Stochastic Neuromorphic Circuits for Solving MAXCUT. - Bradley H. Theilman; Yipu Wang; Ojas Parekh; William Severa; J. Darby Smith; James B. Aimone (IPDPS, 2023)

Goemans-Williamson MAXCUT approximation algorithm on Loihi. - Bradley H. Theilman; James B. Aimone (NICE, 2023)

Decomposing spiking neural networks with Graphical Neural Activity Threads. - Bradley H. Theilman; Felix Wang; Fred Rothganger; James B. Aimone (CoRR, 2023)

Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT. - Ian Mulet; Bradley H. Theilman; Karan P. Patel; Jared Arzate; Andrew Maicke; J. Darby Smith; James B. Aimone; Suma Cardwell; Jean Anne C. Incorvia; Catherine D. Schuman (ICRC, 2024)

Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. - Shruti R. Kulkarni; Anika Tabassum; Seung-Hwan Lim; Catherine D. Schuman; Bradley H. Theilman; Fred Rothganger; Felix Wang; James B. Aimone (NICE, 2024)

Spiking Physics-Informed Neural Networks on Loihi 2. - Bradley H. Theilman; Qian Zhang; Adar Kahana; Eric C. Cyr; Nathaniel Trask; James B. Aimone; George Em Karniadakis (NICE, 2024)

Scaling neural simulations in STACS. - Felix Wang; Shruti R. Kulkarni; Bradley H. Theilman; Fredrick H. Rothganger; Catherine D. Schuman; Seung-Hwan Lim; James B. Aimone (Neuromorph. Comput. Eng., 2024)

Solving Sparse Finite Element Problems on Neuromorphic Hardware. - Bradley H. Theilman; James B. Aimone (CoRR, 2025)