Tootfinder

college_freshmen: Dutch college freshman (1995)
A small network of friendships among freshmen at Dutch College in 1994-1995. Friendship ties were surveyed at 7 different times over the year, and each edge is timestamped. The direction of an edge indicates that person i named person j, and the edge weight represents their level of friendship, ranging from -1 (risk of conflict) to 3 (best friend).
This network has 32 nodes and 3062 edges.
Tags: Social, Offline, Weighted, Tim…

Accelerating Correlated Wave Function Calculations with Hierarchical Matrix Compression of the Two-Electron Integrals
Hongji Gao, Xiangmin Jiao, Benjamin G. Levine
https://arxiv.org/abs/2506.16576

Accelerating Correlated Wave Function Calculations with Hierarchical Matrix Compression of the Two-Electron Integrals
Leveraging matrix sparsity has proven a fruitful strategy for accelerating quantum chemical calculations. Here we present the hierarchical SOS-MP2 algorithm, which uses hierarchical matrix ($\mathcal{H}^{2}$) compression of the electron repulsion integral (ERI) tensor to reduce both time and space complexity. This approach is based on the atomic orbital Laplace transform MP2 calculations, leveraging the data sparsity of the ERI tensor and the element-wise sparsity of the energy-weighted density…

Integrating Maneuverable Planning and Adaptive Control for Robot Cart-Pushing under Disturbances
Zhe Zhang, Peijia Xie, Zhirui Sun, Bingyi Xia, Bi-Ke Zhu, Jiankun Wang
https://arxiv.org/abs/2506.18410

Integrating Maneuverable Planning and Adaptive Control for Robot Cart-Pushing under Disturbances
Precise and flexible cart-pushing is a challenging task for mobile robots. The motion constraints during cart-pushing and the robot's redundancy lead to complex motion planning problems, while variable payloads and disturbances present complicated dynamics. In this work, we propose a novel planning and control framework for flexible whole-body coordination and robust adaptive control. Our motion planning method employs a local coordinate representation and a novel kinematic model to solve a non…

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models
Lintao Wang, Encheng Su, Jiaqi Liu, Pengze Li, Peng Xia, Jiabei Xiao, Wenlong Zhang, Xinnan Dai, Xi Chen, Yuan Meng, Mingyu Ding, Lei Bai, Wanli Ouyang, Shixiang Tang, Aoran Wang, Xinzhu Ma
https://arxiv.org/abs/2506.17667

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models
Physics problem-solving is a challenging domain for large AI models, requiring integration of conceptual understanding, mathematical reasoning, and interpretation of physical diagrams. Current evaluation methodologies show notable limitations in capturing the breadth and complexity of undergraduate-level physics, underscoring the need for more rigorous assessments. To this end, we present PhysUniBench, a large-scale multimodal benchmark designed to evaluate and improve the reasoning capabilitie…

A Dynamic Strategic Plan for Transition to Campus-Scale Clean Electricity Using Multi-Stage Stochastic Programming
Ahmet Emir \c{S}ener, Burak Kocuk, Tu\u{g}\c{c}e Y\"uksel
https://arxiv.org/abs/2506.16423

A Dynamic Strategic Plan for Transition to Campus-Scale Clean Electricity Using Multi-Stage Stochastic Programming
The transition to clean energy systems at large-scale campuses is a critical step toward achieving global decarbonization goals. However, this transition poses significant challenges, including substantial capital requirements, technological uncertainties, and the operational complexities of integrating renewable energy technologies. This study presents a dynamic strategic planning framework for campus-scale clean electricity transitions, utilizing a multi-stage stochastic programming model tha…

Complete systems of solutions, transmutations and Darboux transform for Sturm-Liouville equations in impedance form
V\'ictor A. Vicente-Ben\'itez
https://arxiv.org/abs/2506.16604

Complete systems of solutions, transmutations and Darboux transform for Sturm-Liouville equations in impedance form
We present the construction of a complete system of functions associated with the Sturm-Liouville equation in impedance form on a finite interval $I$, given an impedance function $a\in L^2(I)$. The system, known as the formal powers, is generated through recursive integration of the impedance function $a$ and its reciprocal. We establish the completeness of this system in the space $L^p$ with the weight function $a^2$. Under additional conditions on $a$, we extend the completeness of this compl…

Teaching Complex Systems based on Microservices
Renato Cordeiro Ferreira (University of S\~ao Paulo), Thatiane de Oliveira Rosa (University of S\~ao Paulo, Federal Institute of Tocantins), Alfredo Goldman (University of S\~ao Paulo), Eduardo Guerra (Free University of Bozen-Bolzano)
https://arxiv.org/abs/2506.16492

Teaching Complex Systems based on Microservices
Developing complex systems using microservices is a current challenge. In this paper, we present our experience with teaching this subject to more than 80 students at the University of São Paulo (USP), fostering team work and simulating the industry's environment. We show it is possible to teach such advanced concepts for senior undergraduate students of Computer Science and related fields.

BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles
Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim
https://arxiv.org/abs/2507.17472

BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles
Human decision-making in high-stakes domains often relies on expertise and heuristics, but is vulnerable to hard-to-detect cognitive biases that threaten fairness and long-term outcomes. This work presents a novel approach to enhancing complex decision-making workflows through the integration of hierarchical learning alongside various enhancements. Focusing on university admissions as a representative high-stakes domain, we propose BGM-HAN, an enhanced Byte-Pair Encoded, Gated Multi-head Hierar…

EHCube4P: Learning Epistatic Patterns Through Hypercube Graph Convolution Neural Network for Protein Fitness Function Estimation
Muhammad Daud, Philippe Charton, Cedric Damour, Jingbo Wang, Frederic Cadet
https://arxiv.org/abs/2506.16921

EHCube4P: Learning Epistatic Patterns Through Hypercube Graph Convolution Neural Network for Protein Fitness Function Estimation
Understanding the relationship between protein sequences and their functions is fundamental to protein engineering, but this task is hindered by the combinatorially vast sequence space and the experimental noise inherent in fitness measurements. In this study, we present a novel framework that models the sequence landscape as a hypercube $H(k,2)$ and integrates wavelet-based signal denoising with a graph convolutional neural network (GCN) to predict protein fitness across rugged fitness landsca…

college_freshmen: Dutch college freshman (1995)
A small network of friendships among freshmen at Dutch College in 1994-1995. Friendship ties were surveyed at 7 different times over the year, and each edge is timestamped. The direction of an edge indicates that person i named person j, and the edge weight represents their level of friendship, ranging from -1 (risk of conflict) to 3 (best friend).
This network has 32 nodes and 3062 edges.
Tags: Social, Offline, Weighted, Tim…