Tootfinder

paris_transportation: Paris Transportation (2016)
A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.
This network ha…

You won't want to miss today's Metacurity for the most critical infosec developments you might have missed over the weekend, including
--Trump cyber EO reverses some parts of Biden, Obama orders
--Starlink endangers WH security,
--Nigeria convicts Chinese cybercriminals,
--US sentences Nigerian hacker,
--ICE arrests Oz hacker,
--Italy ends contract with spyware company Paragon,
--Supreme Ct. gives DOGE social security data,
--BADBOX 2.0 …

Trump cyber EO reverses some parts of Biden, Obama orders
Starlink endangers WH security, Nigeria convicts Chinese cybercriminals, US sentences Nigerian hacker, ICE arrests Oz hacker, Italy ends contract with spyware company Paragon, Supreme Ct. gives DOGE our social security data, BADBOX 2.0 infects 1m+ devices, EU issues cyber blueprint, much more

This https://arxiv.org/abs/2506.04668 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Feature-Based Lie Group Transformer for Real-World Applications
The main goal of representation learning is to acquire meaningful representations from real-world sensory inputs without supervision. Representation learning explains some aspects of human development. Various neural network (NN) models have been proposed that acquire empirically good representations. However, the formulation of a good representation has not been established. We recently proposed a method for categorizing changes between a pair of sensory inputs. A unique feature of this approa…

Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization
Jonathan Yang, Chuyuan Kelly Fu, Dhruv Shah, Dorsa Sadigh, Fei Xia, Tingnan Zhang
https://arxiv.org/abs/2506.06196

Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization
In this work, we investigate how spatially grounded auxiliary representations can provide both broad, high-level grounding as well as direct, actionable information to improve policy learning performance and generalization for dexterous tasks. We study these mid-level representations across three critical dimensions: object-centricity, pose-awareness, and depth-awareness. We use these interpretable mid-level representations to train specialist encoders via supervised learning, then feed them as…

Regional, Lattice and Logical Representations of Neural Networks
Sandro Preto (Federal University of ABC, Brazil), Marcelo Finger (University of Sao Paulo, Brazil)
https://arxiv.org/abs/2506.05834

Regional, Lattice and Logical Representations of Neural Networks
A possible path to the interpretability of neural networks is to (approximately) represent them in the regional format of piecewise linear functions, where regions of inputs are associated to linear functions computing the network outputs. We present an algorithm for the translation of feedforward neural networks with ReLU activation functions in hidden layers and truncated identity activation functions in the output layer. We also empirically investigate the complexity of regional representati…

Generating representative macrobenchmark microservice systems from distributed traces with Palette
Vaastav Anand, Matheus Stolet, Jonathan Mace, Antoine Kaufmann
https://arxiv.org/abs/2506.06448

Generating representative macrobenchmark microservice systems from distributed traces with Palette
Microservices are the dominant design for developing cloud systems today. Advancements for microservice need to be evaluated in representative systems, e.g. with matching scale, topology, and execution patterns. Unfortunately in practice, researchers and practitioners alike often do not have access to representative systems. Thus they have to resort to sub-optimal non-representative alternatives, e.g. small and oversimplified synthetic benchmark systems or simulated system models instead. …

Employing Discrete Fourier Transform in Representational Learning
Raoof HojatJalali, Edmondo Trentin
https://arxiv.org/abs/2506.06765 https://

Employing Discrete Fourier Transform in Representational Learning
Image Representation learning via input reconstruction is a common technique in machine learning for generating representations that can be effectively utilized by arbitrary downstream tasks. A well-established approach is using autoencoders to extract latent representations at the network's compression point. These representations are valuable because they retain essential information necessary for reconstructing the original input from the compressed latent space. In this paper, we propose an…

Federal officials prevented two members of Congress on Sunday from entering an immigration detention facility in Manhattan
where the representatives were seeking to investigate reports of overcrowding, stifling heat and migrants sleeping on bathroom floors.
The representatives,
Adriano Espaillat and
Nydia Velšzquez, both Democrats from New York,
said officials at the Jacob K. Javits Federal Building had denied them access to the 10th-floor detention area because…

2 New York Representatives Are Denied Access to ICE Facility
Representatives Adriano Espaillat and Nydia Velázquez were turned away when seeking to inspect a migrant detention area inside a Manhattan federal building.

This https://arxiv.org/abs/2410.22931 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A Third-Order Gaussian Process Trajectory Representation Framework with Closed-Form Kinematics for Continuous-Time Motion Estimation
In this paper, we propose a third-order, i.e., white-noise-on-jerk, Gaussian Process (GP) Trajectory Representation (TR) framework for continuous-time (CT) motion estimation (ME) tasks. Our framework features a unified trajectory representation that encapsulates the kinematic models of both $SO(3)\times\mathbb{R}^3$ and $SE(3)$ pose representations. This encapsulation strategy allows users to use the same implementation of measurement-based factors for either choice of pose representation, whic…

flickr_growth: Flickr friendship network (2008)
A network of declared friendships among Frickr users. Nodes represent Frickr users and a directed edge (i,j) represents a directed declaration of friendship from i to j. Edges are timestamped.
This network has 2302925 nodes and 33140017 edges.
Tags: Social, Online, Unweighted, Timestamps
h…