Riccardo Barbano

3 papers · 2023–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

ICLR (1) MIDL (1) NeurIPS (1)

Top co-authors

Shreyas Padhy (2) Urszula Julia Komorowska (1) Johannes Leuschner (1) José Miguel Hernández-Lobato (1) Peter Maass (1) Bangti Jin (1) Emile Mathieu (1) David Janz (1) Vincent Dutordoir (1) Kieran Didi (1)

Research topics

Machine Learning (3) Computer Vision (2) Deep Learning (2) Learning Types · Machine Learning (2) Architectures (1) Domain-Specific (1) Generation (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1) Processing (1) Techniques (1)

Keywords

unsupervised learning (1) bayesian inference (1) uncertainty quantification (1) image reconstruction (1) conditional generation (1) laplace approximation (1) singular value decomposition (1) generative model (1) diffusion model (1) inverse problem (1) parameter-efficient fine-tuning (1) sampling method (1) ct reconstruction (1) linear model (1) deep image prior (1)

Papers

DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform NeurIPS 2024 Sampling-based inference for large linear models, with application to linearised Laplace ICLR 2023 SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction MIDL 2023