Riyasat Ohib

According to our database, Riyasat Ohib authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning low-dimensional dynamics from whole-brain data improves task capture.

Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince D. Calhoun

CoRR, 2023

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training.

Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

CoRR, 2023

2022

Explicit Group Sparse Projection with Applications to Deep Learning and NMF.

Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis

Trans. Mach. Learn. Res., 2022

2021

Single-Shot Pruning for Offline Reinforcement Learning.

Samin Yeasar Arnob, Riyasat Ohib, Sergey M. Plis, Doina Precup

CoRR, 2021

2019

Grouped sparse projection.

Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru

CoRR, 2019