The 11th LITP Spring Symposium : Theoretical Physics and AI
from
Monday, 18 May 2026 (03:00)
to
Wednesday, 20 May 2026 (12:30)
Monday, 18 May 2026
09:00
Welcome
Welcome
09:00 - 09:10
Room: 340
09:10
Neural Networks and Field Theory
-
Jim Halverson
Neural Networks and Field Theory
Jim Halverson
09:10 - 09:50
Room: 340
09:50
Universality, Topology, and Symmetry in Neural Network Field Theory
-
Christian Ferko
Universality, Topology, and Symmetry in Neural Network Field Theory
Christian Ferko
09:50 - 10:30
Room: 340
10:30
Coffee Break
Coffee Break
10:30 - 11:10
Room: 340
11:10
The FERMIACC: Agents for Particle Theory
-
Amalia Madden
The FERMIACC: Agents for Particle Theory
Amalia Madden
11:10 - 11:50
Room: 340
11:50
Generative AI and Agentic Computing in the Theoretical Sciences: Progress and the Road Ahead
-
Karthik Duraisamy
Generative AI and Agentic Computing in the Theoretical Sciences: Progress and the Road Ahead
Karthik Duraisamy
11:50 - 12:30
Room: 340
12:30
Lunch
Lunch
12:30 - 14:00
Room: 340
14:00
Generative AI and Lattice Gauge Theory
-
Octavio Vega
(
University of Illinois Urbana-Champaign
)
Generative AI and Lattice Gauge Theory
Octavio Vega
(
University of Illinois Urbana-Champaign
)
14:00 - 14:40
Room: 340
14:40
Viability of perturbative expansion for quantum field theories on neurons
-
Srimoyee Sen
Viability of perturbative expansion for quantum field theories on neurons
Srimoyee Sen
14:40 - 15:20
Room: 340
15:20
Coffee Break
Coffee Break
15:20 - 16:00
Room: 340
16:00
On the Separability of Information in Diffusion models
-
Akhil Premkumar
On the Separability of Information in Diffusion models
Akhil Premkumar
16:00 - 16:40
Room: 340
17:30
Reception
Reception
17:30 - 20:00
Room: 337
Tuesday, 19 May 2026
09:10
Adventures with Agentic AI (in Particle Physics)
-
David Shih
Adventures with Agentic AI (in Particle Physics)
David Shih
09:10 - 09:50
Room: 340
09:50
AI for Amplitudes: Building Sentences from Words
-
Julie Pagès
AI for Amplitudes: Building Sentences from Words
Julie Pagès
09:50 - 10:30
Room: 340
10:30
Coffee Break
Coffee Break
10:30 - 11:10
Room: 340
11:10
QCD Theory meets Information Theory
-
Ben Assi
QCD Theory meets Information Theory
Ben Assi
11:10 - 11:50
Room: 340
11:50
Trustworthy Neural Simulation-Based Inference at Colliders
-
Sean Benevedes
Trustworthy Neural Simulation-Based Inference at Colliders
Sean Benevedes
11:50 - 12:30
Room: 340
12:30
Lunch
Lunch
12:30 - 14:00
Room: 340
14:00
Giving Machine Learning a Boost Towards Respecting (Approximate) Symmetries
-
Inbar Savoray
Giving Machine Learning a Boost Towards Respecting (Approximate) Symmetries
Inbar Savoray
14:00 - 14:40
Room: 340
14:40
Resummed Distribution Functions: making perturbation theory positive and normalized
-
Radha Mastandrea
Resummed Distribution Functions: making perturbation theory positive and normalized
Radha Mastandrea
14:40 - 15:20
Room: 340
15:20
Coffee Break
Coffee Break
15:20 - 16:00
Room: 340
16:00
Computing the Uncomputable: String Compactifications with Neural Networks
-
Thomas Harvey
Computing the Uncomputable: String Compactifications with Neural Networks
Thomas Harvey
16:00 - 16:40
Room: 340
Wednesday, 20 May 2026
09:10
Towards Probabilistic Cataloging of Next Generation Cosmology Surveys with BLISS: the Bayesian Light Source Separator
-
Camille Avestruz
Towards Probabilistic Cataloging of Next Generation Cosmology Surveys with BLISS: the Bayesian Light Source Separator
Camille Avestruz
09:10 - 09:50
Room: 340
09:50
Fine-Tuning Small Reasoning Models for Quantum Field Theory
-
Nathaniel S. Woodward
(
University of Wisconsin-Madison
)
Fine-Tuning Small Reasoning Models for Quantum Field Theory
Nathaniel S. Woodward
(
University of Wisconsin-Madison
)
09:50 - 10:30
Room: 340
10:30
Coffee Break
Coffee Break
10:30 - 11:10
Room: 340
11:10
TBD
-
Tilman Plehn
TBD
Tilman Plehn
11:10 - 11:50
Room: 340
11:50
AI and the Research Enterprise: Discussion
AI and the Research Enterprise: Discussion
11:50 - 12:30
Room: 340