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Journal Articles
- 2022
[j5]Darko Stosic, Dusan Stosic, Irena Vodenska
, Harry Eugene Stanley, Tatijana Stosic:
A New Look at Calendar Anomalies: Multifractality and Day-of-the-Week Effect. Entropy 24(4): 562 (2022)- 2019
- [j4]Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Tsang Ing Ren:
Natural image segmentation with non-extensive mixture models. J. Vis. Commun. Image Represent. 63 (2019) - 2017
- [j3]Dusan Stosic, Darko Stosic, Cleber Zanchettin, Teresa Bernarda Ludermir, Borko D. Stosic:
QRNN: q -Generalized Random Neural Network. IEEE Trans. Neural Networks Learn. Syst. 28(2): 383-390 (2017) - 2016
- [j2]Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir:
Voting based q-generalized extreme learning machine. Neurocomputing 174: 1021-1030 (2016) - [j1]Darko Stosic, Dusan Stosic, Teresa Bernarda Ludermir, Borko D. Stosic, Milorad V. Milosevic:
GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg-Landau formalism. J. Comput. Phys. 322: 183-198 (2016)
Informal and Other Publications
- 2025
- [i6]Aaron Blakeman, Aarti Basant, Abhinav Khattar, Adithya Renduchintala, Akhiad Bercovich, Aleksander Ficek, Alexis Bjorlin, Ali Taghibakhshi, Amala Sanjay Deshmukh, Ameya Sunil Mahabaleshwarkar, Andrew Tao, Anna Shors, Ashwath Aithal, Ashwin Poojary, Ayush Dattagupta, Balaram Buddharaju, Bobby Chen, Boris Ginsburg, Boxin Wang, Brandon Norick, Brian Butterfield, Bryan Catanzaro, Carlo del Mundo, Chengyu Dong, Christine Harvey, Christopher Parisien, Dan Su, Daniel Korzekwa, Danny Yin, Daria Gitman, David Mosallanezhad, Deepak Narayanan, Denys Fridman, Dima Rekesh, Ding Ma, Dmytro Pykhtar, Dong Ahn, Duncan Riach, Dusan Stosic, Eileen Long, Elad Segal, Ellie Evans, Eric Chung, Erick Galinkin, Evelina Bakhturina, Ewa Dobrowolska, Fei Jia, Fuxiao Liu, Gargi Prasad, Gerald Shen, Guilin Liu, Guo Chen, Haifeng Qian, Helen Ngo, Hongbin Liu, Hui Li, Igor Gitman, Ilia Karmanov, Ivan Moshkov, Izik Golan, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jarno Seppänen, Jason Lu, Jason Sewall, Jiaqi Zeng, Jiaxuan You, Jimmy Zhang, Jing Zhang, Jining Huang, Jinze Xue, Jocelyn Huang, Joey Conway, John Kamalu, Jon Barker, Jonathan M. Cohen, Joseph Jennings, Jupinder Parmar, Karan Sapra, Kari Briski, Kateryna Chumachenko, Katherine Luna, Keshav Santhanam, Kezhi Kong, Kirthi Sivamani, Krzysztof Pawelec, Kumar Anik, Kunlun Li, Lawrence McAfee, Leon Derczynski, Lindsey Pavao, Luis Vega, Lukas Voegtle, Maciej Bala, Maer Rodrigues de Melo, Makesh Narsimhan Sreedhar, Marcin Chochowski, Markus Kliegl:
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. CoRR abs/2504.03624 (2025) - 2023
- [i5]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
- [i4]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:
FP8 Formats for Deep Learning. CoRR abs/2209.05433 (2022) - 2021
- [i3]Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius:
Accelerating Sparse Deep Neural Networks. CoRR abs/2104.08378 (2021) - [i2]Darko Stosic, Dusan Stosic:
Search Spaces for Neural Model Training. CoRR abs/2105.12920 (2021) - [i1]Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Borko D. Stosic:
Distance Metric Learning through Minimization of the Free Energy. CoRR abs/2106.05495 (2021)
Coauthor Index
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