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)

NC-Emotions: Neuromorphic hardware accelerator design for facial emotion recognition. - B. S. Ajay; Sumedh R. Risbud; Madhav Rao (ICECS 2022, 2022)

A review of non-cognitive applications for neuromorphic computing. - James B. Aimone; Prasanna Date; Gabriel A. Fonseca Guerra; Kathleen E. Hamilton; Kyle Henke; Bill Kay; Garrett T. Kenyon; Shruti R. Kulkarni; Susan M. Mniszewski; Maryam Parsa; Sumedh R. Risbud; Catherine D. Schuman; et al. (Neuromorph. Comput. Eng., 2022)

Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. - Gavin Parpart; Sumedh R. Risbud; Garrett T. Kenyon; Yijing Watkins (ICONS, 2023)

Neuromorphic Bayesian Optimization in Lava. - Shay Snyder; Sumedh R. Risbud; Maryam Parsa (ICONS, 2023)

Transductive Spiking Graph Neural Networks for Loihi. - Shay Snyder; Victoria Clerico; Guojing Cong; Shruti R. Kulkarni; Catherine D. Schuman; Sumedh R. Risbud; Maryam Parsa (ACM Great Lakes Symposium on VLSI, 2024)

Asynchronous Neuromorphic Optimization in Lava. - Shay Snyder; Sumedh R. Risbud; Maryam Parsa (ACM Great Lakes Symposium on VLSI, 2024)

Learning to Estimate Regions of Attraction of Autonomous Dynamical Systems Using Bayesian Physics Informed Neural Networks. - Cody Scharzenberger; Shay Snyder; Sumedh R. Risbud; Joe Hays; Maryam Parsa (ICONS, 2024)

Parallelized Multi-Agent Bayesian Optimization in Lava. - Shay Snyder; Derek Gobin; Victoria Clerico; Sumedh R. Risbud; Maryam Parsa (ICONS, 2024)

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)

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)