90 citations · 166 across the 19 of their papers we have counts for
5 papers · 1 filter
Record values in appending and prepending bitstrings to runs of binary digits
Chai Wah Wu
In this short note, we show a simple characterization of integers that reach records for a sequence described by adding binary strings to runs of 1's and 0's in a binary representa…
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions
Chai Wah Wu
We consider a general framework for reducing the number of trainable model parameters in deep learning networks by decomposing linear operators as a product of sums of simpler line…
A General Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
We consider a new family of operators for reinforcement learning with the goal of alleviating the negative effects and becoming more robust to approximation or estimation errors. V…
Can machine learning identify interesting mathematics? An exploration using empirically observed laws
Chai Wah Wu
We explore the possibility of using machine learning to identify interesting mathematical structures by using certain quantities that serve as fingerprints. In particular, we extra…
Designing communication systems via iterative improvement: error correction coding with Bayes decoder and codebook optimized for source symbol error
Chai Wah Wu
In most error correction coding (ECC) frameworks, the typical error metric is the bit error rate (BER) which measures the number of bit errors. For this metric, the positions of th…