PSA: Anyone with a link can view your Granola notes by default | The Verge
Granola, the AI-powered note-taking app, makes your notes viewable by anyone with a link by default. It also turns on AI training for any...
ML algorithms, training, and inference
Granola, the AI-powered note-taking app, makes your notes viewable by anyone with a link by default. It also turns on AI training for any...
Hey everyone, We have been working on a real-time camera engine for iOS that currently uses a purely deterministic Computer Vision approa...
We did experiments comparing Optuna & autoresearch. Autoresearch converges faster, is more cost-efficient, and even generalizes bette...
Abstract page for arXiv paper 2603.24764: Synthetic Cardiac MRI Image Generation using Deep Generative Models
Abstract page for arXiv paper 2603.25052: Closing the Confidence-Faithfulness Gap in Large Language Models
Abstract page for arXiv paper 2603.24752: Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical...
Abstract page for arXiv paper 2603.25006: Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
Abstract page for arXiv paper 2603.24989: Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
Abstract page for arXiv paper 2603.24986: Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
Abstract page for arXiv paper 2603.24705: Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
Abstract page for arXiv paper 2603.24704: Conformal Selective Prediction with General Risk Control
Abstract page for arXiv paper 2603.24654: Spectral methods: crucial for machine learning, natural for quantum computers?
Abstract page for arXiv paper 2603.24652: Demystifying When Pruning Works via Representation Hierarchies
Abstract page for arXiv paper 2603.24940: Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-i...
Abstract page for arXiv paper 2603.24936: TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Opti...
Abstract page for arXiv paper 2603.24626: A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
Abstract page for arXiv paper 2603.24617: Multi-LLM Query Optimization
Abstract page for arXiv paper 2603.24898: Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Cli...
Abstract page for arXiv paper 2603.24598: Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
Abstract page for arXiv paper 2603.25699: Neural Network Conversion of Machine Learning Pipelines
Abstract page for arXiv paper 2603.24891: Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparamet...
Abstract page for arXiv paper 2603.25692: A Unified Memory Perspective for Probabilistic Trustworthy AI
Abstract page for arXiv paper 2603.25687: On Neural Scaling Laws for Weather Emulation through Continual Training
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime