All Articles
16086 articles total
Crossing-Free Probabilistic K-Line Forecasts Without Retraining
KQSP is proposed as a training-free method to resolve quantile and K-line crossing inconsistencies in probabilistic financial forecasting.
FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning
FedTopo introduces relation-level topology sharing to enable federated learning across clients with heterogeneous model architectures.
Tasklet (YC P26) Is Hiring a Customer Success Engineer
Tasklet is hiring a Customer Success Engineer.
How A Gang of Thieves Pulled Off a Multimillion-Dollar Data Center Heist
A detailed account of a multi-million dollar heist targeting a data center.
Repeat founder Ryan Williams raises $10M seed for an AI startup for private credit managers
Ryan Williams has raised $10M in seed funding for Ellis AI, a startup focused on AI for private credit managers.
This tattoo is permanent, pain-free, and might soon come in the mail
A report on a new, painless permanent tattoo technology that uses AI-inspired imagery.
Apple TV’s Cape Fear remake turns it into a paranoid tech thriller
Apple TV's remake of Cape Fear is described as a paranoid tech thriller reflecting modern technological distrust.
Multimodal fusion of visual and morphometric features for avian bone classification
A proof-of-concept multimodal framework using CNNs and morphometric features to classify avian bone remains in zooarchaeology.
An Attention-Based Framework for Alzheimers Disease Classification Using Resting-State fMRI
An attention-based deep learning framework using Transformers to classify Alzheimer's disease from resting-state fMRI data.
Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text
A study comparing GRU and Mamba-based decoders for intracortical brain-to-text translation using phonetic and character targets.
Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification
Research on using robust data augmentations to improve the out-of-domain generalization of dermoscopic skin cancer classifiers.
MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source Software Entities
MediaWiki Code2Code Search is a neural retrieval system for semantic code discovery across MediaWiki repositories using FAISS IVF-PQ indexing.
Physically Real-time Infrared Attack against Optical Flow Estimation Networks
Researchers developed a real-time physical attack on Optical Flow Estimation Networks using infrared lights to compromise autonomous driving and motion detection systems.
Constitutional Midtraining: Content Presence Drives Alignment Gains
A study introduces constitutional midtraining, integrating principled values-based content into the training process of 120B scale models to improve alignment durability.
Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection
VulAgentRL is a new agentic reinforcement learning framework that uses Code Property Graphs to detect interprocedural vulnerabilities in software.
Scientific Knowledge Discovery in the Age of Large Language Models
A survey paper examines the application of generative LLMs for scientific knowledge discovery, specifically literature retrieval and screening.
Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
ERAHBO is proposed as a risk-aware Bayesian Optimization method to efficiently tune hyperparameters in stochastic reinforcement learning environments.
MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Generation
MPEcho is a generative framework for controllable cover song generation that uses a new transcription model, Phonsa, to improve lyric accuracy.
Automated Multilabel Mpox Research Classification with Explainable Transformer Models
A research project uses BERT and SHAP to automate the multilabel classification of Mpox research articles for better public health organization.
FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
FARI introduces a one-step inversion framework for faster and more robust watermarking in diffusion models via adversarial LoRA fine-tuning.