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@cdarwin@c.im
2026-04-12 22:06:26

Despite heavily tilting the electoral playing field in its favor
—through extreme gerrymandering,
extensive use of state resources for partisan ends,
near-total media dominance,
flagrant use of deepfake videos,
and alleged vote-buying
—Hungarian Prime Minister Viktor Orban and his Fidesz party suffered a crushing, historic defeat in the country’s election Sunday.
Orban conceded defeat and congratulated his opponent,
Tisza Party leader Peter Magya…

Why Viktor Orban’s Fidesz Party Lost
The opposition’s stunning victory offers lessons for U.S. Democrats—and a warning for Trump’s allies.

@arXiv_csDS_bot@mastoxiv.page
2026-02-10 21:08:46

Replaced article(s) found for cs.DS. arxiv.org/list/cs.DS/new
[1/1]:
- Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai, Vihan Shah, Chen Wang
arxiv.org/abs/2411.09979 mastoxiv.page/@arXiv_csDS_bot/
- A Simple and Combinatorial Approach to Proving Chernoff Bounds and Their Generalizations
William Kuszmaul
arxiv.org/abs/2501.03488 mastoxiv.page/@arXiv_csDS_bot/
- The Structural Complexity of Matrix-Vector Multiplication
Emile Anand, Jan van den Brand, Rose McCarty
arxiv.org/abs/2502.21240 mastoxiv.page/@arXiv_csDS_bot/
- Clustering under Constraints: Efficient Parameterized Approximation Schemes
Sujoy Bhore, Ameet Gadekar, Tanmay Inamdar
arxiv.org/abs/2504.06980 mastoxiv.page/@arXiv_csDS_bot/
- Minimizing Envy and Maximizing Happiness in Graphical House Allocation
Anubhav Dhar, Ashlesha Hota, Palash Dey, Sudeshna Kolay
arxiv.org/abs/2505.00296 mastoxiv.page/@arXiv_csDS_bot/
- Fast and Simple Densest Subgraph with Predictions
Thai Bui, Luan Nguyen, Hoa T. Vu
arxiv.org/abs/2505.12600 mastoxiv.page/@arXiv_csDS_bot/
- Compressing Suffix Trees by Path Decompositions
Becker, Cenzato, Gagie, Kim, Koerkamp, Manzini, Prezza
arxiv.org/abs/2506.14734 mastoxiv.page/@arXiv_csDS_bot/
- Improved sampling algorithms and functional inequalities for non-log-concave distributions
Yuchen He, Zhehan Lei, Jianan Shao, Chihao Zhang
arxiv.org/abs/2507.11236 mastoxiv.page/@arXiv_csDS_bot/
- Deterministic Lower Bounds for $k$-Edge Connectivity in the Distributed Sketching Model
Peter Robinson, Ming Ming Tan
arxiv.org/abs/2507.11257 mastoxiv.page/@arXiv_csDS_bot/
- Optimally detecting uniformly-distributed $\ell_2$ heavy hitters in data streams
Santhoshini Velusamy, Huacheng Yu
arxiv.org/abs/2509.07286 mastoxiv.page/@arXiv_csDS_bot/
- Uncrossed Multiflows and Applications to Disjoint Paths
Chandra Chekuri, Guyslain Naves, Joseph Poremba, F. Bruce Shepherd
arxiv.org/abs/2511.00254 mastoxiv.page/@arXiv_csDS_bot/
- Dynamic Matroids: Base Packing and Covering
Tijn de Vos, Mara Grilnberger
arxiv.org/abs/2511.15460 mastoxiv.page/@arXiv_csDS_bot/
- Branch-width of connectivity functions is fixed-parameter tractable
Tuukka Korhonen, Sang-il Oum
arxiv.org/abs/2601.04756 mastoxiv.page/@arXiv_csDS_bot/
- CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan Ullman
arxiv.org/abs/2006.06618
- The Ideal Membership Problem and Abelian Groups
Andrei A. Bulatov, Akbar Rafiey
arxiv.org/abs/2201.05218
- Bridging Classical and Quantum: Group-Theoretic Approach to Quantum Circuit Simulation
Daksh Shami
arxiv.org/abs/2407.19575 mastoxiv.page/@arXiv_quantph_b
- Young domination on Hamming rectangles
Janko Gravner, Matja\v{z} Krnc, Martin Milani\v{c}, Jean-Florent Raymond
arxiv.org/abs/2501.03788 mastoxiv.page/@arXiv_mathCO_bo
- On the Space Complexity of Online Convolution
Joel Daniel Andersson, Amir Yehudayoff
arxiv.org/abs/2505.00181 mastoxiv.page/@arXiv_csCC_bot/
- Universal Solvability for Robot Motion Planning on Graphs
Anubhav Dhar, Pranav Nyati, Tanishq Prasad, Ashlesha Hota, Sudeshna Kolay
arxiv.org/abs/2506.18755 mastoxiv.page/@arXiv_csCC_bot/
- Colorful Minors
Evangelos Protopapas, Dimitrios M. Thilikos, Sebastian Wiederrecht
arxiv.org/abs/2507.10467
- Learning fermionic linear optics with Heisenberg scaling and physical operations
Aria Christensen, Andrew Zhao
arxiv.org/abs/2602.05058
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@arXiv_csGR_bot@mastoxiv.page
2026-02-02 08:39:29

HeatMat: Simulation of City Material Impact on Urban Heat Island Effect
Marie Reinbigler, Romain Rouffet, Peter Naylor, Mikolaj Czerkawski, Nikolaos Dionelis, Elisabeth Brunet, Catalin Fetita, Rosalie Martin
arxiv.org/abs/2601.22796 arxiv.org/pdf/2601.22796 arxiv.org/html/2601.22796
arXiv:2601.22796v1 Announce Type: new
Abstract: The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban environments compared to surrounding areas, is difficult to study in real cities using sensor data (satellites or in-situ stations) due to their coarse spatial and temporal resolution. Among the factors contributing to this effect are the properties of urban materials, which differ from those in rural areas. To analyze their individual impact and to test new material configurations, a high-resolution simulation at the city scale is required. Estimating the current materials used in a city, including those on building facades, is also challenging. We propose HeatMat, an approach to analyze at high resolution the individual impact of urban materials on the UHI effect in a real city, relying only on open data. We estimate building materials using street-view images and a pre-trained vision-language model (VLM) to supplement existing OpenStreetMap data, which describes the 2D geometry and features of buildings. We further encode this information into a set of 2D maps that represent the city's vertical structure and material characteristics. These maps serve as inputs for our 2.5D simulator, which models coupled heat transfers and enables random-access surface temperature estimation at multiple resolutions, reaching an x20 speedup compared to an equivalent simulation in 3D.
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@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:07:37

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[1/6]:
- Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
arxiv.org/abs/2309.13411
- Knee or ROC
Veronica Wendt, Jacob Steiner, Byunggu Yu, Caleb Kelly, Justin Kim
arxiv.org/abs/2401.07390
- Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almud\'evar, Alfonso Ortega
arxiv.org/abs/2408.07016 mastoxiv.page/@arXiv_csLG_bot/
- Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can, Eli Waxman
arxiv.org/abs/2411.00759 mastoxiv.page/@arXiv_csLG_bot/
- Predicting Subway Passenger Flows under Incident Situation with Causality
Xiannan Huang, Shuhan Qiu, Quan Yuan, Chao Yang
arxiv.org/abs/2412.06871 mastoxiv.page/@arXiv_csLG_bot/
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
arxiv.org/abs/2501.08219 mastoxiv.page/@arXiv_csLG_bot/
- Universality of Benign Overfitting in Binary Linear Classification
Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik
arxiv.org/abs/2501.10538 mastoxiv.page/@arXiv_csLG_bot/
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert
arxiv.org/abs/2501.16613 mastoxiv.page/@arXiv_csLG_bot/
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
arxiv.org/abs/2502.01310
- Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
arxiv.org/abs/2502.03652 mastoxiv.page/@arXiv_csLG_bot/
- Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
arxiv.org/abs/2502.12108 mastoxiv.page/@arXiv_csLG_bot/
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
arxiv.org/abs/2502.17028 mastoxiv.page/@arXiv_csLG_bot/
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad
arxiv.org/abs/2503.00229 mastoxiv.page/@arXiv_csLG_bot/
- Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Yan Li, Zhenyu Zhang, Zhengang Wang, Pengfei Chen, Pengfei Zheng
arxiv.org/abs/2503.04398 mastoxiv.page/@arXiv_csLG_bot/
- A Survey on Federated Fine-tuning of Large Language Models
Wu, Tian, Li, Sun, Tam, Zhou, Liao, Xiong, Guo, Li, Xu
arxiv.org/abs/2503.12016 mastoxiv.page/@arXiv_csLG_bot/
- Towards Trustworthy GUI Agents: A Survey
Yucheng Shi, Wenhao Yu, Jingyuan Huang, Wenlin Yao, Wenhu Chen, Ninghao Liu
arxiv.org/abs/2503.23434 mastoxiv.page/@arXiv_csLG_bot/
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu, Yan Cheng
arxiv.org/abs/2504.13961 mastoxiv.page/@arXiv_csLG_bot/
- Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubi\'c, Davide Scaramuzza
arxiv.org/abs/2505.11602 mastoxiv.page/@arXiv_csLG_bot/
- RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta
arxiv.org/abs/2505.13289 mastoxiv.page/@arXiv_csLG_bot/
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
arxiv.org/abs/2505.18877 mastoxiv.page/@arXiv_csLG_bot/
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Bechler-Speicher, Zerio, Huri, Vestergaard, Gilad-Bachrach, Jess, Bhatt, Sazonovs
arxiv.org/abs/2505.19193 mastoxiv.page/@arXiv_csLG_bot/
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@arXiv_csGR_bot@mastoxiv.page
2026-01-21 22:57:15

Replaced article(s) found for cs.GR. arxiv.org/list/cs.GR/new
[1/1]:
- Controllable Video Generation: A Survey
Yue Ma, et al.
arxiv.org/abs/2507.16869 mastoxiv.page/@arXiv_csGR_bot/
- Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation
Jianzhi Long, Wenhao Sun, Rongcheng Tu, Dacheng Tao
arxiv.org/abs/2509.00052 mastoxiv.page/@arXiv_csGR_bot/
- MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control
Xue Bin Peng
arxiv.org/abs/2510.13794 mastoxiv.page/@arXiv_csGR_bot/
- TIDI-GS: Floater Suppression in 3D Gaussian Splatting for Enhanced Indoor Scene Fidelity
Sooyeun Yang, Cheyul Im, Jee Won Lee, Jongseong Brad Choi
arxiv.org/abs/2601.09291 mastoxiv.page/@arXiv_csGR_bot/
- Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Bozkir, S\Ozdel, Wang, David-John, Gao, Butler, Jain, Kasneci
arxiv.org/abs/2305.14080
- Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation
Hasan, Ozel, Long, Martin, Potter, Adnan, Lee, Hoque
arxiv.org/abs/2406.03599 mastoxiv.page/@arXiv_csCV_bot/
- A Text-to-3D Framework for Joint Generation of CG-Ready Humans and Compatible Garments
Zhiyao Sun, Yu-Hui Wen, Ho-Jui Fang, Sheng Ye, Matthieu Lin, Tian Lv, Yong-Jin Liu
arxiv.org/abs/2503.12052 mastoxiv.page/@arXiv_csCV_bot/
- A Unified Architecture for N-Dimensional Visualization and Simulation: 4D Implementation and Eval...
Hirohito Arai
arxiv.org/abs/2512.01501 mastoxiv.page/@arXiv_csCG_bot/
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