Bradley H. Theilman

According to our database, Bradley H. Theilman authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the Neuro Inspired Computational Elements Conference, 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

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023

Decomposing spiking neural networks with Graphical Neural Activity Threads.

Bradley H. Theilman, Felix Wang, Fred Rothganger, James B. Aimone

CoRR, 2023

Goemans-Williamson MAXCUT approximation algorithm on Loihi.

Bradley H. Theilman, James B. Aimone

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Stochastic Neuromorphic Circuits for Solving MAXCUT.

Bradley H. Theilman, Yipu Wang, Ojas Parekh, William Severa, J. Darby Smith, James B. Aimone

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023