Andrei Bodnar — accepted AI-conference papers

2026

ANTiC: Adaptive Neural Temporal In Situ Compressor

Sandeep Suresh Cranganore, Andrei Bodnar, Gianluca Galletti, Fabian Paischer, Johannes Brandstetter

ICML 2026poster

The persistent storage requirements for high-resolution, spatiotemporally evolving fields governed by large-scale and high-dimensional partial differential equations (PDEs) have reached the petabyte-to-exabyte scale. Transient simulations modeling Navier-Stokes equations, magnetohydrodynamics, plasm…

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2026

Einstein Fields: A Neural Perspective To Computational General Relativity

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

ICLR 2026poster

We introduce *Einstein Fields*, a neural representation designed to compress computationally intensive *four-dimensional* numerical relativity simulations into compact implicit neural network weights. By modeling the *metric*, the core tensor field of general relativity, Einstein Fields enable the d…

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