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Rybakov, Oleg

  1. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
    2025/04/04 by NVIDIA, :, Blakeman, Aaron +198 · 26 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
    2023/02/02 by Yucheng Lu, Shivani Agrawal, Lu, Yucheng +9 · 3 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  3. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
    2025/08/20 by NVIDIA, Aarti Basant, : +305 · 23 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Big Data and Digital Economy #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques
  4. Real-time Speech Frequency Bandwidth Extension
    2020/10/21 by Li, Yunpeng, Tagliasacchi, Marco, Rybakov, Oleg +2 · 2 citations
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #electronic engineering #information engineering
  5. Pretraining Large Language Models with NVFP4
    2025/09/29 by NVIDIA, Abecassis, Felix, Agrusa, Anjulie +86 · 11 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. 4-bit Conformer with Native Quantization Aware Training for Speech Recognition
    2022/03/29 by Ding, Shaojin, Meadowlark, Phoenix, He, Yanzhang +3 · 1 citation
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #electronic engineering #information engineering
  7. Methods of improving LLM training stability
    2024/10/22 by Rybakov, Oleg, Chrzanowski, Mike, Dykas, Peter +2 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. 2-bit Conformer quantization for automatic speech recognition
    2023/05/26 by Rybakov, Oleg, Meadowlark, Phoenix, Ding, Shaojin +4 · 1 citation
    #Audio and Speech Processing (eess.AS) #FOS: Electrical engineering #electronic engineering #information engineering