Joseph Bakarji

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms.
CoRR
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
2025 J jnl
Semantic Tree Inference on Text Corpa using a Nested Density Approach together with Large Language Model Embeddings.
CoRR
Thomas Haschka, Joseph Bakarji
2025 J jnl
The Seismic Wavefield Common Task Framework.
CoRR
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
2024 J jnl
Distilling data into code.
Nat. Comput. Sci.
Joseph Bakarji
2024 J jnl
Statistical Mechanics of Dynamical System Identification.
CoRR
Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar
2022 J jnl
Dimensionally Consistent Learning with Buckingham Pi.
CoRR
Joseph Bakarji, Jared Callaham, Steven L. Brunton, J. Nathan Kutz
2022 J jnl
Dimensionally consistent learning with Buckingham Pi.
Nat. Comput. Sci.
Joseph Bakarji, Jared Callaham, Steven L. Brunton, J. Nathan Kutz
2022 J jnl
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders.
CoRR
Joseph Bakarji, Kathleen P. Champion, J. Nathan Kutz, Steven L. Brunton
2021 J jnl
Data-driven discovery of coarse-grained equations.
J. Comput. Phys.
Joseph Bakarji, Daniel M. Tartakovsky
2020 J jnl
Data-Driven Discovery of Coarse-Grained Equations.
CoRR
Joseph Bakarji, Daniel M. Tartakovsky
2020 J jnl
Machine Learning for a Music Glove Instrument.
CoRR
Joseph Bakarji
2017 J jnl
On the use of reverse Brownian motion to accelerate hybrid simulations.
J. Comput. Phys.
Joseph Bakarji, Daniel M. Tartakovsky