Why LLMs cannot reach GenAI, but why it looked like they could
haversine.substack.comยท22hยท
Discuss: Substack
๐Ÿง Intelligence Compression
Detecting Invariant Manifolds in ReLU-Based RNNs
arxiv.orgยท4d
๐ŸŒ€Riemannian Computing
Automated Fault Isolation & Healing in Linear Control Systems via Multi-Modal Data Fusion & Reinforcement Learning
dev.toยท14hยท
Discuss: DEV
๐Ÿ›ก๏ธError Boundaries
Conformalized Gaussian processes for online uncertainty quantification over graphs
arxiv.orgยท3d
๐ŸงฎKolmogorov Bounds
Sales pitch about why you should learn statistics
minireference.comยท1d
๐Ÿง Intelligence Compression
A Noise Resilient Approach for Robust Hurst Exponent Estimation
arxiv.orgยท4d
๐Ÿง Machine Learning
Digital Twins for Intelligent Intersections: A Literature Review
arxiv.orgยท3d
๐ŸŒ€Differential Geometry
From Defender to Devil? Unintended Risk Interactions Induced by LLM Defenses
arxiv.orgยท1d
โœจEffect Handlers
SALAD: Self-Adaptive Link Adaptation
arxiv.orgยท3d
โง—Information Bottleneck
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
arxiv.orgยท1d
๐Ÿง Learned Codecs
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
arxiv.orgยท1d
๐Ÿง Machine Learning
Real-time Anomaly Detection in Financial Transactions via Hybrid Reinforcement Learning and Graph Neural Networks
dev.toยท3hยท
Discuss: DEV
๐Ÿ”Vector Forensics
Quantum advantage from random geometrically-two-local Hamiltonian dynamics
arxiv.orgยท2d
๐Ÿ•ธ๏ธTensor Networks
Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness
arxiv.orgยท2d
๐Ÿง Intelligence Compression
LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation
arxiv.orgยท1d
๐Ÿง Learned Codecs
Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
arxiv.orgยท1d
๐Ÿ”Vector Forensics
Leveraging Normalizing Flows for Conservative 6D Beam Reconstruction: Conclusions and Extensions
hackernoon.comยท3d
๐ŸบComputational Archaeology
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
arxiv.orgยท1d
๐ŸŒ€Riemannian Computing