Jakob Finkbeiner

According to our database, Jakob Finkbeiner authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Characterization of an Analog MAC Cell with Multi-Bit Resolution for AI Inference Accelerators.

Raphael Nägele, Jakob Finkbeiner, Markus Grözing, Manfred Berroth, Georg Rademacher

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

Characterization of a Femtojoule Voltage-to-Time Converter with Rectified Linear Unit Characteristic for Analog Neural Network Inference Accelerators.

Jakob Finkbeiner, Raphael Nägele, Markus Grözing, Manfred Berroth, Georg Rademacher

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Analog Multiply-Accumulate Cell With Multi-Bit Resolution for All-Analog AI Inference Accelerators.

Raphael Nägele, Jakob Finkbeiner, Valentin Stadtlander, Markus Grözing, Manfred Berroth

IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023

2022

Time-Interleaved Switched Emitter Followers to Extend Front-End Sampling Rates to up to 200 GS/s.

Philipp Thomas, Jakob Finkbeiner, Markus Grözing, Manfred Berroth

IEEE J. Solid State Circuits, 2022

Design of an Energy Efficient Analog Two-Quadrant Multiplier Cell Operating in Weak Inversion.

Raphael Nägele, Jakob Finkbeiner, Markus Grözing, Manfred Berroth

Proceedings of the 20th IEEE Interregional NEWCAS Conference, 2022

Design of an Energy Efficient Voltage-to-Time Converter with Rectified Linear Unit Characteristics for Artificial Neural Networks.

Jakob Finkbeiner, Raphael Nägele, Markus Grözing, Manfred Berroth

Proceedings of the 20th IEEE Interregional NEWCAS Conference, 2022