All Articles
18146 articles total
Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking
Presents Latent Gaussian Splatting (LaGS) for 4D panoptic occupancy tracking in dynamic robotic environments.
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction
Reports on the MAMA-MIA Challenge, a benchmark for breast MRI tumor segmentation and treatment response prediction using AI.
ZeSTA: Zero-Shot TTS Augmentation with Domain-Conditioned Training for Data-Efficient Personalized Speech Synthesis
Introduces ZeSTA, a domain-conditioned training framework for data-efficient personalized speech synthesis using zero-shot TTS augmentation.
Class-Incremental Motion Forecasting
Proposes an end-to-end framework for class-incremental motion forecasting in autonomous vehicles to adapt to new object classes without forgetting.
The Autonomy Tax: Defense Training Breaks LLM Agents
Analyzes the 'Autonomy Tax,' showing how defense training against prompt injections often degrades the competence of multi-step LLM agents.
How to feed a dictator
A discussion thread on Hacker News titled 'How to feed a dictator'.
A Love Story
A Hacker News post titled 'A Love Story'.
Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
Introduces Visual Attentive Prompting (VAP), a training-free adapter that enables Vision-Language-Action models to identify and manipulate specific user-defined objects.
Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI
Develops DeepHHF, a deep learning model using 24-hour ECG data to predict heart failure risk with a high degree of accuracy and explainability.
AI-enhanced tuning of quantum dot Hamiltonians toward Majorana modes
Proposes a neural network model to autotune quantum dot simulators toward Majorana modes using unsupervised learning on conductance maps.
Movement Primitives in Robotics: A Comprehensive Survey
A comprehensive survey of movement primitives in robotics, detailing frameworks for representing and generating motor commands through human demonstrations.
PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms
Presents PiDR, a physics-informed inertial dead-reckoning framework that improves navigation accuracy for autonomous platforms without GNSS or visual data.
Policy-Embedded Graph Expansion: Networked HIV Testing with Diffusion-Driven Network Samples
Introduces PEGE and DDB, a framework and diffusion-based model for improving the efficiency of network-based HIV testing in data-limited settings.
Bi-Anchor Interpolation Solver for Accelerating Generative Modeling
Introduces the BA-solver, which uses a lightweight SideNet to accelerate generative Flow Matching models by reducing required neural function evaluations.
Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
Proposes PAVE, a regularization framework for actor-critic methods that stabilizes the Q-gradient field to prevent erratic policy oscillations in physical robots.
Aikido Code Audit
A discussion regarding a code audit performed by Aikido.
A record 242 US cities now have starter homes that cost $1M
Reports on the rising cost of starter homes in various US cities, noting that many now exceed $1M.
Oranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning
Introduces Oranits, a system for mission assignment and task offloading in Open RAN-based intelligent transportation systems using metaheuristics and DRL.
Charting the Future of Scholarly Knowledge with AI: A Community Perspective
Discusses the need for AI-enabled approaches and cross-disciplinary dialogue to better structure and synthesize scholarly knowledge.
From Construction to Injection: Edit-Based Fingerprints for Large Language Models
Proposes an end-to-end fingerprinting framework using code-mixing and multi-candidate editing to protect LLMs from unauthorized redistribution.