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Marcin Chochowski

Iris Recognition With Match-On-Card
2007 · Czajka, Adam, Strzelczyk, Przemek, et al. · 6
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
2024 · Nawrot, Piotr, Łańcucki, Adrian, et al. · arXiv (Cornell University) · 5
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LLM Pruning and Distillation in Practice: The Minitron Approach
2024 · Sreenivas, Sharath Turuvekere, Muralidharan, Saurav, et al. · arXiv (Cornell University) · 3
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Samsung R&D Institute Poland submission to WMT20 News Translation Task
2020 · Mateusz Krubiński, Marcin Chochowski, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3
Samsung and University of Edinburgh's System for the IWSLT 2018 Low Resource MT Task
2018 · Philip Williams, Marcin Chochowski, et al. · Edinburgh Research Explorer (University of Edinburgh) · 2
The Samsung and University of Edinburgh’s submission to IWSLT17
2017 · Paweł Przybysz, Marcin Chochowski, et al. · Edinburgh Research Explorer (University of Edinburgh) · 2
NVIDIA Nemotron 3: Efficient and Open Intelligence
2025 · NVIDIA, :, et al. · arXiv (Cornell University) · 1
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The Template Selection in Biometric Systems Based on Binary Iris Codes
2010 · Marcin Chochowski · Journal of Telecommunications and Information Technology · 1
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Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI
2026 · NVIDIA, :, et al. · arXiv (Cornell University)
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Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs
2026 · Bercovich, Akhiad, Abramovich, Talor, et al. · arXiv (Cornell University)
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Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026 · NVIDIA, :, et al. · arXiv (Cornell University)
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Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
2026 · Taghibakhshi, Ali, Cai, Ruisi, et al. · arXiv (Cornell University)
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Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs
2025 · Taghibakhshi, Ali, Sreenivas, Sharath Turuvekere, et al. · arXiv (Cornell University)
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NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
2025 · NVIDIA, :, et al. · arXiv (Cornell University)
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Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights
2025 · Krajewski, Jakub, Chochowski, Marcin, et al. · arXiv (Cornell University)
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Minitron-SSM: Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
2025 · Taghibakhshi, Ali, Sreenivas, Sharath Turuvekere, et al. · arXiv (Cornell University)
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Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
2025 · NVIDIA, :, et al. · arXiv (Cornell University)
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Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
2025 · Ali Taghibakhshi, Sharath Turuvekere Sreenivas, et al. · neural information processing systems
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task
2021 · Adam Dobrowolski, Marcin Szymański, et al. · Workshop on Asian Translation (WAT)
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Samsung R&D Institute Poland submission to WMT20 News Translation Task
2020 · Mateusz Krubiński, Marcin Chochowski, et al. · Conference on Machine Translation (WMT)
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Works count: 25
Citation count: 59
H-index: 4
I10-index: 1
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