Markus Nagel

Computer Science · Physical Sciences

18h-index1.1kcitations94works2.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Neural Network Applications(24), Domain Adaptation and Few-Shot Learning(14), Advanced Image and Video Retrieval Techniques(8), Topic Modeling(7), Medical and Health Sciences Research(7)

Publications94 total

HadaNorm: Diffusion Transformer Quantization through Mean-Centered Transformations
arXiv (Cornell University)·2025Open Access
FPTQuant: Function-Preserving Transforms for LLM Quantization
arXiv (Cornell University)·2025Open Access
Code Artifact for Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
arXiv (Cornell University)·2024Open Access
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference
arXiv (Cornell University)·2024· 1 citedOpen Access
Sparse High Rank Adapters
arXiv (Cornell University)·2024Open Access
Low-Rank Quantization-Aware Training for LLMs
arXiv (Cornell University)·2024· 2 citedOpen Access
GPTVQ: The Blessing of Dimensionality for LLM Quantization
arXiv (Cornell University)·2024· 2 citedOpen Access
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device
2024· 13 cited
Sparse High Rank Adapters
2024
The LLM Surgeon
arXiv (Cornell University)·2023Open Access
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device
arXiv (Cornell University)·2023Open Access
Softmax Bias Correction for Quantized Generative Models
2023· 10 cited
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training
2023· 6 cited
ResQ: Residual Quantization for Video Perception
2023· 4 cited
Softmax Bias Correction for Quantized Generative Models
arXiv (Cornell University)·2023· 1 citedOpen Access
ResQ: Residual Quantization for Video Perception
arXiv (Cornell University)·2023Open Access
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training
arXiv (Cornell University)·2023· 1 citedOpen Access
Pruning vs Quantization: Which is Better?
arXiv (Cornell University)·2023· 23 citedOpen Access
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
arXiv (Cornell University)·2023· 10 citedOpen Access
FP8 versus INT8 for efficient deep learning inference
arXiv (Cornell University)·2023· 24 citedOpen Access
page 1 of 5Next →

Frequent Co-authors

Tijmen Blankevoort(24), Mart van Baalen(16), Marios Fournarakis(8), Yelysei Bondarenko(7), Andrey N. Kuzmin(6), Rana Ali Amjad(5), Max Welling(5), M. Hoheisel(5), Christos Louizos(4), Ralf Petzold(4), Willi A. Kalender(4), K. Klingenbeck‐Regn(3), Eric Mahurin(3), Chirag J. Patel(3), Andrey Kuzmin(3), Jorn W. T. Peters(3), Yash Bhalgat(2), Jinwon Lee(2), Nojun Kwak(2), Ulrich H. W. Krause(2)