Arturs Berzins

According to our database, Arturs Berzins authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

From Circuits to Dynamics: Understanding and Stabilizing Failure in 3D Diffusion Transformers.

Maximilian Plattner, Fabian Paischer, Johannes Brandstetter, Arturs Berzins

CoRR, February, 2026

Gauss-Newton Natural Gradient Descent for Shape Learning.

James King, Arturs Berzins, Siddhartha Mishra, Marius Zeinhofer

CoRR, February, 2026

2025

Neural surrogates for designing gravitational wave detectors.

Carlos Ruiz-Gonzalez, Sören Arlt, Sebastian Lehner, Arturs Berzins, Yehonathan Drori, Rana X. Adhikari, Johannes Brandstetter, Mario Krenn

CoRR, November, 2025

Einstein Fields: A Neural Perspective To Computational General Relativity.

Sandeep Suresh Cranganore, Andrei Bodnar, Arturs Berzins, Johannes Brandstetter

CoRR, July, 2025

Shape Generation via Weight Space Learning.

Maximilian Plattner, Arturs Berzins, Johannes Brandstetter

CoRR, March, 2025

Generative Topology Optimization: Exploring Diverse Solutions in Structural Design.

Andreas Radler, Eric Volkmann, Johannes Brandstetter, Arturs Berzins

CoRR, February, 2025

Geometry-Informed Neural Networks.

Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Neural Representations in Geometry.

Arturs Berzins

PhD thesis, 2024

Geometry-Informed Neural Networks.

Arturs Berzins, Andreas Radler, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter

CoRR, 2024

2023

Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision.

Arturs Berzins

Proceedings of the International Conference on Machine Learning, 2023

Neural Implicit Shape Editing using Boundary Sensitivity.

Arturs Berzins, Moritz Ibing, Leif Kobbelt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems.

Arturs Berzins, Jan Helmig, Fabian Key, Stefanie Elgeti

CoRR, 2020