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2020 – today
- 2023
[j1]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. 2023 (2023)- [c4]Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. ICCV (Workshops) 2023: 1274-1283 - [c3]Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel:
Softmax Bias Correction for Quantized Generative Models. ICCV (Workshops) 2023: 1445-1450 - [i7]Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. CoRR abs/2307.04535 (2023) - [i6]Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel:
Softmax Bias Correction for Quantized Generative Models. CoRR abs/2309.01729 (2023) - 2022
- [c2]Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort:
Overcoming Oscillations in Quantization-Aware Training. ICML 2022: 16318-16330 - [i5]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) - [i4]Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort:
Overcoming Oscillations in Quantization-Aware Training. CoRR abs/2203.11086 (2022) - [i3]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR abs/2206.10844 (2022) - 2021
- [c1]Marios Fournarakis, Markus Nagel:
In-Hindsight Quantization Range Estimation for Quantized Training. CVPR Workshops 2021: 3063-3070 - [i2]Marios Fournarakis, Markus Nagel:
In-Hindsight Quantization Range Estimation for Quantized Training. CoRR abs/2105.04246 (2021) - [i1]Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort:
A White Paper on Neural Network Quantization. CoRR abs/2106.08295 (2021)
Coauthor Index
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