Road Mapping in Low Data Environments with OpenStreetMap. - John Kamalu; Benjamin Choi (CoRR, 2020)

Crowd-Sourced Road Quality Mapping in the Developing World. - Benjamin Choi; John Kamalu (CoRR, 2020)

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; et al. (CoRR, 2022)

Nemotron-4 15B Technical Report. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Mostofa Patwary; Sandeep Subramanian; Dan Su 003; Chen Zhu 001; Deepak Narayanan; Aastha Jhunjhunwala; Ayush Dattagupta; Vibhu Jawa; Jiwei Liu; et al. (CoRR, 2024)

Nemotron-4 340B Technical Report. - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs. - Syeda Nahida Akter; Shrimai Prabhumoye; John Kamalu; Sanjeev Satheesh; Eric Nyberg; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (ICLR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - 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; et al. (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)