Multiple constant multiplication with ternary adders. - Martin Kumm; Martin Hardieck; Jens Willkomm; Peter Zipf; Uwe Meyer-Baese (FPL, 2013)

High-Level Synthesis for Model-Based Design with Automatic Folding including Combined Common Subcircuits. - Patrick Sittel; Martin Kumm; Konrad Möller; Martin Hardieck; Peter Zipf (MBMV, 2017)

Optimization of Constant Matrix Multiplication with Low Power and High Throughput. - Martin Kumm; Martin Hardieck; Peter Zipf (IEEE Trans. Computers, 2017)

Constant Matrix Multiplication with Ternary Adders. - Martin Hardieck; Martin Kumm; Patrick Sittel; Peter Zipf (ICECS, 2018)

Reconfigurable Convolutional Kernels for Neural Networks on FPGAs. - Martin Hardieck; Martin Kumm; Konrad Möller; Peter Zipf (FPGA, 2019)

Unrolling Ternary Neural Networks. - Stephen Tridgell; Martin Kumm; Martin Hardieck; David Boland; Duncan J. M. Moss; Peter Zipf; Philip H. W. Leong (ACM Trans. Reconfigurable Technol. Syst., 2019)

AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. - Julian Faraone; Martin Kumm; Martin Hardieck; Peter Zipf; Xueyuan Liu 002; David Boland; Philip H. W. Leong (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. - Diego Botache; Florian Bethke; Martin Hardieck; Maarten Bieshaar; Ludwig Brabetz; Mohamed Ayeb; Peter Zipf; Bernhard Sick (ACSOS, 2021)

More AddNet: A deeper insight into DNNs using FPGA-optimized multipliers. - Martin Hardieck; Tobias Habermann; Fabian Wagner; Michael Mecik; Martin Kumm; Peter Zipf (ISCAS, 2023)