Drifting Field
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Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry
Announce Type: new Abstract: Generative action policies based on diffusion or flow matching excel in behavior cloning, yet their iterative sampling is prohibitive for high-frequency robot control. While recent one-step formulations alleviate this latency, they inevitably discard the intermediate trajectory evolution that provides crucial action correction. Directly recovering this mechanism by explicitly estimating a training-time drifting field is mathematically ill-posed due to extreme...
Midpoint Generative Models
Announce Type: replace Abstract: We introduce Midpoint Generative Models (MGM), a principled framework for training one-step generative models. MGM is based on a simple symmetry of Flow Matching with linear interpolation: when the two endpoint distributions coincide, the corresponding drift field vanishes at the midpoint time, $t=1/2$. We show that the norm of this field defines a valid discrepancy between distributions, which we call the Midpoint Divergence. We extend this discrepancy...
Speech Enhancement Based on Drifting Models
arXiv:2604.24199v4 Announce Type: replace Abstract: We propose Speech Enhancement based on Drifting Models (DriftSE), a novel generative framework that formulates denoising as an equilibrium problem. Rather than relying on iterative sampling, DriftSE natively achieves one-step inference by evolving the pushforward distribution of a mapping function to directly match the clean speech distribution. This evolution is driven by a Drifting Field, a learned correction vector that guides samples...
It has the highest levels of toxic Pfas in drinking water in Scotland. But how did this remote island become awash with forever chemicals?
Scientists believe they may now have found the cause of Fair Isle’s pollution – and warn that it should be ringing alarm bells in other coastal areasWhen the wind picks up on Fair Isle, Britain’s most remote inhabited island, puffs of seafoam start to drift across fields like tumbleweed. The pale yellow blobs are ubiquitous enough to hold their own place in the island’s mythology: known as the butter churned by a local troll, Lukki Minni. “When the Atlantic gets going, foam covers the whole...
Performance Optimization and Characterization of 7-pad Resistive PICOSEC Micromegas Detectors
arXiv:2512.04842v5 Announce Type: replace Abstract: We present a comprehensive characterization of resistive PICOSEC Micromegas detector prototypes, tested under identical conditions, constant drift gap, field configurations, and photocathode at the CERN SPS H4 beam line. This work provides a proof of concept for the use of resistive layer technology in gaseous timing detectors, demonstrating that robustness can be improved without compromising the excellent timing performance of PICOSEC...
It has the highest levels of toxic Pfas in drinking water in Scotland. But how did this remote island become awash with forever chemicals?
Scientists believe they may now have found the cause of Fair Isle’s pollution – and warn that it should be ringing alarm bells in other coastal areasWhen the wind picks up on Fair Isle, Britain’s most remote inhabited island, puffs of seafoam start to drift across fields like tumbleweed. The pale yellow blobs are ubiquitous enough to hold their own place in the island’s mythology: known as the butter churned by a local troll, Lukki Minni. “When the Atlantic gets going, foam covers the whole...
Man 'hours away from losing his vision' urges people to check eyes for symptom
Man 'hours away from losing his vision' urges people to check eyes for symptom People are urged to 'get checked immediately' after man says he was only a few hours away from losing his vision after noticing change A man who was 'hours away from losing his vision' is urging people not to ignore tiny specks or threads drifting across their field of vision, as they may be a warning sign of a serious condition. Eye floaters are something most people will have experienced, especially when...
SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling
arXiv:2606.04000v1 Announce Type: cross Abstract: We present a probabilistic modeling framework for incorporating small-scale spatial heterogeneity into macroscopic descriptions of material behavior for polycrystalline metallic materials. Spatially heterogeneous material state fields are represented using probability density functions (PDFs), providing a principled statistical description of microstructural variability and state evolution across different computational polycrystalline...
Magnetic fields may be the secret behind binary star formation
Magnetic fields may be the secret behind binary star formation - Date: - June 5, 2026 - Source: - National Institutes of Natural Sciences - Summary: - Scientists have uncovered a surprising force that may help explain how binary star systems form so quickly. New supercomputer simulations show that magnetic fields surrounding newborn stars can act like a cosmic brake, stripping away angular momentum and allowing two still-forming protostars to spiral closer together instead of drifting apart....
ITP-STDP: An Intrinsic-Timing Power-of-Two Learning Engine for On-Chip SNN Training
Announce Type: new Abstract: Spiking neural networks (SNNs) have the potential to emerge as the third generation of neural networks and have attracted increasing attention across a wide range of applications. However, the large number of synaptic connections in SNNs leads to intensive weight-update computation by on-chip learning algorithms during training, resulting in substantial hardware resource utilization and energy consumption. Among existing SNN learning algorithms,...