Stay updated with the latest research and technology news
arXiv:2602.19683v1 Announce Type: new Abstract: Gaussian processes (GPs) are a widely used regression tool, but the cubic complexity of exact solvers limits their scalability. To...
arXiv:2602.19685v1 Announce Type: new Abstract: Building Virtual Cells that can accurately simulate cellular responses to perturbations is a long-standing goal in systems biology. A fundamental...
arXiv:2602.19686v1 Announce Type: new Abstract: Coroutines, as an abstract programming construct, are a generalization of functions that can suspend execution part- way for later resumption....
arXiv:2602.19690v1 Announce Type: new Abstract: The spread of media bias is a significant concern as political discourse shapes beliefs and opinions. Addressing this challenge computationally...
arXiv:2602.19694v1 Announce Type: new Abstract: Synthetic human mobility generation is gaining traction as an ethical and practical approach to supporting the data needs of intelligent...
arXiv:2602.19695v1 Announce Type: new Abstract: Cybersecurity awareness is shaped by a wide range of professional and personal experiences, including information and training at work and...
arXiv:2602.19697v1 Announce Type: new Abstract: Key part of robotics, augmented reality, and digital inspection is dense 3D reconstruction from depth observations. Traditional volumetric fusion techniques,...
arXiv:2602.19698v1 Announce Type: new Abstract: We present a proof-of-concept system that automates iconographic classification and content-based recommendation of digitized artworks using the Iconclass vocabulary and...
arXiv:2602.19699v1 Announce Type: new Abstract: Trajectory Optimization (TO) and Reinforcement Learning (RL) offer complementary strengths for solving optimal control problems. TO efficiently computes locally optimal...
arXiv:2602.19702v1 Announce Type: new Abstract: Multimodal recommender systems leverage diverse data sources, such as user interactions, content features, and contextual information, to address challenges like...
arXiv:2602.19706v1 Announce Type: new Abstract: Single LDR to HDR reconstruction remains challenging for over-exposed regions where traditional methods often fail due to complete information loss....
arXiv:2602.19708v1 Announce Type: new Abstract: Beyond general recognition tasks, specialized domains including privacy-constrained medical applications and fine-grained settings often encounter data scarcity, especially for tail...
arXiv:2602.19710v1 Announce Type: new Abstract: Existing Vision-Language-Action (VLA) models often suffer from feature collapse and low training efficiency because they entangle high-level perception with sparse,...
arXiv:2602.19711v1 Announce Type: new Abstract: The growing volume of digital cultural heritage resources highlights the need for advanced recommendation methods capable of interpreting semantic relationships...
arXiv:2602.19714v1 Announce Type: new Abstract: Git is widely used for collaborative software development, but it can be challenging for newcomers. While most learning tools focus...
arXiv:2602.19715v1 Announce Type: new Abstract: Deepfake detection models often generate natural-language explanations, yet their reasoning is frequently ungrounded in visual evidence, limiting reliability. Existing evaluations...
arXiv:2602.19718v1 Announce Type: new Abstract: The rapid adoption of Generative AI (GenAI) in the software development life cycle (SDLC) increases computational demand, which can raise...
arXiv:2602.19719v1 Announce Type: new Abstract: Existing methods for instance-level 6D pose estimation typically rely on neural networks that either directly regress the pose in $\mathrm{SE}(3)$...
arXiv:2602.19720v1 Announce Type: new Abstract: Multi-die FPGAs enable device scaling beyond reticle limits but introduce severe interconnect overhead across die boundaries. Inter-die connections, commonly referred...
arXiv:2602.19723v1 Announce Type: new Abstract: Synthesizing missing modalities in multi-modal magnetic resonance imaging (MRI) is vital for ensuring diagnostic completeness, particularly when full acquisitions are...
arXiv:2602.19728v1 Announce Type: new Abstract: Sequential recommender systems aim to predict a user's future interests by extracting temporal patterns from their behavioral history. Existing approaches...
arXiv:2602.19733v1 Announce Type: new Abstract: Algorithm unrolling is ubiquitous in machine learning, particularly in hyperparameter optimization and meta-learning, where Jacobians of solution mappings are computed...
arXiv:2602.19735v1 Announce Type: new Abstract: In autonomous driving, robust place recognition is critical for global localization and loop closure detection. While inter-modality fusion of camera...
arXiv:2602.19736v1 Announce Type: new Abstract: Image Super-Resolution (SR) aims to recover high-resolution (HR) details from low-resolution (LR) inputs, a task where Denoising Diffusion Probabilistic Models...