Double Maths First Thing: Issue 38
aperiodical.com·4h
🔍Type Inference
Preparing Video Data for Deep Learning: Introducing Vid Prepper
towardsdatascience.com·1d
🎞️MKV Forensics
Bid Shading Fundamentals -
hackernoon.com·17h
🔲Cellular Automata
Automated Adaptive T-Cell Receptor Sequencing Optimization via Bayesian Hyperparameter Tuning
dev.to·1h·
Discuss: DEV
🧮Kolmogorov Complexity
3rd Largest Element: SIMD Edition
parallelprogrammer.substack.com·15h·
Discuss: Substack
⚡SIMD Optimization
SMS: Self-supervised Model Seeding for Verification of Machine Unlearning
arxiv.org·8h
🧠Machine Learning
The Causal Abstraction Network: Theory and Learning
arxiv.org·8h
🕸️Algebraic Topology
Temperature Optimisation in Data Centres
arxiv.org·8h
⚛️Information Physics
Adaptive Source-Channel Coding for Multi-User Semantic and Data Communications
arxiv.org·1d
🌊Distributed Codecs
Evaluating Double Descent in Machine Learning: Insights from Tree-Based Models Applied to a Genomic Prediction Task
arxiv.org·8h
🧠Machine Learning
GaussianLens: Localized High-Resolution Reconstruction via On-Demand Gaussian Densification
arxiv.org·8h
📐Projective Geometry
AI's Hidden Geometry: Riemannian Optimization on Manifolds
lightcapai.medium.com·4d·
Discuss: Hacker News
🌀Riemannian Computing
Adaptive AI: Unleash the Power of Dynamic Block Decoding for Faster, Smarter LLMs
dev.to·8h·
Discuss: DEV
💻Local LLMs
Anticipatory Structure in the Propagation of Signal
arxiv.org·8h
📡Information theory
ADAM: A Diverse Archive of Mankind for Evaluating and Enhancing LLMs in Biographical Reasoning
arxiv.org·1d
🏛Digital humanities
General Pruning Criteria for Fast SBL
arxiv.org·2d
⧗Information Bottleneck
Information Design With Large Language Models
arxiv.org·8h
📡Information theory
Data & Art : How do they mix?
dev.to·1h·
Discuss: DEV
📐Mathematical Art
AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size
arxiv.org·8h
💻Local LLMs
Ultra-Reliable Risk-Aggregated Sum Rate Maximization via Model-Aided Deep Learning
arxiv.org·8h
🧠Machine Learning