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Jakob Finkbeiner
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 6
Top Topics
Inference Mechanism
Neural Network
Data Conversion
Sampling Rate
Top Venues
NEWCAS
AICAS
IEEE Trans. Circuits Syst. I Regul. Pap.
IEEE J. Solid State Circuits
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Publications
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Jakob Finkbeiner
,
Raphael Nägele
,
Markus Grözing
,
Manfred Berroth
,
Georg Rademacher
Characterization of a Femtojoule Voltage-to-Time Converter with Rectified Linear Unit Characteristic for Analog Neural Network Inference Accelerators.
AICAS
(2024)
Raphael Nägele
,
Jakob Finkbeiner
,
Markus Grözing
,
Manfred Berroth
,
Georg Rademacher
Characterization of an Analog MAC Cell with Multi-Bit Resolution for AI Inference Accelerators.
AICAS
(2024)
Raphael Nägele
,
Jakob Finkbeiner
,
Valentin Stadtlander
,
Markus Grözing
,
Manfred Berroth
Analog Multiply-Accumulate Cell With Multi-Bit Resolution for All-Analog AI Inference Accelerators.
IEEE Trans. Circuits Syst. I Regul. Pap.
70 (9) (2023)
Philipp Thomas
,
Jakob Finkbeiner
,
Markus Grözing
,
Manfred Berroth
Time-Interleaved Switched Emitter Followers to Extend Front-End Sampling Rates to up to 200 GS/s.
IEEE J. Solid State Circuits
57 (9) (2022)
Jakob Finkbeiner
,
Raphael Nägele
,
Markus Grözing
,
Manfred Berroth
Design of an Energy Efficient Voltage-to-Time Converter with Rectified Linear Unit Characteristics for Artificial Neural Networks.
NEWCAS
(2022)
Raphael Nägele
,
Jakob Finkbeiner
,
Markus Grözing
,
Manfred Berroth
Design of an Energy Efficient Analog Two-Quadrant Multiplier Cell Operating in Weak Inversion.
NEWCAS
(2022)