Diffeomorphic Neural Operator Learning
arxiv.org·5d
🧮Linear Algebra
Towards MR-Based Trochleoplasty Planning
arxiv.org·6d
🎨Computer Graphics
Clinically-guided Data Synthesis for Laryngeal Lesion Detection
arxiv.org·6d
🕯️Candle
A Multimodal Framework for Understanding Collaborative Design Processes
arxiv.org·6d
🕸️WebAssembly
SAGOnline: Segment Any Gaussians Online
arxiv.org·5d
🎨Computer Graphics
On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making
arxiv.org·5d
🤖AI
MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams
arxiv.org·5d
🕯️Candle
From Platform Migration to Cultural Integration: the Ingress and Diffusion of #wlw from TikTok to RedNote in Queer Women
arxiv.org·5d
📈Graph Algorithms
BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
arxiv.org·5d
🕯️Candle
Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays
arxiv.org·5d
🎨Computer Graphics
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
arxiv.org·5d
📈Graph Algorithms
A YouTube Video Will Probably Never Help You Quit YouTube
lesswrong.com·3d
🤖AI
Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
arxiv.org·4d
🕯️Candle
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
arxiv.org·6d
🤖AI
Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making
arxiv.org·6d
🤖AI
VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
arxiv.org·6d
🕯️Candle
MIND: A Noise-Adaptive Denoising Framework for Medical Images Integrating Multi-Scale Transformer
arxiv.org·5d
🤖AI
MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification
arxiv.org·5d
🦾Rust ML
InfoCausalQA:Can Models Perform Non-explicit Causal Reasoning Based on Infographic?
arxiv.org·6d
🤖AI
Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients
arxiv.org·6d
🤖AI