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1. TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era

2. Universal Anomaly Detection at the LHC: Transforming Optimal Classifiers and the DDD Method

3. Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering

4. Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research

5. New energy spectra in neutrino and photon detectors to reveal hidden dark matter signals

6. Towards a Benchmark for Scientific Understanding in Humans and Machines

7. Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research

8. Mind the gap: The discrepancy between simulation and reality drives interpretations of the Galactic Center Excess

9. Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments

10. Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics

11. Mixture-of-theories Training: Can We Find New Physics and Anomalies Better by Mixing Physical Theories?

12. Non-Standard Neutrino Spectra From Annihilating Neutralino Dark Matter

14. Machine Learning and LHC Event Generation

15. AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian

16. Rare and Different: Anomaly Scores from a combination of likelihood and out-of-distribution models to detect new physics at the LHC

17. Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge

18. A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications

19. Particle spectra from dark matter annihilation: physics modeling and QCD uncertainties

20. Interactive web-based visualization of multi-dimensional physical and astronomical data

21. Combining outlier analysis algorithms to identify new physics at the LHC

22. Deep-learning enhancement of large scale numerical simulations

23. The current status of fine-tuning in supersymmetry

24. Constraining the Parameters of High-Dimensional Models with Active Learning

25. Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer

26. Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

28. DeepXS: Fast approximation of MSSM electroweak cross sections at NLO

29. SPOT: Open Source framework for scientific data repository and interactive visualization

30. Implications of the Fermi-LAT Pass 8 Galactic Center Excess on Supersymmetric Dark Matter

31. Analyzing {\gamma}-rays of the Galactic Center with Deep Learning

32. Supersymmetry with Dark Matter is still natural

33. The BSM-AI project: SUSY-AI - Generalizing LHC limits on Supersymmetry with Machine Learning

34. The case for 100 GeV bino dark matter: A dedicated LHC tri-lepton search

35. Global analysis of the pMSSM in light of the Fermi GeV excess: prospects for the LHC Run-II and astroparticle experiments

36. Comparing Galactic Center MSSM dark matter solutions to the Reticulum II gamma-ray data

37. A description of the Galactic Center excess in the Minimal Supersymmetric Standard Model

38. Higgs, di-Higgs and tri-Higgs production via SUSY processes at the LHC with 14 TeV

41. Constraints on the pMSSM from searches for squarks and gluinos by ATLAS

42. Higgs and non-universal gaugino masses: no SUSY signal expected yet?

43. SUSY searches at ATLAS

45. Prospects for standard SUSY searches at the LHC

46. Quaero@H1: An Interface to High-pT HERA Event Data

47. Searches and electroweak measurements at HERA

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