All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency. - Jie Lou; Christian Lanius; Florian Freye; Tim Stadtmann; Tobias Gemmeke (ESSCIRC, 2022)

Discrete Steps towards Approximate Computing. - Michael Gansen; Jie Lou; Florian Freye; Tobias Gemmeke; Farhad Merchant; Albert Zeyer; Mohammad Zeineldeen; Ralf Schlüter; Xin Fan 002 (ISQED, 2022)

Scalable Time-Domain Compute-in-Memory BNN Engine with 2.06 POPS/W Energy Efficiency for Edge-AI Devices. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (ACM Great Lakes Symposium on VLSI, 2023)

Hardware Trojans in fdSOI. - Christian Lanius; Florian Freye; Shutao Zhang; Tobias Gemmeke (ISLPED, 2023)

An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access. - Yi Chen; Jie Lou; Christian Lanius; Florian Freye; Johnson Loh; Tobias Gemmeke (VLSI-SoC, 2023)

A Unified and Energy-Efficient Depthwise Separable Convolution Accelerator. - Yi Chen; Jie Lou; Christian Lanius; Florian Freye; Johnson Loh; Tobias Gemmeke (VLSI-SoC (Selected Papers), 2023)

Merits of Time-Domain Computing for VMM - A Quantitative Comparison. - Florian Freye; Jie Lou; Christian Lanius; Tobias Gemmeke (ISQED, 2024)

An Energy Efficient All-Digital Time-Domain Compute-in-Memory Macro Optimized for Binary Neural Networks. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

A 1.27 fJ/B/transition Digital Compute-in-Memory Architecture for Non-Deterministic Finite Automata Evaluation. - Christian Lanius; Florian Freye; Tobias Gemmeke (ACM Great Lakes Symposium on VLSI, 2025)

A 22nm 96.83-TOPS/W Time-Domain Compute-in-Memory Engine Utilizing Mixed-Fidelity for Edge-AI Applications. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (ACM Great Lakes Symposium on VLSI, 2025)

An All-Digital Time-Domain Compute-in-Memory Engine for Convolutional Neural Networks in 22nm. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (ISCAS, 2025)