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ORCIDRasoul Shafipour
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2020 – today
- 2023
[c17]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:
With Shared Microexponents, A Little Shifting Goes a Long Way. ISCA 2023: 83:1-83:13- [i8]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:
Shared Microexponents: A Little Shifting Goes a Long Way. CoRR abs/2302.08007 (2023) - [i7]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:
Microscaling Data Formats for Deep Learning. CoRR abs/2310.10537 (2023) - 2022
- [j3]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. 195: 108505 (2022) - 2021
- [c16]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. ACSCC 2021: 1551-1557 - [i6]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. CoRR abs/2108.07028 (2021) - 2020
- [j2]Rasoul Shafipour, Gonzalo Mateos:
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. Algorithms 13(9): 228 (2020) - [c15]Rasoul Shafipour, Gonzalo Mateos:
Online proximal gradient for learning graphs from streaming signals. EUSIPCO 2020: 865-869 - [c14]Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang:
Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. ICASSP 2020: 9065-9069 - [i5]Rasoul Shafipour, Gonzalo Mateos:
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. CoRR abs/2007.03653 (2020)
2010 – 2019
- 2019
- [j1]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
A Directed Graph Fourier Transform With Spread Frequency Components. IEEE Trans. Signal Process. 67(4): 946-960 (2019) - [c13]Rasoul Shafipour, Gonzalo Mateos:
Online Network Topology Inference with Partial Connectivity Informatio. CAMSAP 2019: 226-230 - [c12]Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo:
Online Topology Inference from Streaming Stationary Graph Signals. DSW 2019: 140-144 - [c11]Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang:
Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. GlobalSIP 2019: 1-5 - [c10]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos:
A Windowed Digraph Fourier Transform. ICASSP 2019: 7525-7529 - 2018
- [c9]Rasoul Shafipour, Gonzalo Mateos:
Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs. ACSSC 2018: 742-746 - [c8]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Directed Network Topology Inference via Graph Filter Identification. DSW 2018: 210-214 - [c7]Chang Ye, Rasoul Shafipour, Gonzalo Mateos:
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. EUSIPCO 2018: 121-125 - [c6]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP 2018: 778-782 - [c5]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP 2018: 4049-4053 - [c4]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP 2018: 4179-4183 - [c3]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
Digraph Fourier Transform via Spectral Dispersion Minimization. ICASSP 2018: 6284-6288 - [i4]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR abs/1801.03862 (2018) - [i3]Chang Ye, Rasoul Shafipour, Gonzalo Mateos:
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. CoRR abs/1803.04072 (2018) - 2017
- [c2]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
A digraph fourier transform with spread frequency components. GlobalSIP 2017: 583-587 - [c1]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Network topology inference from non-stationary graph signals. ICASSP 2017: 5870-5874 - [i2]Rasoul Shafipour, Raiyan Abdul Baten, Md. Kamrul Hasan, Gourab Ghoshal, Gonzalo Mateos, Mohammed E. Hoque:
Closing the Knowledge Gap in an Online Learning Community: Network-Analytic Discoveries, Simulation and Prediction. CoRR abs/1707.01886 (2017) - [i1]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos:
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR abs/1711.00142 (2017)
Coauthor Index
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