Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed...
arXiv:2605.00005v1 Announce Type: new Abstract: The increasing deployment of deep neural networks (DNNs) in cyber-physical systems (CPS) enhances perception fidelity, but imposes substantial...
View ArticleFedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources
arXiv:2605.00011v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative intelligence across decentralized data source devices in a privacy-preserving way. While substantial...
View ArticleWhat Physics do Data-Driven MoCap-to-Radar Models Learn?
arXiv:2605.00018v1 Announce Type: new Abstract: Data-driven MoCap-to-radar models generate plausible micro-Doppler spectrograms, but do they actually learn the underlying physics? We introduce a...
View ArticleAirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain...
arXiv:2605.00020v1 Announce Type: new Abstract: The success of large foundation models is catalyzing a new paradigm for AI-native 6G network design: wireless foundation models for physical layer...
View ArticleLearning physically grounded traffic accident reconstruction from public...
arXiv:2605.00050v1 Announce Type: new Abstract: Traffic accidents are routinely documented in textual reports, yet physically grounded accident reconstruction remains difficult because detailed scene...
View ArticleSmart Ensemble Learning Framework for Predicting Groundwater Heavy Metal...
arXiv:2605.00056v1 Announce Type: new Abstract: Groundwater in the Densu Basin is increasingly threatened by heavy metal contamination, but conventional methods fail to capture the statistical...
View ArticleInformation-Theoretic Generalization Bounds for Stochastic Gradient Descent...
arXiv:2605.00064v1 Announce Type: new Abstract: Information-theoretic generalization bounds analyze stochastic optimization by relating expected generalization error to the mutual information between...
View ArticleHuman-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific...
arXiv:2605.00068v1 Announce Type: new Abstract: Inertial Confinement Fusion (ICF) holds transformative promise for sustainable, near-limitless clean energy, yet remains constrained by prohibitively...
View ArticleSoft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series
arXiv:2605.00069v1 Announce Type: new Abstract: Elastic distances like dynamic time warping (DTW) are central to time series machine learning because they compare sequences under local temporal...
View ArticleCRADIPOR: Crash Dispersion Predictor
arXiv:2605.00070v1 Announce Type: new Abstract: We present CRADIPOR, a numerical dispersion prediction tool for automotive crash simulations. Finite Element (FE) crash models are widely used throughout...
View ArticleHyperspherical Forward-Forward with Prototypical Representations
arXiv:2605.00082v1 Announce Type: new Abstract: The Forward-Forward (FF) algorithm presents a compelling, bio-inspired alternative to backpropagation. However, while efficient in training, it has a...
View ArticleComparative Analysis of Polygon-Based and Global Machine Learning Models for...
arXiv:2605.00083v1 Announce Type: new Abstract: Accurate forecasting of bus ridership (passengers numbers) is crucial for efficient management and optimization of public transport systems. Traditional...
View ArticleSPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series...
arXiv:2605.00126v1 Announce Type: new Abstract: Generative models for time-series imputation achieve strong reconstruction accuracy, yet provide no finite-sample reliability guarantees, a critical...
View ArticleLearning Fingerprints for Medical Time Series with Redundancy-Constrained...
arXiv:2605.00130v1 Announce Type: new Abstract: Learning meaningful representations from medical time series (MedTS) such as ECG or EEG signals is a critical challenge. These signals are often...
View ArticleSmart Profit-Aware Crop Advisory System: Kisan AI
arXiv:2605.00133v1 Announce Type: new Abstract: Modern crop advisory systems exhibit a critical limitation termed \textit{economic blindness}. These systems primarily optimize for biological yield,...
View ArticleTechnical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit...
arXiv:2605.00140v1 Announce Type: new Abstract: We present Activation Residual Hessian Quantization (ARHQ), a post-training weight splitting method designed to mitigate error propagation in low-bit...
View ArticleWasserstein Distributionally Robust Regret Optimization for Reinforcement...
arXiv:2605.00155v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) has become a core post-training step for aligning large language models, yet the reward signal used in...
View ArticleConsistent Diffusion Language Models
arXiv:2605.00161v1 Announce Type: new Abstract: Diffusion language models (DLMs) are an attractive alternative to autoregressive models because they promise sublinear-time, parallel generation, yet...
View ArticleTowards A Generative Protein Evolution Machine with DPLM-Evo
arXiv:2605.00182v1 Announce Type: new Abstract: Proteins are shaped by gradual evolution under biophysical and functional constraints. Protein language models learn rich evolutionary constraints from...
View ArticleIntroducing WARM-VR: Benchmark Dataset for Multimodal Wearable Affect...
arXiv:2605.00184v1 Announce Type: new Abstract: With the growing integration of human-computer interaction into everyday life, advances in machine learning have enabled systems to better perceive and...
View Article![Cloonee, Yandel & ATLAC – Movimiento – Single [iTunes Plus M4A]](http://i.imgur.com/Q8tO40p.jpeg)
