Modeling. 2022 - Accepted at Neurips (conference).
. Riemannian Score Based Generative Modeling. 2022 - Accepted at Neurips (conference).
. Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling. 2021 - Accepted at NeuRIPS (conference).
. On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent . 2022 - Accepted at JMIV (journal).
. Simulating Diffusion Bridges with Score Matching . 2021 - Preprint
. Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure . 2021 - Submitted (journal).
. Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie. 2021 - Accepted at SIAM Imaging Science(journal).
. Maximum entropy methods for texture synthesis: theory and practice . 2021 - Published in SIAM Journal on Mathematics of Data Science (journal).
. Quantitative Propagation of Chaos for SGD in Wide Neural Networks . 2020 - Accepted at Neural Information Processing Systems (conference).
. Approximate Bayesian Computation with the Sliced-Wasserstein Distance . 2020 - Accepted at International Conference on Acoustics, Speech, and Signal Processing (conference) (Best Student Paper Award).
. Redundancy in Gaussian random fields. 2020 - Published in ESAIM: Probability and Statistics (journal).
. Continuous and Discrete-Time Analysis of Stochastic Gradient Descent for Convex and Non-Convex Functions. 2021 - Accepted at Conference on Learning Theory (conference).
. Patch redundancy in images: a statistical testing framework and some applications. 2019 - Published in SIAM Journal on Imaging Science (journal).
. Macrocanonical models for texture synthesis. 2019 - Accepted at Scale Space and Variational Methods in Computer Vision (conference).
. Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets. 2018 - Published in IET (journal).