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Tomasz Grzegorzek
Observed name:
Grzegorzek, Tomasz
Observed institutions:
Nvidia (United States),
University of Warsaw
ORCID:
0000-0002-9720-4901
Observed ORCID:
0000-0002-9720-4901
OpenAlex ID:
A5035849284
Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
2023
·
Paulina Szymczak
, Marcin Możejko
, et al.
·
Nature Communications
·
228
PDF
Nemotron-4 340B Technical Report
2024
·
Nvidia
, :
, et al.
·
arXiv (Cornell University)
·
7
PDF
Author Correction: Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
2023
·
Paulina Szymczak
, Marcin Możejko
, et al.
·
Nature Communications
·
7
PDF
Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
·
1
PDF
Llama-Nemotron: Efficient Reasoning Models
2025
·
Bercovich, Akhiad
, Levy, Itay
, 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
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Data for HydrAMP - a deep generative model for antimicrobial peptide discovery
2022
·
Szymczak, Paulina
, Marcin, Możejko
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
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Works count:
10
Citation count:
243
H-index:
3
I10-index:
1
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