Riyasat Ohib

According to our database, Riyasat Ohib authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Learning to Query History: Nonstationary Classification via Learned Retrieval.

Jimmy Gammell, Bishal Thapaliya, Yoon Jung, Riyasat Ohib, Bilel Fehri, Deepayan Chakrabarti

CoRR, April, 2026

SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning.

Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

Trans. Mach. Learn. Res., 2026

2025

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts.

Samin Yeasar Arnob, Zhan Su, Minseon Kim, Oleksiy Ostapenko, Riyasat Ohib, Esra'a Saleh, Doina Precup, Lucas Caccia, Alessandro Sordoni

CoRR, July, 2025

2024

Efficient federated learning for distributed neuroimaging data.

Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

Frontiers Neuroinformatics, 2024

Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning.

Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

CoRR, 2024

Efficient Reinforcement Learning by Discovering Neural Pathways.

Samin Yeasar Arnob, Riyasat Ohib, Sergey M. Plis, Amy Zhang, Alessandro Sordoni, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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