A diverse, overlooked population of Type Ia supernovae exhibiting mid-infrared signatures of delayed circumstellar interaction

Posted by dbos MIT

Kavli Affiliate: Nathan P. Lourie | First 5 Authors: Geoffrey Mo, Kishalay De, Eli Wiston, Nayana A. J., Raffaella Margutti | Summary: Type Ia supernovae arise from the thermonuclear explosions of white dwarfs in multiple star systems. A rare sub-class of SNe Ia exhibit signatures of interaction with circumstellar material (CSM), allowing for direct constraints […]


Continue.. A diverse, overlooked population of Type Ia supernovae exhibiting mid-infrared signatures of delayed circumstellar interaction

A diverse, overlooked population of Type Ia supernovae exhibiting mid-infrared signatures of delayed circumstellar interaction

Posted by klaurent MIT

Kavli Affiliate: Nathan P. Lourie | Summary:Type Ia supernovae arise from the thermonuclear explosions of white dwarfs in multiple star systems. A rare sub-class of SNe Ia exhibit signatures of interaction with circumstellar material (CSM), allowing for direct constraints on companion material. While most known events show evidence for dense nearby CSM identified via peak-light […]


Continue.. A diverse, overlooked population of Type Ia supernovae exhibiting mid-infrared signatures of delayed circumstellar interaction

Black Holes Inside and Out 2024: visions for the future of black hole physics

Posted by klaurent Chicago

Kavli Affiliate: Robert Wald | Summary:The gravitational physics landscape is evolving rapidly, driven by our ability to study strong-field regions, in particular black holes. Black Holes Inside and Out gathered world experts to discuss the status of the field and prospects ahead. We hope that the ideas and perspectives are a source of inspiration. Structure: […]


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Adaptive L-statistics for high dimensional test problem

Posted by klaurent Peking

Kavli Affiliate: Feng Long| Summary: In this study, we focus on applying L-statistics to the high-dimensional one-sample location test problem. Intuitively, an L-statistic with $k$ parameters tends to perform optimally when the sparsity level of the alternative hypothesis matches $k$. We begin by deriving the limiting distributions for both L-statistics with fixed parameters and those […]


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Supervised Chain of Thought

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Dujian Ding, , , | Summary: Large Language Models (LLMs) have revolutionized natural language processing and hold immense potential for advancing Artificial Intelligence. However, the core architecture of most mainstream LLMs — the Transformer — has inherent limitations in computational depth, rendering them theoretically incapable […]


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Independently-Normalized SGD for Generalized-Smooth Nonconvex Optimization

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yufeng Yang, Erin Tripp, Yifan Sun, Shaofeng Zou, Yi Zhou | Summary: Recent studies have shown that many nonconvex machine learning problems meet a so-called generalized-smooth condition that extends beyond traditional smooth nonconvex optimization. However, the existing algorithms designed for generalized-smooth nonconvex optimization encounter significant limitations in […]


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Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yufeng Yang, Yufeng Yang, , , | Summary: Recent studies have shown that many nonconvex machine learning problems satisfy a generalized-smooth condition that extends beyond traditional smooth nonconvex optimization. However, the existing algorithms are not fully adapted to such generalized-smooth nonconvex geometry and encounter significant technical limitations […]


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Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji | Summary: Secure aggregation is concerned with the task of securely uploading the inputs of multiple users to an aggregation server without letting the server know the inputs beyond their summation. It finds broad applications in distributed […]


Continue.. Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji | Summary: Secure aggregation is concerned with the task of securely uploading the inputs of multiple users to an aggregation server without letting the server know the inputs beyond their summation. It finds broad applications in distributed […]


Continue.. Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji | Summary: Secure aggregation is concerned with the task of securely uploading the inputs of multiple users to an aggregation server without letting the server know the inputs beyond their summation. It finds broad applications in distributed […]


Continue.. Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion