Cecilia Latotzke

According to our database, Cecilia Latotzke authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Co-optimization of neural networks and hardware architectures for their efficient execution.

Cecilia Latotzke

PhD thesis, 2023

DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators.

Mikail Yayla, Cecilia Latotzke, Robert Huber, Somar Iskif, Tobias Gemmeke, Jian-Jia Chen

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

FPGA-based Acceleration of Lidar Point Cloud Processing and Detection on the Edge.

Cecilia Latotzke, Amarin Kloeker, Simon Schoening, Fabian Kemper, Mazen Slimi, Lutz Eckstein, Tobias Gemmeke

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks.

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA.

Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2021

Efficiency Versus Accuracy: A Review of Design Techniques for DNN Hardware Accelerators.

Cecilia Latotzke, Tobias Gemmeke

IEEE Access, 2021

Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs.

Cecilia Latotzke, Johnson Loh, Tobias Gemmeke

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks.

Tim Stadtmann, Cecilia Latotzke, Tobias Gemmeke

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020