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18th International Workshop on Boosted Object Phenomenology, Reconstruction, Measurements, and Searches at Colliders

13–17 Jul 2026
Europe/Zurich timezone

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Session

Anomaly detection and model-agnostic searches

16 Jul 2026, 15:50

Presentation materials

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  1. 44. Recent Results from Anomaly Detection Searches on CMS
    Petar Maksimovic (Johns Hopkins University (US))
    16/07/2026, 15:50
    Talk

    In the absence of direct evidence for new physics in targeted searches, model-independent strategies are becoming increasingly important. In this talk, we present recent results of model-agnostic searches that are facilitated by advanced machine learning techniques, opening a new avenue for unbiased detection of potential new physics signals.

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  2. 69. Searches for new physics with the ATLAS detector
    Antti Pirttikoski (Universite de Geneve (CH))
    16/07/2026, 16:10
    Talk

    Many theories beyond the Standard Model (SM) have been proposed to address several of the SM shortcomings. Some of these beyond-the-SM extensions predict new particles or interactions directly accessible at the LHC. These signatures range from relatively standard, to those needing special reconstruction algorithms or techniques. This talk will cover several such recent searches at ATLAS.

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  3. 32. Autoencoder-based ABCD matrix method for anomaly detection
    Rafal Maselek
    16/07/2026, 16:30
    Talk

    Anomaly detection has emerged as a promising paradigm for BSM searches at the LHC, leveraging modern machine learning techniques to identify subtle deviations directly in data. In particular, out-of-distribution (OOD) approaches target signals that populate the tails of an anomaly score, offering sensitivity to a wide range of unforeseen signatures. A central challenge in such searches is the...

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  4. 29. Anomaly detection for multi-jet resonances
    Chitrakshee Yede (Hamburg University (DE))
    16/07/2026, 16:50
    Talk

    The search for physics beyond the standard model is one of the main focuses in high-energy physics. Conventional searches at the LHC, though comprehensive, have not yet shown signs for new physics. Machine learning based anomaly detection has emerged offering a model-agnostic way to enhance the sensitivity of generic searches as compared to those targeting specific signal model. CATHODE...

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  5. 76. Searches for new particles decaying into a quark-antiquark pair at √s=13 TeV
    Adam Albert Kobert (Rutgers State Univ. of New Jersey (US))
    16/07/2026, 17:10
    Talk
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