Joseph Bakarji

According to our database, Joseph Bakarji authored at least 11 papers between 2017 and 2026.

Collaborative distances:

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

2026

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models.

Stefano Riva, Carolina Introini, Antonio Cammi, Dean Price, Alexey Yermakov, Yue Zhao, Philippe Martin Wyder, Judah Goldfeder, Jan P. Williams, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles D. Cranmer, J. Nathan Kutz

CoRR, May, 2026

2025

Semantic Tree Inference on Text Corpa using a Nested Density Approach together with Large Language Model Embeddings.

Thomas Haschka, Joseph Bakarji

CoRR, December, 2025

The Seismic Wavefield Common Task Framework.

Alexey Yermakov, Yue Zhao, Marine Denolle, Yiyu Ni, Philippe Martin Wyder, Judah Goldfeder, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles D. Cranmer, J. Nathan Kutz

CoRR, December, 2025

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms.

Philippe Martin Wyder, Judah Goldfeder, Alexey Yermakov, Yue Zhao, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles D. Cranmer, J. Nathan Kutz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Distilling data into code.

Joseph Bakarji

Nat. Comput. Sci., 2024

Statistical Mechanics of Dynamical System Identification.

Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar

CoRR, 2024

2022

Dimensionally consistent learning with Buckingham Pi.

Joseph Bakarji, Jared Callaham, Steven L. Brunton, J. Nathan Kutz

Nat. Comput. Sci., 2022

Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders.

Joseph Bakarji, Kathleen P. Champion, J. Nathan Kutz, Steven L. Brunton

CoRR, 2022

2021

Data-driven discovery of coarse-grained equations.

Joseph Bakarji, Daniel M. Tartakovsky

J. Comput. Phys., 2021

2020

Machine Learning for a Music Glove Instrument.

Joseph Bakarji

CoRR, 2020

2017

On the use of reverse Brownian motion to accelerate hybrid simulations.

Joseph Bakarji, Daniel M. Tartakovsky

J. Comput. Phys., 2017