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Daniel Korzekwa
Observed name:
Korzekwa, Daniel
Observed institutions:
Nvidia (United Kingdom),
Nvidia (United States),
University of Warsaw
OpenAlex ID:
A5119979756
Text-free Non-parallel Many-to-many Voice Conversion Using Normalising Flows
2022
·
Thomas Merritt
, Abdelhamid Ezzerg
, et al.
·
arXiv (Cornell University)
·
2
PDF
Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
·
1
PDF
Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs
2026
·
Bercovich, Akhiad
, Abramovich, Talor
, et al.
·
arXiv (Cornell University)
PDF
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
2026
·
Taghibakhshi, Ali
, Cai, Ruisi
, et al.
·
arXiv (Cornell University)
PDF
Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs
2025
·
Taghibakhshi, Ali
, Sreenivas, Sharath Turuvekere
, et al.
·
arXiv (Cornell University)
PDF
NVIDIA Nemotron Nano V2 VL
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights
2025
·
Krajewski, Jakub
, Chochowski, Marcin
, et al.
·
arXiv (Cornell University)
PDF
Minitron-SSM: Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
2025
·
Taghibakhshi, Ali
, Sreenivas, Sharath Turuvekere
, et al.
·
arXiv (Cornell University)
PDF
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
2025
·
Ali Taghibakhshi
, Sharath Turuvekere Sreenivas
, et al.
·
neural information processing systems
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Works count:
12
Citation count:
3
H-index:
1
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