Dusan Stosic

According to our database, Dusan Stosic authored at least 12 papers between 2016 and 2026.

Collaborative distances:

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

2026

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery.

Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao

CoRR, January, 2026

2025

Recipes for Pre-training LLMs with MXFP8.

Asit K. Mishra, Dusan Stosic, Simon Layton

CoRR, June, 2025

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

2022

A New Look at Calendar Anomalies: Multifractality and Day-of-the-Week Effect.

Darko Stosic, Dusan Stosic, Irena Vodenska, Harry Eugene Stanley, Tatijana Stosic

Entropy, 2022

FP8 Formats for Deep Learning.

Paulius Micikevicius, Dusan Stosic, Neil Burgess, Marius Cornea, Pradeep Dubey, Richard Grisenthwaite, Sangwon Ha, Alexander Heinecke, Patrick Judd, John Kamalu, Naveen Mellempudi, Stuart F. Oberman, Mohammad Shoeybi, Michael Y. Siu, Hao Wu

CoRR, 2022

2021

Distance Metric Learning through Minimization of the Free Energy.

Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Borko D. Stosic

CoRR, 2021

Search Spaces for Neural Model Training.

Darko Stosic, Dusan Stosic

CoRR, 2021

Accelerating Sparse Deep Neural Networks.

Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius

CoRR, 2021

2019

Natural image segmentation with non-extensive mixture models.

Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Tsang Ing Ren

J. Vis. Commun. Image Represent., 2019

2017

QRNN: q -Generalized Random Neural Network.

Dusan Stosic, Darko Stosic, Cleber Zanchettin, Teresa Bernarda Ludermir, Borko D. Stosic

IEEE Trans. Neural Networks Learn. Syst., 2017

2016

GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg-Landau formalism.

Darko Stosic, Dusan Stosic, Teresa Bernarda Ludermir, Borko D. Stosic, Milorad V. Milosevic

J. Comput. Phys., 2016

Voting based q-generalized extreme learning machine.

Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir

Neurocomputing, 2016