Increased Exertion Variability is Linked to Disruptions in Effort Assessment in Multiple Sclerosis

Posted by dbos Hopkins

Kavli Affiliate: Vikram Chib | Authors: Michael H Dryzer, Bardia Nourbakhsh, Jennifer Keller and Vikram S. Chib | Summary: Accurate assessment of exertion is crucial for determining whether to continue or rest during physical activity. Individuals with multiple sclerosis (MS) often report fatigue and motor impairments, yet the mechanisms underlying their assessments of effortful exertion […]


Continue.. Increased Exertion Variability is Linked to Disruptions in Effort Assessment in Multiple Sclerosis

A Common Origin of Normal Type Ia Supernovae Suggested by the Photometric Diversity

Posted by klaurent Tokyo

Kavli Affiliate: Naoki Yasuda | Summary:In recent years, with an increasing number of type Ia supernovae (SNe Ia) discovered soon after their explosions, a non-negligible fraction of SNe Ia with early-excess emissions (EExSNe Ia) have been confirmed. In this letter, we present a total of textbf67 early-phase normal SNe Ia from published papers and ongoing […]


Continue.. A Common Origin of Normal Type Ia Supernovae Suggested by the Photometric Diversity

Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport

Posted by klaurent Stanford

Kavli Affiliate: Zeeshan Ahmed| First 5 Authors: Syed Ahmed Mahmood, Syed Ahmed Mahmood, , , | Summary:We study self-supervised procedure learning, which discovers key steps and their order from a set of unlabeled videos. Previous methods typically learn frame-to-frame correspondences between videos before determining key steps and their order. However, their performance often suffers from […]


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Rethinking LLM Inference Bottlenecks: Insights from Latent Attention and Mixture-of-Experts

Posted by klaurent Stanford

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Computational workloads composing traditional transformer models are starkly bifurcated. Multi-Head Attention (MHA) and Grouped-Query Attention are memory-bound due to low arithmetic intensity, while FeedForward Networks are compute-bound. This dichotomy has long motivated research into specialized hardware to mitigate the attention bottleneck. This […]


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Non-perturbative aspects of entanglement structures in $TbarT$-deformed CFTs

Posted by klaurent UCAS

Kavli Affiliate: Huajia Wang | Summary:Turning on the $TbarT$-deformation in a two-dimensional CFT provides a unique window to study explicitly how non-local features arise in the UV as a result of the deformation. A sharp signature is the dynamical emergence of an effective length-scale $propto sqrtμ$ that separates the local and non-local regimes of the […]


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A Virtual Frisch-Grid Geometry-Based CZT Gamma Detector for In-Field Radioisotope Identification

Posted by klaurent Stanford

Kavli Affiliate: Sven Herrmann | Summary:We present a Virtual Frisch-Grid geometry-based CZT gamma detector developed for identifying different radioisotopes over an energy range from single keV up to 2 MeV, and useful for efficient characterization of CZT crystals. The detector is built with a 3 x 3 matrix of CZT crystals, each measuring approximately 6 […]


Continue.. A Virtual Frisch-Grid Geometry-Based CZT Gamma Detector for In-Field Radioisotope Identification