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Olga Fink

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Rethinking Object-Centric Representations for Video Dynamics Modeling

Unified Slots (Unified Slots), an unsupervised framework for learning robust and disentangled object-centric representations from videos, is introduced, achieving state-of-the-art performance in unsupervised object-centric video decomposition and tracking.

Amaury Wei, Ismail Nejjar, Olga Fink · 1 citation
#machine learning Preprint Sep 2026

GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection

Unsupervised multivariate time series anomaly detection methods typically identify anomalies through forecasting, reconstruction, or representation discrepancies. However, industrial faults may first alter inter-variable structural patterns while individual trajectories remain close to normal, resulting in weak anomaly...

Ze-Peng Zhang, F. Khūrī, Keivan Faghih Niresi et al. · 1 citation
Jul 2026

Agentic Root Cause Analysis through Evidence-Grounded Reasoning

AgentRCA is introduced, a zero-shot agentic framework for evidence-grounded root cause analysis that produces transparent reasoning traces that explicitly link observed symptoms to their underlying physical causes and establishes autonomous hypothesis-driven reasoning as a practical foundation for scalable industrial r...

Amaury Wei, Olga Fink · 0 citations
Preprint Jul 2026

Neural Kolmogorov Equations: Parallelizable Learning of Stochastic Dynamics under General Noise

This work proposes Neural Kolmogorov Equations (NKEs), a deterministic, infinite-dimensional reformulation of Neural SDEs based on the Kolmogorov Forward equation, transforming the learning problem from modelling individual stochastic trajectories to modelling the evolution of probability densities.

Arthur Bizzi, Olga Fink · 0 citations

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