Marius Stan

According to our database, Marius Stan authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

H2PIPE: High Throughput CNN Inference on FPGAs with High-Bandwidth Memory.

Mario Doumet, Marius Stan, Mathew Hall, Vaughn Betz

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

2022

HPIPE NX: Boosting CNN Inference Acceleration Performance with AI-Optimized FPGAs.

Marius Stan, Mathew Hall, Mohamed Ibrahim, Vaughn Betz

Proceedings of the International Conference on Field-Programmable Technology, 2022

2020

Flame Stability Analysis of Flame Spray Pyrolysis by Artificial Intelligence.

Jessica Pan, Joseph A. Libera, Noah H. Paulson, Marius Stan

CoRR, 2020

An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide.

Ganesh Sivaraman, Leighanne Gallington, Anand Narayanan Krishnamoorthy, Marius Stan, Gábor Csányi, Álvaro Vázquez-Mayagoitia, Chris J. Benmore

CoRR, 2020

Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis.

Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster

Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

2019

Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide.

Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gábor Csányi, Chris J. Benmore, Álvaro Vázquez-Mayagoitia

CoRR, 2019