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Papers

The Vienna 4G/5G Drive-Test Dataset
Date pendingWilfried Wiedner, Lukas Eller, Mariam Mussbah +4Mobile Networks Naturalistic Driving Data
Dynamic Properties and Motion Reproducibility of a Compact Pneumatically Actuated Humanoid Upper Body for Data-Driven Control
Date pendingHiroshi Atsuta, Hisashi Ishihara, Minoru AsadaLong-Tail Humanoid Whole-Body Control Soft Pneumatic Actuators
Measuring Progress in Reasoning Toward Mathematical Discovery with Automatic Verification
Date pendingErik Y. Wang, Sumeet R. Motwani, James V. Roggeveen +9Theorem Reasoning Benchmark
Longitudinal Risk Prediction in Mammography with Privileged History Distillation
Date pendingBanafsheh Karimian, Soufiane Belharbi, Alexis Guichemerre +3Mammography Clinical Prediction
Decomposing Discrimination: Causal Mediation Analysis for AI-Driven Credit Decisions
Date pendingDuraimurugan RajamanickamCausal Mediation Analysis Disparities
An Empirical Markov Chain Car-Following (MC-CF) Model
Date pendingSungyong Chung, Yanlin Zhang, Nachuan Li +2Microscopic Traffic Simulations Traffic
A Dynamic Toolkit for Transmission Characteristics of Precision Reducers with Explicit Contact Geometry
Date pendingJiacheng Miao, Chao Liu, Qiliang Wang +2Contact Forces Precision
FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving
Date pendingQingxiu Liu, Yongchao He, Runhan Jiang +4Mixture-Of-Expert Inference Mixture-of-Experts Models
BodhiPromptShield: Pre-Inference Prompt Mediation for Surface-Form Privacy Propagation in LLM Agent Pipelines
Date pendingBo Ma, Jinsong Wu, Weiqi YanPrompt-Level Mitigations Mediation
EgoFun3D: Modeling Interactive Objects from Egocentric Videos using Function Templates
Date pendingWeikun Peng, Denys Iliash, Manolis SavvaEgocentric Video Articulated Objects
Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning
Date pendingZdena Dobesova, Tai Dinh, Pavel NovakUrban Environments Data Mining
Reconstruction of a 3D wireframe from a single line drawing via generative depth estimation
Date pendingElton Cao, Hod LipsonDepth Estimation Sketches
LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains
Date pendingRyogo Hishikawa, Ichiro Kataoka, Shinya YudaCollaborative Filtering Recommendation
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
Date pendingXianming Li, Zongxi Li, Tsz-fung Andrew Lee +3Parameter-Efficient Fine-Tuning
DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
Date pendingQuanhao Li, Junqiu Yu, Kaixun Jiang +7On-Policy Distillation Text-To-Image Diffusion Models
Class-wise Contribution Estimation via Logit Maximization for Federated Learning
Date pendingAsim Ukaye, Nurbek Tastan, Mubarak Abdu-Aguye +1Federated Learning Logit Lens
Complementing reinforcement learning with SFT through logit averaging in the post training of LLMs
Date pendingXingwei Gan, Ying ZhuGroup Relative Policy Optimization Reinforcement Learning Post-Training
Moral Semantics Survive Machine Translation: Cross-Lingual Evidence from Moral Foundations Corpora
Date pendingMaciej SkorskiMachine Translation Models Moral Reasoning
Assessing Predictive Models for Fairness Based on Activity-Space Patterns
Date pendingFrancesco Lettich, Mario A. Nascimento, Chiara Pugliese +1Distribution Shifts Synthetic Dataset
Benchmarking non-conformity score functions in conformal prediction
Date pendingSol Erika BomanNonconformity Scores Conformal Prediction
ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces
Date pendingJinu Lee, Shivam Agarwal, Amruta Parulekar +3Reasoning Traces Large Language Model Reasoning
On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study
Date pendingIuri Macocco, Pau Rodríguez, Arno Blaas +3Instruction-Tuned Models Fluency
EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies
Date pendingNing Gao, Jinliang Zheng, Xing Gao +22Robotic Manipulation Policies Manipulation
PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement
Date pendingDong Yeong Kim, Jaewon Choi, Youmin Shin +5Tomography Transmissive X-Ray Imaging
Attributable by Construction: Claim-Anchored Provenance for Multi-Document Summarization
Date pendingShuo GuanSummarization Citations
State-specific respiratory signatures for affective and stress recognition: Interpretable respiratory markers, autocorrelation lags, and compact CNN models
Date pendingAndrei Velichko, Mehmet Tahir HuyutRespiratory Sound Classification Trier Social Stress Test
ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Distributions
Date pendingThomas Thebaud, Junhyeok Lee, Laureano Moro-Velazquez +2Zero-Shot Text-To-Speech Speaker Attributes
PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation
Date pendingHyungseok Song, Junseok Park, Won-Seok Choi +4Electronic Design Automation Deepmind Control Suite
EVIS: Real-Time Event Camera Simulation with Multimodal Supervision in NVIDIA Isaac Sim
Date pendingLinli Shi, Ruijun Zhang, Ziyun WangNvidia Isaac Sim Ego-Motion
Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture
Date pendingRakesh Ranjan, Gajanan S. Kothawade, Kata Sharrer +2Yolov8-Nano Model Yolo26

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The Vienna 4G/5G Drive-Test Dataset

Wilfried Wiedner, Lukas Eller, Mariam Mussbah, Dominik Rössler+3

Institute of Telecommunications, TU Wien, Gusshausstraße 25, 1040 Vienna, Austria · Christian Doppler Laboratory for Digital Twin assisted AI for sustainable Radio Access Networks, TU Wien

Machine learning for mobile network analysis, planning, and optimization is often limited by the lack of large, comprehensive real-world datasets. This paper introduces the Vienna 4G/5G Drive-Test Dataset, a city-scale open dataset of georeferenced Long Term Evolution (LTE) and 5G New Radio (NR) measurements collected across Vienna, Austria. The dataset combines passive wideband scanner observations with active handset logs, providing complementary network-side and user-side views of deployed radio access networks. The measurements cover diverse urban and suburban settings and are aligned with time and location information to support consistent evaluation. For a representative subset of base stations (BSs), we provide inferred deployment descriptors, including estimated BS locations, sector azimuths, and antenna heights. The release further includes high-resolution building and terrain models, enabling geometry-conditioned learning and calibration of deterministic approaches such as ray tracing. To facilitate practical reuse, the data are organized into scanner, handset, estimated cell information, and city-model components, and the accompanying documentation describes the available fields and intended joins between them. The dataset enables reproducible benchmarking across environment-aware learning, propagation modeling, coverage analysis, and ray-tracing calibration workflows.

Mobile Networks Naturalistic Driving Data Mobility Propagation

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