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NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
Reasoning Models report from NVIDIA with 9 connected researchers in the LLMpeople atlas.
Connected researchers
Mona Jalal
NVIDIA
Mona Jalal is a computer vision research engineer at Toyota Material Handling. Her homepage says she leads 3D computer vision work such as 6D object pose estimation and synthetic data generation, previously worked as an R&D engineer at UC Berkeley's FHL VIVE Center, completed doctoral study in computer vision at Boston University, and earlier earned master's degrees in computer sciences and electrical engineering from the University of Wisconsin-Madison.
Bryan Catanzaro
NVIDIA
Vice President of Applied Deep Learning Research at NVIDIA, leading work on conversational AI, generative AI, and accelerated deep learning software.
Ching-Yao Chuang
NVIDIA
Ching-Yao Chuang is a researcher at OpenAI working on multimodal and generative AI systems. His homepage lists prior roles at xAI and Meta GenAI and a PhD from MIT.
Ming-Yu Liu
NVIDIA
Ming-Yu Liu is a vice president of research at NVIDIA and an IEEE Fellow. He leads the Deep Imagination Research group, which focuses on deep generative models for content creation and foundation models for physical AI. He previously held research leadership roles at Mercedes-Benz Research and Development North America and National Tsing Hua University, and he earned degrees from National Taiwan University, National Chiao Tung University, and the University of Illinois Urbana-Champaign.
Junxian He
NVIDIA
Junxian He is an assistant professor in computer science and engineering at the Hong Kong University of Science and Technology. His public homepage and Princeton profile say he works at the intersection of natural language processing and machine learning, focusing on scalable methods for language model training and reasoning, completed a PhD in computer science at Princeton University in 2024, and previously earned bachelor's degrees in economics and computer science from Peking University.
Yeonwoo Choi
NVIDIA
Yeonwoo Choi is listed as an author of the NVIDIA technical report NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model.
Abhinav Khattar
NVIDIA
Abhinav Khattar is a research scientist at NVIDIA working on LLM alignment, customization, and machine translation. Before joining NVIDIA, he earned a master's degree in computer science from Carnegie Mellon University and worked on information retrieval and speech recognition.
Junchen Liu
NVIDIA
Researcher at NVIDIA and coauthor of the Nemotron Nano 2 report.
Kartikeya Mangalam
NVIDIA
Kartikeya Mangalam is a PhD student in computer vision at UC Berkeley advised by Jitendra Malik. His public homepage says he previously held a visiting researcher role at Meta AI, studied in Stanford CS, graduated summa cum laude in electrical engineering with a machine learning minor from IIT Kanpur, and works on computer vision, video understanding, and human motion analysis.