You can tell mathematicians right now are SO relieved there is no Math Nobel Prize

Opening day with Aasa Feragen DTU Visual Computing and Rianne van den Berg

Anne Scheel Daniël Lakens This is why I argue for institutional repositories w teams that check deposits on submission. TARG Bristol has been sharing data for 10+ years and Library Research Support still occasionally returns deposits with a query about eg do we really need to include a potentially identifying variable.

Oh dear, science reporting… yes, the theorem illustrates that infinity is a surprisingly long time. Ref Woodcock S, Falletta J. A numerical evaluation of the Finite Monkeys Theorem. Franklin Open. 2024. doi.org/10.1016/j.frao…

Excited to share our NeurIPS 2024 Oral, Convolutional Differentiable Logic Gate Networks, leading to a range of inference efficiency records, including inference in only 4 nanoseconds 🏎️. We reduce model sizes by factors of 29x-61x over the SOTA. Paper: arxiv.org/abs/2411.04732

Shape evolution…. We knew it Stefan Sommer

But, have you heard of the convex order? X ≤c Y if E[f(X)]≤E[f(Y)] for all convex f. 𝐂𝐨𝐮𝐩𝐥𝐢𝐧𝐠: this is the same as saying that X,Y cam be represented on the same probability space such that X=E[Y|X] (Strassen, 1965)

Eklund, Lang, Schauer: Guided smoothing and control for diffusion processes arxiv.org/abs/2503.04326 arxiv.org/pdf/2503.04326 arxiv.org/html/2503.04326

Vincent Molin, Axel Ringh, Moritz Schauer, Akash Sharma: Controlled stochastic processes for simulated annealing arxiv.org/abs/2504.08506 arxiv.org/pdf/2504.08506 arxiv.org/html/2504.08506

Check out cool new work from our group in collaboration with Pfizer and AstraZeneca, lead by Julian Cremer and Ross Irwin on FLOWR, a flow-based ligand generation approach, and highly sanitized benchmark dataset, SPINDR, for the SBDD community!

Erik Jansson, Moritz Schauer, Ruben Seyer, Akash Sharma. [math.ST]. Creating non-reversible rejection-free samplers by rebalancing skew-balanced Markov jump processes. arxiv.org/abs/2504.12190

Bayesian Inference in the browser? Yup. With new RxInfer TypeScript SDK, enabling real-time, client-side probabilistic reasoning. Think: adaptive UIs, privacy-first personalization and more. Interested in bringing Bayesian intelligence to the frontend? Let's talk. #RxInfer #WebAI

A paper that started with a tweet, now its submitted: Compositionality in algorithms for smoothing / Moritz Schauer, Frank van der Meulen, Andi Q. Wang arxiv.org/abs/2303.13865

A friend of mine says that Twitter has a dehumanizing effect on a person - it sharpens your wit but hollows out your soul. For some reason, it has the opposite effect on me: my soul feels strangely uplifted, but my sense of self…

Registration for this years CHAIR Structured Learning Workshop is open. Speakers include: Klaus Robert Müller, Jens Sjölund, Alex Tong, Jan Stühmer Arnaud Doucet, Marco Cuturi, Marta Betcke, Elena Agliari, Beatriz Seoane, Alessandro Ingrosso, ui.ungpd.com/Events/60bfc7b…

1/4) I am very happy to share our latest work on the information theory of generative diffusion: "Entropic Time Schedulers for Generative Diffusion Models" We find that the conditional entropy offers a natural data-dependent notion of time.

We are looking for someone to join the group as a postdoc to help us with scaling implicit transfer operators. If you are interested in this, please reach out to me through email. Include CV, with publications and brief motivational statement. RTs appreciated!

Sebastiano Grazzi, Giacomo Zanella. [stat.CO]. Parallel computations for Metropolis Markov chains with Picard maps. arxiv.org/abs/2506.09762

Right, you don't need error bars on error bars. Probabilistic uncertainty about uncertainty collapses. This is the “monadic join” in probability. Instead of a coin with random bias p ∼ π, you can flip a coin with the deterministic bias μ. Just take μ = E[p].