Analog VLSI Model of Intersegmental Coordination with Nearest-Neighbor Coupling. - Girish N. Patel; Jeremy H. Holleman; Stephen P. DeWeerth (NIPS, 1997)

A compact pulse-based charge pump in 0.13 μm CMOS. - Jeremy Holleman; Brian P. Otis; Chris Diorio (CICC, 2007)

A 1.6pJ/bit 96% Stable Chip-ID Generating Circuit using Process Variations. - Ying Su; Jeremy Holleman; Brian P. Otis (ISSCC, 2007)

A micro-power neural spike detector and feature extractor in .13μm CMOS. - Jeremy Holleman; Apurva Mishra; Chris Diorio; Brian P. Otis (CICC, 2008)

A 3 µW CMOS True Random Number Generator With Adaptive Floating-Gate Offset Cancellation. - Jeremy Holleman; Seth Bridges; Brian P. Otis; Chris Diorio (IEEE J. Solid State Circuits, 2008)

A Digital 1.6 pJ/bit Chip Identification Circuit Using Process Variations. - Ying Su; Jeremy Holleman; Brian P. Otis (IEEE J. Solid State Circuits, 2008)

Design Techniques for Self-powered Microsystems. - Brian P. Otis; Robert G. Egbert; S. Haq; Jeremy Holleman; Julie R. Hu; Y. Liao; Jagdish Nayayan Pandey; Shailesh Rai; Fan Zhang 049 (ISCAS, 2009)

A 500µW neural tag with 2µVrms AFE and frequency-multiplying MICS/ISM FSK transmitter. - Shailesh Rai; Jeremy Holleman; Jagdish Nayayan Pandey; Fan Zhang 049; Brian P. Otis (ISSCC, 2009)

NeuralWISP: A Wirelessly Powered Neural Interface With 1-m Range. - Daniel J. Yeager; Jeremy Holleman; Richa Prasad; Joshua R. Smith 001; Brian P. Otis (IEEE Trans. Biomed. Circuits Syst., 2009)

A wideband ultra-low-current on-chip ammeter. - Junjie Lu; Jeremy Holleman (CICC, 2012)

A 3.3 µW dual-modulus frequency divider with 189% locking range for MICS band applications. - M. Shahriar Jahan; Jeremy H. Holleman (ISCAS, 2012)

A low-power dynamic comparator with time-domain bulk-driven offset cancellation. - Junjie Lu; Jeremy Holleman (ISCAS, 2012)

An ultra-low-power 902-928MHz RF receiver front-end in CMOS 90nm process. - Xiaojun Tu; Jeremy H. Holleman (ISCAS, 2012)

An ultra-low voltage self-startup charge pump for energy harvesting applications. - Chandradevi Ulaganathan; Benjamin J. Blalock; Jeremy Holleman; Charles L. Britton Jr. (MWSCAS, 2012)

Design of Ultra-Low Power Biopotential Amplifiers for Biosignal Acquisition Applications. - Fan Zhang 049; Jeremy Holleman; Brian P. Otis (IEEE Trans. Biomed. Circuits Syst., 2012)

A floating-gate analog memory with bidirectional sigmoid updates in a standard digital process. - Junjie Lu; Jeremy Holleman (ISCAS, 2013)

A high input impedance low-noise instrumentaion amplifier with JFET input. - Tan Yang; Junjie Lu; Jeremy Holleman (MWSCAS, 2013)

A Low-Power High-Precision Comparator With Time-Domain Bulk-Tuned Offset Cancellation. - Junjie Lu; Jeremy Holleman (IEEE Trans. Circuits Syst. I Regul. Pap., 2013)

30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS. - Junjie Lu; Steven R. Young; Itamar Arel; Jeremy Holleman (ISSCC, 2014)

A low-power 84-dB dynamic-range tunable Gm-C filter for bio-signal acquisition. - Junjie Lu; Tan Yang; M. Shahriar Jahan; Jeremy Holleman (MWSCAS, 2014)

A current-reuse complementary-input chopper-stabilized amplifier for neural recording. - Tan Yang; Junjie Lu; Nicholas Poore; Jeremy Holleman (NEWCAS, 2014)

On the Impact of Approximate Computation in an Analog DeSTIN Architecture. - Steven R. Young; Junjie Lu; Jeremy Holleman; Itamar Arel (IEEE Trans. Neural Networks Learn. Syst., 2014)

Analog inference circuits for deep learning. - Jeremy Holleman; Itamar Arel; Steven R. Young; Junjie Lu (BioCAS, 2015)

A configurable 5.9 μW analog front-end for biosignal acquisition. - Tan Yang; Junjie Lu; M. Shahriar Jahan; Kelly Griffin; Jeremy Langford; Jeremy Holleman (CICC, 2015)

A 167 μW 915 MHz gain-boosted LC VCO. - M. Shahriar Jahan; Tan Yang; Junjie Lu; Jeremy Holleman (ISCAS, 2015)

A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS. - Junjie Lu; Steven R. Young; Itamar Arel; Jeremy Holleman (IEEE J. Solid State Circuits, 2015)

An Ultralow-Power Low-Noise CMOS Biopotential Amplifier for Neural Recording. - Tan Yang; Jeremy Holleman (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Design considerations for neural amplifiers. - Jeremy Holleman (EMBC, 2016)

The impact of analog computational error on an analog boolean satisfiability solver. - David A. Basford; Jared M. Smith; R. Joseph Connor; Bruce J. MacLennan; Jeremy Holleman (ISCAS, 2016)

Deep modeling: Circuit characterization using theory based models in a data driven framework. - David S. Bolme; Aravind K. Mikkilineni; Derek C. Rose; Srikanth B. Yoginath; Mohsen Judy; Jeremy Holleman (ISCAS, 2017)

A fast convergent and energy efficient offset calibration technique for dynamic comparators. - Mohsen Judy; Jeremy Holleman (MWSCAS, 2017)

A Sub-1V-Read Flash Memory in a Standard 130nm CMOS Process. - David A. Basford; Mohsen Judy; Peixing Liu; Jeremy Holleman (ISCAS, 2018)

Implementation of Linear Discriminant Classifier in 130nm Silicon Process. - Md. Munir Hasan; Jeremy Holleman (ISCAS, 2018)

A Digitally Interfaced Analog Correlation Filter System for Object Tracking Applications. - Mohsen Judy; Nicholas Poore; Peixing Liu; Tan Yang; Charles L. Britton Jr.; David S. Bolme; Aravind K. Mikkilineni; Jeremy Holleman (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Low Power Compact Analog Spiking Neuron Circuit Using Exponential Positive Feedback With Adaptation and Bursting Capability. - Md. Munir Hasan; Jeremy Holleman (MWSCAS, 2020)

Leakage Current Compensation in Large Number of Inactive Synapses in a 130nm CMOS Process. - Md. Munir Hasan; Jeremy Holleman (MWSCAS, 2020)

Spiking Sparse Coding Algorithm with Reduced Inhibitory Feedback Weights. - Md. Munir Hasan; Jeremy Holleman (MWSCAS, 2020)

Benchmarking TinyML Systems: Challenges and Direction. - Colby R. Banbury; Vijay Janapa Reddi; Max Lam; William Fu; Amin Fazel; Jeremy Holleman; Xinyuan Huang; Robert Hurtado; David Kanter; Anton Lokhmotov; David A. Patterson 001; Danilo Pau; et al. (CoRR, 2020)

Hardware Model Based Simulation of Spiking Neuron Using Phase Plane. - Md. Munir Hasan; Jeremy Holleman (ISCAS, 2021)

MLPerf Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Nat Jeffries; Csaba Király 002; Jeremy Holleman; Pietro Montino; David Kanter; Pete Warden; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (NeurIPS Datasets and Benchmarks, 2021)

Training Neural Networks Using the Property of Negative Feedback to Inverse a Function. - Md. Munir Hasan; Jeremy Holleman (CoRR, 2021)

MLPerf Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Jeremy Holleman; Nat Jeffries; Csaba Király 002; Pietro Montino; David Kanter; Sebastian Ahmed; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (CoRR, 2021)

A 1mW Always-on Computer Vision Deep Learning Neural Decision Processor. - David Garrett; Youn Sung Park; Seongjong Kim; Jay Sharma; Wenbin Huang; Majid Shaghaghi; Vinay Parthasarathy; Stephen Gibellini; Stephen Bailey; Mallik Moturi; Pieter Vorenkamp; Kurt Busch; et al. (ISSCC, 2023)

Fast Simulation of Analog Spiking Neural Network With Device Non-Idealites. - Md. Munir Hasan; Jeremy Holleman (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI. - Arya Tschand; Arun Tejusve Raghunath Rajan; Sachin Idgunji; Anirban Ghosh; Jeremy Holleman; Csaba Király 002; Pawan Ambalkar; Ritika Borkar; Ramesh Chukka; Trevor Cockrell; Oliver Curtis; Grigori Fursin; et al. (CoRR, 2024)

MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI. - Arya Tschand; Arun Tejusve Raghunath Rajan; Sachin Idgunji; Anirban Ghosh; Jeremy Holleman; Csaba Király 002; Pawan Ambalkar; Ritika Borkar; Ramesh Chukka; Trevor Cockrell; Oliver Curtis; Grigori Fursin; et al. (HPCA, 2025)