Cecilia Latotzke

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Individual Classifiers

Pareto Optimality

Multi Issue Negotiation

Top Venues

Publications

Mikail Yayla, Cecilia Latotzke, Robert Huber, Somar Iskif, Tobias Gemmeke, Jian-Jia Chen
DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators. SAMOS (2023)
Cecilia Latotzke, Amarin Kloeker, Simon Schoening, Fabian Kemper, Mazen Slimi, Lutz Eckstein, Tobias Gemmeke
FPGA-based Acceleration of Lidar Point Cloud Processing and Detection on the Edge. IV (2023)
Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks. ICMLA (2022)
Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA. CoRR (2022)
Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA. FPL (2022)
Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks. CoRR (2022)
Cecilia Latotzke, Johnson Loh, Tobias Gemmeke
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs. LOD (2021)
Cecilia Latotzke, Tobias Gemmeke
Efficiency Versus Accuracy: A Review of Design Techniques for DNN Hardware Accelerators. IEEE Access 9 (2021)
Cecilia Latotzke, Johnson Loh, Tobias Gemmeke
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using off-the-Shelf ANNs. CoRR (2021)
Tim Stadtmann, Cecilia Latotzke, Tobias Gemmeke
From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks. ICMLA (2020)