Tootfinder

Strong, informative, compelling, narrative from a woman who fell into the anti-vaxxer whirlpool and then escaped it: https://macleans.ca/longforms/confessions-of-an-ex-anti-vaxxer/

What an amazing story:
Confessions of an Ex-Anti-Vaxxer
#antivaxmovement isn’t…

Trump administration to help share new HIV drug with impacted nations (Adam Taylor/Washington Post)
https://www.washingtonpost.com/national-security/2025/09/04/trump-hiv-aids-pepfar-lenacapavir-gilead/
http://www.memeorandum.com/250904/p146#a250904p146

Midi, which offers virtual care for women and is developing an AI search engine for health info, raised a $50M Series C, bringing its total funding to ~$150M (Rebecca Torrence/Business Insider)
https://www.businessinsider.com/womens-health-st…

Midi Health raises $50 million in funding as the menopause startup bets on longevity and AI
Midi's Series C raise comes as the startup's menopause care business surges. The company is now posting a $150 million revenue run rate.

Exponential ergodicity of mean-field Langevin dynamics by synchronous coupling
Mohamed Alfaki Aboubacrine Assadek (MATHSTIC, LAREMA)
https://arxiv.org/abs/2509.03124 https://

Exponential ergodicity of mean-field Langevin dynamics by synchronous coupling
As an example of the nonlinear Fokker-Planck equation, the mean field Langevin dynamics recently attracts attention due to its connection to (noisy) gradient descent on infinitely wide neural networks in the mean field regime, and hence the convergence property of the dynamics is of great theoretical interest. In this paper, In the continuity of [1, 2], we are interested by the long-time behavior and uniform in time propagation of chaos by synchronous coupling for mean-field Langevin dynamics (…

Flatness-Aware Stochastic Gradient Langevin Dynamics
Stefano Bruno, Youngsik Hwang, Jaehyeon An, Sotirios Sabanis, Dong-Young Lim
https://arxiv.org/abs/2510.02174 https://

Flatness-Aware Stochastic Gradient Langevin Dynamics
Generalization in deep learning is closely tied to the pursuit of flat minima in the loss landscape, yet classical Stochastic Gradient Langevin Dynamics (SGLD) offers no mechanism to bias its dynamics toward such low-curvature solutions. This work introduces Flatness-Aware Stochastic Gradient Langevin Dynamics (fSGLD), designed to efficiently and provably seek flat minima in high-dimensional nonconvex optimization problems. At each iteration, fSGLD uses the stochastic gradient evaluated at para…

An explicit splitting SAV scheme for the kinetic Langevin dynamics
Lei Dai, Yingsong Jiang, Xiaojie Wang
https://arxiv.org/abs/2509.04251 https://arxiv.org…

An explicit splitting SAV scheme for the kinetic Langevin dynamics
The kinetic Langevin dynamics finds diverse applications in various disciplines such as molecular dynamics and Hamiltonian Monte Carlo sampling. In this paper, a novel splitting scalar auxiliary variable (SSAV) scheme is proposed for the dynamics, where the gradient of the potential $U$ is possibly non-globally Lipschitz continuous with superlinear growth. As an explicit scheme, the SSAV method is efficient, robust and is able to reproduce the energy structure of the original dynamics. By an en…

🇺🇦 #NowPlaying on KEXP's #DriveTime
Lance Ferguson:
🎵 Could Heaven Ever Be Like This
#LanceFerguson
https://lanceferguson.bandcamp.com/track/could-heaven-ever-be-like-this
https://open.spotify.com/track/0ZWA9Nij9LXHHQxBjTwEjj

Simulation-based Inference via Langevin Dynamics with Score Matching
Haoyu Jiang, Yuexi Wang, Yun Yang
https://arxiv.org/abs/2509.03853 https://arxiv.org/p…

Simulation-based Inference via Langevin Dynamics with Score Matching
Simulation-based inference (SBI) enables Bayesian analysis when the likelihood is intractable but model simulations are available. Recent advances in statistics and machine learning, including Approximate Bayesian Computation and deep generative models, have expanded the applicability of SBI, yet these methods often face challenges in moderate to high-dimensional parameter spaces. Motivated by the success of gradient-based Monte Carlo methods in Bayesian sampling, we propose a novel SBI method …

NATO-Generalsekretär warnt vor Duo China-Russland
Der Westen muss sich nach Ansicht von NATO-Generalsekretär Mark Rutte auf eine andauernde Bedrohung durch Russland und China einstellen. Beide Staaten würden ihre verteidigungsindustrielle Zusammenarbeit auf ein beispielloses Niveau steigern. "Sie bereiten sich auf eine langfristige Konfrontation vor", mahnte der Niederländer auf einer Sicherheitskonferenz in Prag.
Russland u…
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Ukraine-Liveblog: ++ "Koalition der Willigen" beginnt mit Beratungen ++
Die sogenannte "Koalition der Willigen" berät erneut über mögliche Sicherheitsgarantien für die Ukraine. Ein Thema, bei dem Russland aus Sicht von NATO-Chef Rutte nichts mitzureden hat. Alle Entwicklungen im Liveblog.