Author

Mathis Bode

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#artificial intelligence Preprint Sep 2026

4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

An orthogonal 4D-parallelization scheme is devised that introduces a unique domain-tensor-parallelism strategy and a novel uncertainty parallel method, enabling the potential of high-fidelity uncertainty quantification in atmospheric AI models, heralding a new era for AI-based models in climate and Earth system science...

Deifilia Kieckhefen, J. P. G. H. Muriedas, L. Heyen et al. · 0 citations

Preprint Aug 2026

LongVU-TTT: Causal Test-Time Training for Visual Resampling in Long Video Understanding

LongVU-TTT is introduced, which inserts a convolutional Test-Time Training (TTT) resampler with causal fast-weight updates between the vision encoder and the LLM, and is stronger than attention- and fixed-state recurrent resamplers across three benchmarks.

Mahmoud Ahmed, Sameh Abdulah, Olatunji Ruwase et al. · 0 citations