Applications of Derandomization Theory in Coding

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Applications of Derandomization Theory in Coding

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STREAMING TENSOR TRAIN APPROXIMATION

Low Power LDPC Decoding by Reliable Voltage Down-Scaling

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Distributionally Robust Linear Quadratic Control

Exploration-based model learning with self-attention for risk-sensitive robot control

The evolution of behavioral cues and signaling in displaced communication

Learning Sparse Graphons And The Generalized Kesten-Stigum Threshold

Results on Sparse Integer Programming and Geometric Independent Sets

Landscapes of DNA Mechanics and Genomes

Chaotic microcomb-based parallel ranging

Fast correlation function calculator A high-performance pair-counting toolkit