Rasoul Shafipour

According to our database, Rasoul Shafipour authored at least 24 papers between 2017 and 2023.

Collaborative distances:

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

2023

Microscaling Data Formats for Deep Learning.

Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung

CoRR, 2023

Shared Microexponents: A Little Shifting Goes a Long Way.

Bita Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lei Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov

CoRR, 2023

With Shared Microexponents, A Little Shifting Goes a Long Way.

Bita Darvish Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lai Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia (Summer) Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Towards accelerated greedy sampling and reconstruction of bandlimited graph signals.

Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos

Signal Process., 2022

2021

Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures.

Mostafa Rahmani, Rasoul Shafipour, Ping Li

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information.

Rasoul Shafipour, Gonzalo Mateos

Algorithms, 2020

Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity.

Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online proximal gradient for learning graphs from streaming signals.

Rasoul Shafipour, Gonzalo Mateos

Proceedings of the 28th European Signal Processing Conference, 2020

2019

A Directed Graph Fourier Transform With Spread Frequency Components.

Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova

IEEE Trans. Signal Process., 2019

A Windowed Digraph Fourier Transform.

Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos

Proceedings of the IEEE International Conference on Acoustics, 2019

Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings.

Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Online Topology Inference from Streaming Stationary Graph Signals.

Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo

Proceedings of the IEEE Data Science Workshop, 2019

Online Network Topology Inference with Partial Connectivity Informatio.

Rasoul Shafipour, Gonzalo Mateos

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals.

Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos

CoRR, 2018

Identifying Undirected Network Structure via Semidefinite Relaxation.

Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Digraph Fourier Transform via Spectral Dispersion Minimization.

Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation.

Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals.

Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs.

Chang Ye, Rasoul Shafipour, Gonzalo Mateos

Proceedings of the 26th European Signal Processing Conference, 2018

Directed Network Topology Inference via Graph Filter Identification.

Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs.

Rasoul Shafipour, Gonzalo Mateos

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Closing the Knowledge Gap in an Online Learning Community: Network-Analytic Discoveries, Simulation and Prediction.

Rasoul Shafipour, Raiyan Abdul Baten, Md. Kamrul Hasan, Gourab Ghoshal, Gonzalo Mateos, Mohammed E. Hoque

CoRR, 2017

Network topology inference from non-stationary graph signals.

Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A digraph fourier transform with spread frequency components.

Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017