Moritz Thoma

Orcid: 0009-0006-5085-5789

According to our database1, Moritz Thoma authored at least 12 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS.
Proceedings of the 38th IEEE International System-on-Chip Conference, 2025

HotShot: A Loss-Guided Data Augmentation and Curriculum Learning Technique for the Task of Semantic Segmentation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

HiFi-SAGE: High Fidelity GraphSAGE-Based Latency Estimators for DNN Optimization.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

SuperFast: Fast Supernet Training Using Initial Knowledge.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

LA-MTL: Latency-Aware Automated Multi-Task Learning.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Pruning as a Binarization Technique.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Machine learning in run-time control of multicore processor systems.
it Inf. Technol., August, 2023


  Loading...