A unified physics-informed generative operator framework for general inverse problems
arxiv.org·8h
🖼Image Processing
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
🧠Deep Learning
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Fourier Transforms
📡Signal Processing
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Anthony Edwards returns from hamstring injury to start against Knicks
nytimes.com·13h
🤖AI
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Programming for Computations: Matlab/Octave
🔢MATLAB
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Observation of metastability in open quantum dynamics of a solid-state system
nature.com·13h
📉Time Series
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n8n Matrix Display
hackster.io·1h
🔢MATLAB
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🤖Machine Learning
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essential spectrum
ncatlab.org·2d
📈Optimization
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Topographical sparse mapping: A training framework for deep learning models
🧠Deep Learning
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Tuesday 18 November 2025
informatics.ed.ac.uk·47m
📡Signal Processing
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Approximation by Certain Complex Nevai Operators : Theory and Applications
arxiv.org·1d
📡Signal Processing
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The Coming Crunch
forbes.com·13h
📊Data Science
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r/mathematics
🔬Julia Language
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D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
arxiv.org·8h
📈Optimization
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Geonum – geometric number library for unlimited dimensions with O(1) complexity
🔬Julia Language
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NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis
towardsdatascience.com·1d
📊Data Science
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A QOJ week
🔬Julia Language
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Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
arxiv.org·8h
🤖Machine Learning
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New Asymptotic Results on Predicting Non-linear Polynomial Congruential Generators
eprint.iacr.org·1d
🤖AI
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