Will Stein
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TASER: Task-Aware Stein Regularisation for Geometry-Driven Robustness
Announce Type: new Abstract: Modern deep networks remain fragile under distribution shift and adversarial perturbations, often due to excessive or poorly structured input sensitivity. We introduce TASER (Task-Aware Stein Regularisation), a training-time regularisation framework derived from Langevin Stein operators. By penalising pointwise Stein residuals under the training distribution, TASER encourages geometric compatibility between predictors and data density, inducing anisotropic,...
Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials
arXiv:2606.04100v1 Announce Type: new Abstract: Machine learning interatomic potentials (MLIPs) enable efficient and accurate atomistic simulations but depend critically on the quality and diversity of the training data. We introduce Stein kernelized molecular dynamics (SKMD), an enhanced sampling method that uses interacting particle dynamics to acquire informative training configurations for the active learning and fine-tuning of MLIPs. SKMD corresponds to a stochastic variant of Stein...
Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials
arXiv:2606.04100v1 Announce Type: cross Abstract: Machine learning interatomic potentials (MLIPs) enable efficient and accurate atomistic simulations but depend critically on the quality and diversity of the training data. We introduce Stein kernelized molecular dynamics (SKMD), an enhanced sampling method that uses interacting particle dynamics to acquire informative training configurations for the active learning and fine-tuning of MLIPs. SKMD corresponds to a stochastic variant of Stein...
Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization
Announce Type: new Abstract: A fundamental tension exists in the large-step inference of diffusion models via their deterministic probability flow ordinary differential equation (PF-ODE) trajectories, which we identify as the contractivity trap: efficient inference favors large step sizes, while aggressive steps and highly expressive denoisers can undermine contraction-based stability certificates for error suppression. To address this, we propose SteinDiff, a step-wise inference-time...
Smooth Hard-Thresholding for Singular Values with Stein's Unbiased Risk Estimate
Announce Type: cross Abstract: Low-rank matrix denoising is a central primitive in patch-based image restoration and many other inverse problems. Classical SVD-based image denoising methods often choose a truncation rank by matching residual singular-value energy with an estimated noise energy, but this rule is not a finite-sample risk principle because a fitted low-rank approximation inevitably absorbs part of the noise. This paper develops a mathematically rigorous alternative based on...
Variational Proximal Policy Optimization
Announce Type: cross Abstract: Reinforcement Learning from Human Feedback via Proximal Policy Optimization often suffers from policy mode collapse, brittle exploration loops, and distribution drift. This paper introduces Variational Proximal Policy Optimization (\(\textsc{VP}_2\textsc{O}\)), a particle-based variational inference framework that maps policy optimization to Stein Variational Gradient Descent within a Mixture-of-Experts architecture. By leveraging functional kernels over...
Future Power Rankings: How all 68 Power 4 college football teams stack up
Projecting a college football program's future is harder than ever. Rosters and fortunes change dramatically and championship pathways are more open than ever. The assets that make a program great in 2026 might not be there in 2027.
Ranking college football's top 100 newcomers for t...
If the upcoming 2026 college football season is anything like its predecessor, transfer quarterbacks and top freshmen will be crucial for many College Football Playoff runs. And by now, with less than 100 days until the start of the season, we can assess rosters and what players did during spring practice with their new teams. While we have analyzed the top newcomer for each Power 4 team, these rankings are regardless of teams.
Kentucky football mourns Nic Smith after defensive lineman found dead on campus
Nic Smith, a defensive lineman for Kentucky, has died, the program announced. He was 20.Smith spent last season as a redshirt freshman with the Wildcats. "Today our hearts are broken.
‘It’s undiluted Trump:’ Freedom 250 plans offer a peek at how the president might approach World Cup
‘It’s undiluted Trump:’ Freedom 250 plans offer a peek at how the president might approach World Cup Trump has found unprecedented ways to inject himself into upcoming events - Bookmark When nearly all scheduled musical performers withdrew from a concert series marking America’s 250th anniversary, citing concerns over its perceived close ties to President Donald Trump, he responded by officially taking center stage. Trump announced he would now headline the Great American State Fair,...