A 0.9-V microcontroller for portable applications. - Andreas Wild; John Quigley; James Feddeler; Steven Ledford; James Caravella; Fred Shapiro; Ben Gilsdorf; Merit Hong; Dave Mietus; Robert B. Davies; Rajiv Parmar; Jy-Der Tai; et al. (IEEE J. Solid State Circuits, 1997)

Panel: First commandment at least, do nothing well! - Marco Casale-Rossi; Giovanni De Micheli; Antun Domic; Enrico Macii; Piero Perlo; Andreas Wild; Roberto Zafalon (DATE, 2010)

ECSEL JU Launches Research and Innovation Actions Strengthening European Competitiveness. - Andreas Wild (ERCIM News, 2015)

Mapping spiking neural networks onto a manycore neuromorphic architecture. - Chit-Kwan Lin; Andreas Wild; Gautham N. Chinya; Tsung-Han Lin; Mike Davies 002; Hong Wang (PLDI, 2018)

Programming Spiking Neural Networks on Intel's Loihi. - Chit-Kwan Lin; Andreas Wild; Gautham N. Chinya; Yongqiang Cao; Mike Davies 002; Daniel M. Lavery; Hong Wang (Computer, 2018)

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning. - Mike Davies 002; Narayan Srinivasa; Tsung-Han Lin; Gautham N. Chinya; Yongqiang Cao; Sri Harsha Choday; Georgios D. Dimou; Prasad Joshi; Nabil Imam; Shweta Jain 005; Yuyun Liao; Chit-Kwan Lin; et al. (IEEE Micro, 2018)

Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm. - Yijing Watkins; Austin Thresher; Peter F. Schultz; Andreas Wild; Andrew Sornborger; Garrett T. Kenyon (ICONS, 2019)

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. - Edward Paxon Frady; Garrick Orchard; David Florey; Nabil Imam; Ruokun Liu; Joyesh Mishra; Jonathan Tse; Andreas Wild; Friedrich T. Sommer; Mike Davies 002 (NICE, 2020)

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook. - Mike Davies 002; Andreas Wild; Garrick Orchard; Yulia Sandamirskaya; Gabriel A. Fonseca Guerra; Prasad Joshi; Philipp Plank; Sumedh R. Risbud (Proc. IEEE, 2021)

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi. - Bodo Rueckauer; Connor Bybee; Ralf Goettsche; Yashwardhan Singh; Joyesh Mishra; Andreas Wild (ACM J. Emerg. Technol. Comput. Syst., 2022)

A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware. - Arjun Rao; Philipp Plank; Andreas Wild; Wolfgang Maass 001 (Nat. Mach. Intell., 2022)

Neuromorphic quadratic programming for efficient and scalable model predictive control. - Ashish Rao Mangalore; Gabriel Andrés Fonseca Guerra; Sumedh R. Risbud; Philipp Stratmann; Andreas Wild (CoRR, 2024)

Solving QUBO on the Loihi 2 Neuromorphic Processor. - Alessandro Pierro; Philipp Stratmann; Gabriel Andrés Fonseca Guerra; Sumedh R. Risbud; Timothy Shea; Ashish Rao Mangalore; Andreas Wild (CoRR, 2024)

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity. - Alessandro Pierro; Steven Abreu; Jonathan Timcheck; Philipp Stratmann; Andreas Wild; Sumit Bam Shrestha (CoRR, 2025)

Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control. - Ashish Rao Mangalore; Gabriel Andrés Fonseca Guerra; Sumedh R. Risbud; Philipp Stratmann; Andreas Wild (IEEE Robotics Autom. Mag., 2025)