Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders

Published in Philosophical Transactions of the Royal Society A, 2026

A transformer-based shallow recurrent decoder architecture that incorporates symbolic regression for regularization and model discovery.

Recommended citation: Yermakov, A., Zoro, D., Gao, L. M., & Kutz, J. N. (2026). "T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders." Philosophical Transactions of the Royal Society A, 384(2317), 20240586.

Preprints

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models

Published in arXiv:2605.15549, 2026

A common task framework for benchmarking machine learning models on nuclear fission and fusion problems.

Recommended citation: Riva, Introini, Cammi, Price, Yermakov, A., et al. (2026). "CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models." arXiv:2605.15549.

Conference Papers

Learning the Koopman Operator using Attention Free Transformers

Published in IFAC World Congress, 2026

Learning the Koopman operator using attention free transformers.

Recommended citation: Nagdi, F., Nikolados, K., Yermakov, A., Gao, C., Kutz, J. N., & Menolascina, F. (2026). "Learning the Koopman Operator using Attention Free Transformers." IFAC World Congress.

The Seismic Wavefield Common Task Framework

Published in ICLR, 2026

A common task framework for benchmarking machine learning models on seismic wavefield data.

Recommended citation: Yermakov, A., Zhao, Z., Denolle, M., et al. (2026). "The Seismic Wavefield Common Task Framework." ICLR.

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

Published in NeurIPS, 2025

A common task framework for critically evaluating scientific machine learning algorithms.

Recommended citation: Wyder, S., Goldfeder, J., Yermakov, A., et al. (2025). "Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms." NeurIPS.

A Transformer-Based Deep Learning Approach to Anomaly Detection of High-Bandwidth Multivariate Time-Series Satellite Communications

Published in International Conference on Space Operations (SpaceOps), 2025

A transformer-based deep learning approach to anomaly detection in high-bandwidth multivariate time-series satellite communications data.

Recommended citation: Yermakov, A., Yun, D., Ratliff, N., & Kutz, J. N. (2025). "A Transformer-Based Deep Learning Approach to Anomaly Detection of High-Bandwidth Multivariate Time-Series Satellite Communications." International Conference on Space Operations.

Workshop Papers

Latent Nonlinear Wave Dynamics in Image Datasets and Autoencoder Reconstructions

Published in ML and the Physical Sciences Workshop, NeurIPS, 2025

An exploration of latent nonlinear wave dynamics in image datasets and their autoencoder reconstructions.

Recommended citation: Yermakov, A., Ratliff, N., & Kutz, J. N. (2025). "Latent Nonlinear Wave Dynamics in Image Datasets and Autoencoder Reconstructions." ML and the Physical Sciences Workshop, NeurIPS.