| May 23, 2024 |
We have a new preprint on “Markovian Flow Matching” on the arXiv! Check it out here.
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| May 1, 2024 |
Our paper - “Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds” - has also been accepted as a spotlight at ICML 2024!
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| May 1, 2024 |
Our paper - “Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models” - has been accepted as a spotlight at ICML 2024!
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| Jan 19, 2024 |
Our paper - “Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting” - has been accepted to AISTATS 2024!
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| Oct 20, 2023 |
We are organising an exciting workshop at the RSS on Gradient Flows for Sampling, Inference, and Learning. Click here for more details.
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| Sep 21, 2023 |
Our paper - “Learning Rate Free Sampling in Constrained Domains” - has been accepted to NeurIPS 2023!
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| Sep 8, 2023 |
In Feb 2024, I will give an invited talk on parameter-free optimisation on the space of probability measures at ISMP 2024.
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| Aug 14, 2023 |
In Feb 2024, I will give an invited talk on online parameter estimation for interacting particle systems at the SIAM Conference on Uncertainty Quantification.
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| May 24, 2023 |
We have two new preprints up on arXiv! Check them out here and here.
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| May 3, 2023 |
Our paper - “Online Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation” - has been accepted to Stochastic Processes and their Applications.
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| Apr 24, 2023 |
Our paper - “Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates” - has been accepted to ICML 2023!
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| Apr 17, 2023 |
On 9th June I will give a talk about our recent work on coin sampling in the OxCSML seminar series.
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