Benjamin Parpillon

According to our database, Benjamin Parpillon authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery.

Devashri Naik, Nastaran Darabi, Sina Tayebati, Dinithi Jayasuriya, Shamma Nasrin, Danush Shekar, Corrinne Mills, Benjamin Parpillon, Farah Fahim, Mark S. Neubauer, Amit Ranjan Trivedi

Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products.

Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi

Proceedings of the 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems, 2025

2024

Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning.

Jieun Yoo, Jennet Dickinson, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, Manuel Blanco Valentin, Karri Dipetrillo, Farah Fahim, Lindsey Gray, James Hirschauer, Shruti R. Kulkarni, Ron Lipton, Petar Maksimovic, Corrinne Mills, Mark S. Neubauer, Benjamin Parpillon, Gauri Pradhan, Chinar Syal, Nhan Tran, Dahai Wen, Aaron Young

Mach. Learn. Sci. Technol., 2024

2023

Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider.

Benjamin Parpillon, Amit Ranjan Trivedi, Farah Fahim

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments.

Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning.

Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023