Lukas Frickenstein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks. | Shambhavi Balamuthu Sampath, Judeson Anthony Fernando, Moritz Thoma, Nael Fasfous, Lukas Frickenstein, Pierpaolo Mor, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Walter Stechele |
| 2025 | DAC | LA-MTL: Latency-Aware Automated Multi-Task Learning. | Shambhavi Balamuthu Sampath, Sami Sawani, Moritz Thoma, Lukas Frickenstein, Pierpaolo Mor, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Claudio Passerone, Walter Stechele |
| 2025 | DATE | HiFi-SAGE: High Fidelity GraphSAGE-Based Latency Estimators for DNN Optimization. | Shambhavi Balamuthu Sampath, Leon Hecht, Moritz Thoma, Lukas Frickenstein, Pierpaolo Mor, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone |
| 2024 | CVPR | Pruning as a Binarization Technique. | Lukas Frickenstein, Pierpaolo Mor, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele |
| 2024 | DATE | MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting. | Pierpaolo Mor, Moritz Thoma, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone |
| 2024 | WACV | Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. | Pierpaolo Mor, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone |
| 2023 | DAC | WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration. | Pierpaolo Mor, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone |
| 2022 | DAC | Accelerating and pruning CNNs for semantic segmentation on FPGA. | Pierpaolo Mor, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone |
| 2022 | DATE | Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. | Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele |
| 2021 | BMVC | Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. | Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele |
| 2021 | CVPR | Adversarial Robust Model Compression Using In-Train Pruning. | Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele |