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Publication search results
found 90 matches
- 2024
- Ties van Rozendaal, Tushar Singhal, Hoang Le, Guillaume Sautière, Amir Said, Krishna Buska, Anjuman Raha, Dimitris Kalatzis, Hitarth Mehta, Frank Mayer, Liang Zhang, Markus Nagel, Auke Wiggers:
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. WACV 2024: 4311-4321 - Mart van Baalen, Andrey Kuzmin, Markus Nagel, Peter Couperus, Cédric Bastoul, Eric Mahurin, Tijmen Blankevoort, Paul N. Whatmough:
GPTVQ: The Blessing of Dimensionality for LLM Quantization. CoRR abs/2402.15319 (2024) - Jaeseong You, Minseop Park, Kyunggeun Lee, Seokjun An, Chirag Patel, Markus Nagel:
How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training. CoRR abs/2404.16898 (2024) - 2023
- Raphael Nägele
, Jakob Finkbeiner
, Valentin Stadtlander
, Markus Grözing
, Manfred Berroth
:
Analog Multiply-Accumulate Cell With Multi-Bit Resolution for All-Analog AI Inference Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 70(9): 3509-3521 (2023) - Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort:
A Practical Mixed Precision Algorithm for Post-Training Quantization. BMVC Workshop 2023 - Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian:
ResQ: Residual Quantization for Video Perception. ICCV 2023: 17073-17083 - Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel:
Softmax Bias Correction for Quantized Generative Models. ICCV (Workshops) 2023: 1445-1450 - Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. ICCV (Workshops) 2023: 1274-1283 - Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort:
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. NeurIPS 2023 - Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort:
Pruning vs Quantization: Which is Better? NeurIPS 2023 - Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort:
A Practical Mixed Precision Algorithm for Post-Training Quantization. CoRR abs/2302.05397 (2023) - Mart van Baalen, Andrey Kuzmin, Suparna S. Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian, Sanghyuk Lee, Markus Nagel, Joseph Soriaga, Tijmen Blankevoort:
FP8 versus INT8 for efficient deep learning inference. CoRR abs/2303.17951 (2023) - Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort:
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. CoRR abs/2306.12929 (2023) - Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort:
Pruning vs Quantization: Which is Better? CoRR abs/2307.02973 (2023) - Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. CoRR abs/2307.04535 (2023) - Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian:
ResQ: Residual Quantization for Video Perception. CoRR abs/2308.09511 (2023) - Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel:
Softmax Bias Correction for Quantized Generative Models. CoRR abs/2309.01729 (2023) - Ties van Rozendaal, Tushar Singhal, Hoang Le, Guillaume Sautière, Amir Said, Krishna Buska, Anjuman Raha, Dimitris Kalatzis, Hitarth Mehta, Frank Mayer, Liang Zhang, Markus Nagel, Auke Wiggers:
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. CoRR abs/2310.01258 (2023) - Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort:
The LLM Surgeon. CoRR abs/2312.17244 (2023) - 2022
- Barlo Hillen
, Daniel Andrés López
, Elmar Schömer
, Markus Nägele
, Perikles Simon
:
Towards Exercise Radiomics: Deep Neural Network-Based Automatic Analysis of Thermal Images Captured During Exercise. IEEE J. Biomed. Health Informatics 26(9): 4530-4540 (2022) - Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort:
Simulated Quantization, Real Power Savings. CVPR Workshops 2022: 2756-2760 - Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. CVPR Workshops 2022: 2761-2770 - Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang:
Quadapter: Adapter for GPT-2 Quantization. EMNLP (Findings) 2022: 2510-2517 - Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort:
Overcoming Oscillations in Quantization-Aware Training. ICML 2022: 16318-16330 - Daniel Widmann, Raphael Nägele, Markus Grözing, Manfred Berroth:
Mixed-Signal Integrated Circuit for Direct Raised-Cosine Filter Waveform Synthesis of Digital Signals up to 24 GS/s in 22 nm FD-SOI CMOS Technology. ISCAS 2022: 3234-3238 - Jakob Finkbeiner
, Raphael Nägele, Markus Grözing, Manfred Berroth:
Design of an Energy Efficient Voltage-to-Time Converter with Rectified Linear Unit Characteristics for Artificial Neural Networks. NEWCAS 2022: 327-331 - Raphael Nägele
, Jakob Finkbeiner
, Markus Grözing, Manfred Berroth:
Design of an Energy Efficient Analog Two-Quadrant Multiplier Cell Operating in Weak Inversion. NEWCAS 2022: 5-9 - Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort:
FP8 Quantization: The Power of the Exponent. NeurIPS 2022 - Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Chirag Patel, Abhijit Khobare:
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET). CoRR abs/2201.08442 (2022) - Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. CoRR abs/2202.01290 (2022)
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