Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming
arxiv.org·1d
📊Quantization
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mikeizbicki/HLearn
github.com·7h
🔗Monadic Parsing
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The Complete Guide to Vector Databases for Machine Learning
machinelearningmastery.com·16h
🗂️Vector Databases
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High-Dimensional BWDM: A Robust Nonparametric Clustering Validation Index for Large-Scale Data
arxiv.org·1d
🌊Spectral Clustering
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The Best Way to Learn Might Be Starting at the End
interjectedfuture.com·2h
⚔️Lean Tactics
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Order from Chaos: Comparative Study of Ten Leading LLMs on Unstructured Data Categorization
arxiv.org·1d
🧮Kolmogorov Complexity
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Machine Learning Meets Panel Data: What Practitioners Need to Know
towardsdatascience.com·15h
🎵Audio ML
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Information Shapes Koopman Representation
arxiv.org·2d
🧮Kolmogorov Complexity
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Leveraging Learned Image Prior for 3D Gaussian Compression
arxiv.org·1d
🧠Learned Compression
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Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
arxiv.org·1d
🌀Differential Geometry
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Scalable Pattern Recognition via Stochastic Hyperdimensional Recurrence in Flexible Electronics
📊Quantization
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Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
arxiv.org·2d
🧮Kolmogorov Bounds
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SHaRe-SSM: An Oscillatory Spiking Neural Network for Target Variable Modeling in Long Sequences
arxiv.org·1d
🧠Neural Compression
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Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems
arxiv.org·1d
📊Rate-Distortion Theory
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Information-Theoretic Criteria for Knowledge Distillation in Multimodal Learning
arxiv.org·2d
📈Mutual Information
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Redundancy as a Structural Information Principle for Learning and Generalization
arxiv.org·4d
📡Information theory
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