Cecilia Latotzke

Orcid: 0000-0001-6536-820X

According to our database1, Cecilia Latotzke authored at least 8 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Co-optimization of neural networks and hardware architectures for their efficient execution.
PhD thesis, 2023

DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

FPGA-based Acceleration of Lidar Point Cloud Processing and Detection on the Edge.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA.
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.
IEEE Access, 2021

Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020
From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020


  Loading...