Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2025

Session

AI/ML for Data Analysis and Theory

28 Oct 2025, 14:30

55. Relativity Wasn’t in the Training Set

Miles Cranmer (University of Cambridge)

28/10/2025, 14:30

56. Symbolic Regression

Douglas Adams (University of Virginia)

28/10/2025, 14:50

57. Neural Net ensembles for Bayesian inference of PDFs

Maria Ubiali (University of Cambridge)

28/10/2025, 15:10

58. Artificial Intelligence in the EIC era at the BSM-PDF frontier

Tim Hobbs (Argonne National Laboratory)

28/10/2025, 15:45

59. ML-accelerated sampling for theory

Phiala Shanahan (MIT)

28/10/2025, 16:05

60. Generative AI for data analysis and preservation

Marco Battaglieri (Jefferson Lab)

28/10/2025, 16:25

62. What we talk about when we talk about gluon saturation

Peter Jacobs (Lawrence Berkeley National Laboratory)

28/10/2025, 16:45

61. DeepSub: Deep Image Reconstruction for Background Subtraction in Heavy-Ion Collisions

Umar Sohail Qureshi (Stanford University)

28/10/2025, 17:20

64. Deep Neural Networks for Extracting the 3D Structure of Nucleon at the EIC

Dr Ishara Fernando (University of Virginia)

28/10/2025, 17:30

65. Extraction of Chiral Odd Compton form factors using Maximum Likelihood Method from Exclusive 𝛑0 production experiment.

Dr Saraswati Pandey (member@virginia.edu;staff@virginia.edu;employee@virginia.edu)

28/10/2025, 17:40

67. Neural Network Generalized Parton Distributions

Zaki Panjsheeri (member@virginia.edu;student@virginia.edu;alum@virginia.edu;employee@virginia.edu;staff@virginia.edu)

28/10/2025, 17:50

68. A Generative AI Approach to Unbiased TMD Extraction

Marco Zaccheddu (Università degli studi di Cagliari & INFN)

63. Quantum Tomography for Collider Physics: From Data-Driven Foundations to AI-Enhanced Methods

Daniel Takaki (Kansas University)

66. SAGIPS: A scalable Framework for SciDAC QuantOM

Daniel Lersch (Jefferson Lab)