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09/14/2023
Stable iterative refinement algorithms for solving linear systems
Iterative refinement (IR) is a popular scheme for solving a linear syste...
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01/25/2023
Towards a Unification of Logic and Information Theory
We examine the problem of efficient transmission of logical statements f...
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12/29/2021
Active Learning of Quantum System Hamiltonians yields Query Advantage
Hamiltonian learning is an important procedure in quantum system identif...
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02/22/2021
Dither computing: a hybrid deterministic-stochastic computing framework
Stochastic computing has a long history as an alternative method of perf...
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05/28/2019
A Control-Model-Based Approach for Reinforcement Learning
We consider a new form of model-based reinforcement learning methods tha...
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05/25/2019
LUTNet: speeding up deep neural network inferencing via look-up tables
We consider the use of look-up tables (LUT) to speed up and simplify the...
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11/30/2018
Understanding Unequal Gender Classification Accuracy from Face Images
Recent work shows unequal performance of commercial face classification ...
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09/06/2018
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions
We consider a general framework for reducing the number of trainable mod...
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05/21/2018
A General Family of Robust Stochastic Operators for Reinforcement Learning
We consider a new family of operators for reinforcement learning with th...
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05/18/2018
Can machine learning identify interesting mathematics? An exploration using empirically observed laws
We explore the possibility of using machine learning to identify interes...
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05/18/2018