#arXiv #machinelearning [csLG] Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models bit.ly/3Bs5oYd #mw arXiv:2410.00131v1 Announce Type: new Abstract: As a promising paradigm to collaboratively train models with decentralized da…

#arXiv #machinelearning [csLG] Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning bit.ly/47ObwGk #mw arXiv:2410.00121v1 Announce Type: new Abstract: Intracranial aneurysms (IAs) that rupture result in significant morbi…

#arXiv #machinelearning [csLG] Fine-tuning Vision Classifiers On A Budget bit.ly/3zHhegu #mw arXiv:2410.00085v1 Announce Type: new Abstract: Fine-tuning modern computer vision models requires accurately labeled data for which the ground truth may not exist, but a set…

#arXiv #machinelearning [csLG] A Survey on Diffusion Models for Inverse Problems bit.ly/4gNcHtw #mw arXiv:2410.00083v1 Announce Type: new Abstract: Diffusion models have become increasingly popular for generative modeling due to their ability to generate high-quality…

#arXiv #machinelearning [csLG] Collaborative Knowledge Distillation via a Learning-by-Education Node Community bit.ly/4gJSHYN #mw arXiv:2410.00074v1 Announce Type: new Abstract: A novel Learning-by-Education Node Community framework (LENC) for Collaborative Knowledge…

#arXiv #machinelearning [csLG] M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning bit.ly/3zImaBI #mw arXiv:2410.00064v1 Announce Type: new Abstract: Lifelong imitation learning for manipulation tasks poses significant challenges due to distribution s…

#arXiv #machinelearning [csLG] Neural Decompiling of Tracr Transformers bit.ly/3Nb0P7c #mw arXiv:2410.00061v1 Announce Type: new Abstract: Recently, the transformer architecture has enabled substantial progress in many areas of pattern recognition and machine learnin…

#arXiv #machinelearning [csLG] STTM: A New Approach Based Spatial-Temporal Transformer And Memory Network For Real-time Pressure Signal In On-demand Food Delivery bit.ly/3zI352z #mw arXiv:2410.00057v1 Announce Type: new Abstract: On-demand Food Delivery (OFD) service…

#arXiv #machinelearning [csLG] Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories bit.ly/4eMNuO5 #mw arXiv:2410.00054v1 Announce Type: new Abstract: Semantic trajectories, which enrich spatial-temporal data with textual information …

#arXiv #machinelearning [csLG] Frequency-adaptive Multi-scale Deep Neural Networks bit.ly/47Ov9hw #mw arXiv:2410.00053v1 Announce Type: new Abstract: Multi-scale deep neural networks (MscaleDNNs) with downing-scaling mapping have demonstrated superiority over traditi…

#arXiv #machinelearning [csLG] DelayPTC-LLM: Metro Passenger Travel Choice Prediction under Train Delays with Large Language Models bit.ly/4ePgBk3 #mw arXiv:2410.00052v1 Announce Type: new Abstract: Train delays can propagate rapidly throughout the Urban Rail Transit…

#arXiv #machinelearning [csLG] Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization bit.ly/4eJEhWS #mw arXiv:2410.00051v1 Announce Type: new Abstract: With high-dimensional state spaces, visual rein… bit.ly/4gKZBgz.

#arXiv #machinelearning [csLG] CycleBNN: Cyclic Precision Training in Binary Neural Networks bit.ly/3BryUgB #mw arXiv:2410.00050v1 Announce Type: new Abstract: This paper works on Binary Neural Networks (BNNs), a promising avenue for eff… \url{bit.ly/3BpKl8L}

#arXiv #machinelearning [csLG] Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph bit.ly/3N8ZxcP #mw arXiv:2410.00049v1 Announce Type: new Abstract: Effective epidemic forecasting is critical for public health strategies… bit.ly/3N8tj1j.

#arXiv #machinelearning [csLG] A Novel Spinor-Based Embedding Model for Transformers bit.ly/4gMpSuW #mw arXiv:2410.00038v1 Announce Type: new Abstract: This paper proposes a novel approach to word embeddings in Transformer models by utilizing spinors from geometric a…

#arXiv #machinelearning [csLG] Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review bit.ly/3zI366D #mw arXiv:2410.00034v1 Announce Type: new Abstract: The integration of Artificial Intelligence (AI) and the Internet of Medical Thin…

#arXiv #machinelearning [csLG] TREB: a BERT attempt for imputing tabular data imputation bit.ly/4eLcBRv #mw arXiv:2410.00022v1 Announce Type: new Abstract: TREB, a novel tabular imputation framework utilizing BERT, introduces a groundbreaking approach for handling mi…

1/ 🚀 Today, we are thrilled to announce the launch of GenBio AI, a new startup aiming to develop the world’s first AI-Driven Digital Organism (AIDO)! A new era in biology and artificial intelligence has begun. 🧬✨ Here’s how we’re transforming research with multiscale

1/ "GenBio AI’s mission is to create a system used by anyone to start asking questions at the biological level. What was previously impossible is now achievable with the right compute, data, and training," shared GenBio AI Co-Founder and Chief Scientist Eric Xing. #WEF2025

📢 Upcoming Seminar: Mapping Cells Through Time and Space With Moscot Join Dominik Klein as he introduces moscot, an open-source framework using optimal transport to reconstruct cellular trajectories and enhance multimodal single-cell analysis to uncover key biological