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Exploiting the Degrees of Freedom: Multi-Dimensional Spatially-Coupled Codes Based on Gradient Descent  🔢Binary Embeddings
arxiv.org·3d·
Moiré engineering of Cooper-pair density modulation states  ⚛️Physics
nature.com·1d·
zoning out and digestion  🎯Deep Work
ordinary.vision·6d·
AI Isn’t Lightening Workloads. It’s Making Them More Intense. The technology is increasing the speed, density and complexity of work rather than reducing it, ne...  🎯Deep Work
wsj.com·3d·
Zoning in on Marolles, Brussels: ‘A friendly, cosmopolitan village where everyone is welcome’  🍽️Brooklyn Food Scene
theguardian.com·3d·
Route-Induced Density and Stability (RIDE): Controlled Intervention and Mechanism Analysis of Routing-Style Meta Prompts on LLM Internal States  🪄Prompt Engineering
arxiv.org·1d·
Differential cellulose distribution drives polarized growth of cotton fibers  🌾Flour Science
nature.com·13h·
Deep Networks Favor Simple Data  📊Vector Databases
arxiv.org·17h·
A language-theoretic approach to study the density of subsets in free groups  🔁Finite Automata
arxiv.org·1d·
Symbolic Density Estimation: A Decompositional Approach  📊Vector Databases
arxiv.org·2d·
Synergistic dual anion regulation unlocks giant thermopower and power density in hydrogel  🔋Energy Storage Systems
nature.com·3d·
A Density-Delay Law for Stable Event-Driven State Progression in Open Distributed Systems  🤝Distributed Consensus
arxiv.org·2d·
Capturing Multivariate Dependencies of EV Charging Events: From Parametric Copulas to Neural Density Estimation  🧠LLM Inference
arxiv.org·1d·
AutoStan: Autonomous Bayesian Model Improvement via Predictive Feedback  🔗ONNX
arxiv.org·2d·
From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability  🧠LLM Inference
arxiv.org·1d·
The Self-Replication Phase Diagram: Mapping Where Life Becomes Possible in Cellular Automata Rule Space  🗳️Raft Consensus
arxiv.org·6d·
Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression  📊Vector Databases
arxiv.org·3d·
Density-aware Soft Context Compression with Semi-Dynamic Compression Ratio  🗜️Zstd
arxiv.org·3d·
Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis  📊Vector Databases
arxiv.org·6d·
Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation  📊Vector Databases
arxiv.org·3d·

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