activity
20202022
most citedGraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules

56 citations · 56 across the 5 of their papers we have counts for

collaborators

6 papers

cs.PL2022

Compiling Structured Tensor Algebra

Mahdi Ghorbani, Mathieu Huot, Shideh Hashemian +1

Tensor algebra is essential for data-intensive workloads in various computational domains. Computational scientists face a trade-off between the specialization degree provided by d…

cs.PL2022

Hinted Dictionaries: Efficient Functional Ordered Sets and Maps

Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi

This article introduces hinted dictionaries for expressing efficient ordered sets and maps functionally. As opposed to the traditional ordered dictionaries with logarithmic operati…

physics.comp-ph2022★ 56 cited

GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules

Mahdi Ghorbani, Samarjeet Prasad, Jeffery B. Klauda +1

Finding low dimensional representation of data from long-timescale trajectories of biomolecular processes such as protein-folding or ligand-receptor binding is of fundamental impor…

cs.DB2021

Fine-Tuning Data Structures for Analytical Query Processing

Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani

We introduce a framework for automatically choosing data structures to support efficient computation of analytical workloads. Our contributions are twofold. First, we introduce a n…

q-bio.BM2021

Variational embedding of protein folding simulations using gaussian mixture variational autoencoders

Mahdi Ghorbani, Samarjeet Prasad, Jeffery B. Klauda +1

Conformational sampling of biomolecules using molecular dynamics simulations often produces large amount of high dimensional data that makes it difficult to interpret using convent…

cs.CV2020

Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer

Mahdi Ghorbani, Fahimeh Fooladgar, Shohreh Kasaei

Deep neural network architectures have attained remarkable improvements in scene understanding tasks. Utilizing an efficient model is one of the most important constraints for limi…