New method improves deep learning model robustness and accuracy for long sequences.
arXiv research
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Paper resolves Chern conjecture for 4D minimal hypersurfaces in S5.
Anomalies in time-series data give essential and often actionable information in many applications. In this paper we consider a model-free anomaly detection method for univariate time-series which adapts to non-stationarity in the data stream and provides probabilistic abnormality scores based on the conformal predicti…
We introduce O-systems (Definition \ref{DO}) of orthogonal transformations of , and establish correspondences both between equivalence classes of Clifford systems and that of O-systems, and between O-systems and orthogonal multiplications of the form $μ:{\Bbb R}^{n} \times {\Bbb R}^{m} \longrightarr…
The paper provides a theoretical justification for using stable SSM blocks in deep sequential models.
Unified understanding of neural networks on group operations verified.
Transformers can be made to implement specific algorithms by controlling training parameters.