Brian Jalaian
Brian Jalaian
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Deep Learning
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting
Hamiltonian Monte Carlo (HMC) is a Markov chain Monte Carlo (MCMC) approach that exhibits favourable exploration properties in …
Adam D. Cobb
,
Brian Jalaian
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Graph Neural Networks with Adaptive Frequency Response Filter
Graph Neural Networks have recently become a prevailing paradigm for various high-impact graph learning tasks. Existing efforts can be …
Yushun Dong
,
Kaize Ding
,
Brian Jalaian
,
Shuiwang Ji
,
Jundong Li
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Code
Machine learning raw network traffic detection
Increasingly cyber-attacks are sophisticated and occur rapidly, necessitating the use of machine learning techniques for detection at …
Michael J. De Lucia
,
Paul E. Maxwell
,
Nathaniel D. Bastian
,
Ananthram Swami
,
Brian Jalaian
,
Nandi Leslie
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An example of using the in-built project page.
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