Tootfinder

mist: MIST protein interaction database (2020)
The Molecular Interaction Search Tool (MIST) is a comprehensive resource of molecular interactions, assembled from severla primary sources. MIST currently supports several species, including:.
This network has 7946 nodes and 250780 edges.
Tags: Biological, Protein interactions, Unweighted

mist: MIST protein interaction database (2020)
The Molecular Interaction Search Tool (MIST) is a comprehensive resource of molecular interactions, assembled from severla primary sources. MIST currently supports several species, including:.
This network has 7946 nodes and 250780 edges.
Tags: Biological, Protein interactions, Unweighted

Hub Detection in Gaussian Graphical Models
Jos\'e \'A. S\'anchez G\'omez, Weibin Mo, Junlong Zhao, Yufeng Liu
https://arxiv.org/abs/2505.23707

Hub Detection in Gaussian Graphical Models
Graphical models are popular tools for exploring relationships among a set of variables. The Gaussian graphical model (GGM) is an important class of graphical models, where the conditional dependence among variables is represented by nodes and edges in a graph. In many real applications, we are interested in detecting hubs in graphical models, which refer to nodes with a significant higher degree of connectivity compared to non-hub nodes. A typical strategy for hub detection consists of estimat…

#DIAMAS project final ouput before next week's conference:
DIAMOND OPEN ACCESS RECOMMENDATIONS AND GUIDELINES FOR INSTITUTIONS, FUNDERS, SPONSORS, DONORS, AND POLICYMAKERS. #DiamondOA
…

Deep Learning-Based CSI Feedback for Wi-Fi Systems With Temporal Correlation
Junyong Shin, Eunsung Jeon, Inhyoung Kim, Yo-Seb Jeon
https://arxiv.org/abs/2505.23198

Deep Learning-Based CSI Feedback for Wi-Fi Systems With Temporal Correlation
To achieve higher throughput in next-generation Wi-Fi systems, a station (STA) needs to efficiently compress channel state information (CSI) and feed it back to an access point (AP). In this paper, we propose a novel deep learning (DL)-based CSI feedback framework tailored for next-generation Wi-Fi systems. Our framework incorporates a pair of encoder and decoder neural networks to compress and reconstruct the angle parameters of the CSI. To enable an efficient finite-bit representation of the …

This https://arxiv.org/abs/2311.01640 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Ehrhart Bounds for Panhandle and Paving Matroids Through Enumeration of Chain Forests
Panhandle matroids are a specific family of lattice-path matroids corresponding to panhandle-shaped Ferrers diagrams. Their matroid polytopes are the subpolytopes carved from a hypersimplex to form matroid polytopes of paving matroids. It has been an active area of research to determine which families of matroid polytopes are Ehrhart positive. We prove Ehrhart positivity for panhandle matroid polytopes, thus confirming a conjecture of Hanely, Martin, McGinnis, Miyata, Nasr, Vindas-Meléndez, an…

This https://arxiv.org/abs/2503.13788 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Geometry of the Feasible Output Regions of Grid-Interfacing Inverters with Current Limits
Many resources in the grid connect to power grids via programmable grid-interfacing inverters that can provide grid services and offer greater control flexibility and faster response times compared to synchronous generators. However, the current through the inverter needs to be limited to protect the semiconductor components. Existing controllers are designed using somewhat ad hoc methods, for example, by adding current limiters to preexisting control loops, which can lead to stability issues o…

This https://arxiv.org/abs/2504.14775 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling
Pipeline parallelism has emerged as a predominant approach for deploying large language models (LLMs) across distributed nodes, owing to its lower communication overhead compared to tensor parallelism. While demonstrating high throughput in request serving, pipeline parallelism often suffers from performance limitations caused by pipeline bubbles, which are primarily resulted from imbalanced computation delays across batches. Existing methods like Sarathi-Serve attempt to address this through h…

David Brooks: "What’s Happening Is Not Normal. America Needs an Uprising That Is Not Normal"
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It’s time for a comprehensive national civic uprising. It’s time for Americans in universities, law, business, nonprofits and the scientific community, and civil servants and beyond to form one coordinated mass movement. Trump is about power. The only way he’s going to be stopped is if he’s confronted by some movement that possesses rival power."
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Opinion | What’s Happening Is Not Normal. America Needs an Uprising That Is Not Normal.
It will take a concerted effort by every sector of our society to respond to Trumpism’s threat.

This https://arxiv.org/abs/2501.18221 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Network Weighted Functional Regression: a method for modeling dependencies between functional data in a network
This paper focuses on predicting continuous signals in a sensor lab network, particularly studying microclimate changes. We propose two novel concepts: Network Functional Data (NFD), which represents time series signals as functions on network nodes, and the Network Weighted Functional Regression (NWFR) model, which analyzes relationships between functional responses and predictors in a weighted network. Additionally, we introduce a functional conformal method to provide prediction bands with g…