Conor Hassan
@HassanConor
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RT @jefrankle: Incredible accomplishment. Goalpost moving by the community further highlights the accomplishment. But also useful critical….
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RT @ELLISforEurope: 📢 Present your NeurIPS paper in Europe!. Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, poste….
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RT @TheZachMueller: Running Distributed Scripts. When dealing with running python scripts during distributed training, doing `python myscri….
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RT @FelineAutomaton: A great pleasure to crash two Bayesian statistics conferences with a dose of diffusion wisdom — last week in Singapore….
newton.ac.uk
This workshop focuses on leveraging modern machine learning to accelerate statistical inference, experimental design, and scientific discovery. It features...
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RT @AcerbiLuigi: New blog post!. You can train a neural network to *just do things* -- such as *predict the optimum of a function*. But how….
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RT @FEijkelboom: Generative models excel at images and text, but tabular data remains a challenge.🤔. We introduce 🐈 TabbyFlow 🐈 - a variati….
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RT @LucaAmb: 1/2) It's finally out on Arxiv: Feedback guidance of generative diffusion models!. We derived an adaptive guidance methods fro….
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RT @ArthurGretton: Composite Goodness-of-fit Tests with Kernels, now out in JMLR!. Test if your distribution comes….
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RT @andrewgwils: AI benchmarking culture is completely out of control. Tables with dozens of methods, datasets, and bold numbers, trying to….
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RT @fx_briol: Videos from the recent UCL workshop on ‘Advances in Post-Bayesian methods’ are now available on YouTube! . Check these out if….
youtube.com
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RT @fx_briol: New ICML 2025 paper! Kernel mean embeddings are a super useful tool for representing and comparing d….
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RT @crisbodnar: Almost exactly two years after we started working on this at Microsoft, I am happy to see the Aurora foundation being publi….
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RT @BlackHC: I want to share my latest (very short) blog post: "Active Learning vs. Data Filtering: Selection vs. Rejection.". What is the….
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RT @AcerbiLuigi: @DaolangHuang will be presenting our work tomorrow on pretrained/amortized inference transformers for all sorts of tasks,….
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RT @AcerbiLuigi: 1/ Did they fool you into thinking that variational inference is just "the lesser way" of doing Bayesian inference? Please….
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RT @AcerbiLuigi: 10/10 . Read the full paper #AABI2025 Proceedings Track!. Work by Chengkun Li, Bobby Huggins, Petrus Mikkola, and yours tr….
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RT @yjelid: I'll be at ICLR this week, hit me up if you want to discuss diffusion models and guidance!. We'll be presenting .
arxiv.org
Diffusion models have recently shown considerable potential in solving Bayesian inverse problems when used as priors. However, sampling from the resulting denoising posterior distributions remains...
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