1 citations · 1 across the 2 of their papers we have counts for
3 papers
When Sparsity Breaks Connectivity: Functional Reachability and Guided Topology Dynamics in Extreme Sparse Training
Mohammad Pasande, Mateusz Jaworski, Jeroen Rook +1
Dynamic Sparse Training (DST) periodically prunes and regrows connections, inducing a discrete dynamical mechanism over network topologies. At extreme sparsity (), this d…
Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning
Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello +2
Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic Graph (DAG) discover…
Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model
Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi
Gaussian Mixture Models (GMMs) are one of the most potent parametric density models used extensively in many applications. Flexibly-tied factorization of the covariance matrices in…