PAI26 Poster Sessions
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Session 1
Paper Title | Authors |
| 1. Emulating Cosmic Structure Formation with a Lagrangian Neural Cellular Automaton | Cooper Jacobus | Beatriz Tucci | Oliver Philcox |
| 2. SEAL: A Symmetry Encouraging Loss for High Energy Physics | Inbar Savoray | Pradyun Hebbar | Thandikire Madula | Vinicius Mikuni | Benjamin Nachman | Nadav Joseph Outmezguine |
| 3. Corruption Structure Determines Failure Mode in MRI Reconstruction: A Controlled Measurement-Space Analysis | Poojak Patel | Maneth Perera |
| 5. Towards Improved Pileup Rejection through Physics-Informed Denoising of Cryogenic Bolometer Pulses | Colin James DuHamel | Thomas Gutierrez | Sumona Mukhopadhyay |
| 6. Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation | Andi Gu | Juan Pablo Bonilla Ataides | Mikhail Lukin | Susanne Yelin |
| 7. Quantifying Astrophysical Scattering With Transformers: Generic Mixture Density Network for FRB Analysis | Bikash Kharel | Emmanuel Fonseca | Srinjoy Das |
| 8. Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion | Jitao Xu | Christina Cocuzza | Kevin Braga | Daniel Lersch | Nobuo Sato | Yaohang Li |
| 9. Differentiable Tactical Optimization of Aerial Wildfire Suppression | ION MATEI | Maksym Zhenirovskyy | Takuya Kurihana | Rohit Vuppala | Anthony Wong |
| 10. Th229-ScanBench: A Public Dataset and Benchmark for Time-Varying Signal Detection in Thorium-229 Nuclear Clock Records | Nurkyz Ydyrysova |
| 11. Neutrino Fingerprints: Image-Based Encodings of IceCube Events for CNN Direction Reconstruction | Brecht F. Verbeken | Floriano Tori |
| 12. From Active Stars to Black Holes II: Discovery of H$\alpha$ Emission in Ultra-Low Resolution Gaia XP Spectra with Machine Learning | Antonio C. Rodriguez | V Ashley Villar | Edo Berger | Valeria Villa |
| 13. DEMNet: Evaluating Solar Differential Emission Measure Inversion with Deep Learning | V. Samuel PĂ©rez-DĂaz | Ruoyu Wang | Karin Dissauer | K.D. Leka | David Fouhey |
| 14. JetMAE Decoding Jet Identity: How Colour Factors Explain 96% of a Neural Tagger’s Decisions | SAMARJEET MALIK | Mugdha Raje Ashiya | Dr. Gaurav Harit | Mansi Ganga Nayak |
| 15. PanopTag: Simultaneously Tagging All Jets in a Particle Collision Event | Umar Sohail Qureshi | Brendon Bullard | Ariel Schwartzman |
| 16. Graph Attention Interaction Networks and Particle Tracking at LDMX | Majd Ghrear | Elizabeth Berzin | Lauren Tompkins | Matt Graham |
| 17. Normalizing Flows to Reconstruct Pseudo-PDFs | Yamil Cahuana Medrano | Kostas Orginos |
| 18. Characterizing Stellar Streams with Error-Aware Machine Learning | Alexandros Pratsos | Biprateep Dey | Ting Li |
| 19. Neural Compression for Scientific Particle Data: Perspectives on How Learning Can Help | Tian Qiu | Carolina Cuesta-Lazaro | Sheng Di | Haewon Jeong |
| 20. Integral Field Unit Spectroscopy with One Fiber | Zehao Peng | Biprateep Dey | Joshua S. Speagle | Chris J. Maddison |
| 21. Exploring the connection between optical and X-ray | Rebeka Bottger | Rocco Di Tella | Carol Cuesta-Lazaro | Jason R. Reeves | Nico Cappelluti | Juan Rafael MartĂnez-Galarza |
| 22. Differentiable Simulation for Calibration and Reconstruction of Optical Particle Detectors | Omar Alterkait | CĂ©sar JesĂşs Valls |
| 23. Deriving an Analytical Expression for the Rise of Type Ia Supernovae with Symbolic Regression | Mark Kanex | Qinan Wang |
| 24. Physics-Guided Implicit Neural Representations for Gamma-Ray Burst Localization with COSI | Srinadh Reddy Bhavanam | Marco Ajello | Mark Leising | Dieter Hartmann | Yong Sheng | Christopher Karwin |
Session 2
Paper Title | Authors |
| 1. Chain-of-Thought Physics Benchmark for Reasoning Models | Filomela V. Gerou | Nesar Soorve Ramachandra | Azton Wells |
| 2. The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models | Sogol Sanjaripour | Michael J. Smith | Manuel Ignacio PĂ©rez-Carrasco | Juan Rafael MartĂnez-Galarza | Bahram Mobasher | E. Gabriela Canalizo |
| 3. MadEvolve: Evolutionary Optimization of Cosmological Algorithms with Large Language Models | SHIHUI ZANG | Tianyi Li | Moritz MĂĽnchmeyer |
| 4. CaloRex: From Self-Supervised Representation Learning to Fast Calorimeter Simulation | Cheng Jiang | Sitian Qian | Huilin Qu |
| 5. Do Vision-Language Models See Dwarf Galaxies the Way We Do? | Dimitrios Tanoglidis | Chin Yi Tan | Kate Overdeck | Alex Drlica-Wagner |
| 6. Fine-Tuning Small Reasoning Models for Quantum Field Theory | Nathaniel S. Woodward | Zhiqi Gao | Yurii Kvasiuk | Kendrick Smith | Frederic Sala | Moritz MĂĽnchmeyer |
| 7. A Pilot Study of Discourse Structure in AI-Generated Introductory Physics Explanations | Abdul Mohammad |
| 8. LLM-Powered Automation of a Dark Matter Constraint Repository | Lanqing Yuan |
| 9. Neural Scaling Laws for Jet Tagging with Particle Transformers | Sitian Qian | Cheng Jiang | Alexandre De Moor | Pavlo Kashko | Ya-Feng Lo |
| 10. Predictable scaling for amplitude surrogates | Victor Breso Pla | Henning Bahl | Anja Butter |
| 11. Quasar: An AI-Powered Research Assistant for Astronomy Archive Workflows | Adam Zacharia Anil | Adele L. Plunkett | Stella S. R. Offner | Brian S. Mason |
| 12. Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions | Gregor KrĹľmanc | Vinicius Mikuni | Benjamin Nachman | Callum Wilkinson |
| 13. Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model | Karla Tame-Narvaez | Aleksandra Ciprijanovic | Shubhendu Trivedi |
| 14. A Scientific Human-Agent Reproduction Pipeline | Dennis Noll | Joschka Birk | Gregor Kasieczka | Benjamin Nachman | Siddharth Mishra-Sharma | Tanvi Wamorkar |
| 15. AI Agents Can Already Autonomously Perform Experimental High Energy Physics | Eric A. Moreno | Samuel Bright-Thonney | Andrzej Novak | Dolores Garcia | Philip Harris |
| 16. Agentic-AI Detector Co-design and Optimization in Vertically-Integrated Differentiable Full Simulations | Wonyong Chung | Julia Gonski | Qibin Liu | Liangyu Wu |
| 17. Simulation-Based Inference with Balanced Neural Ratio Estimators: A Standardized Pipeline with Agent-Assisted Workflows | Diego González-Hernández | Kathlynn Simotas | Joseph Hennawi |
| 18. Advection Heads in an Atmosphere Foundation Model | Theodore MacMillan | Elias Huseby | Sho Takatori | Nicholas Ouellette |
| 19. Improving Compute-Optimal Scaling for Jet Classification with BSM Pretraining | Jan-Lucas Uslu | Kevin Greif | Benjamin Nachman |
| 20. Decoding Feynman: A Cognitive Knowledge Graph for Physics Reasoning and Education | Jawwad Shadman Siddique |
| 21. LORE: A Deployed AI Agent for Physics Experiment Documentation | Axel Ramirez |
| 22. Agentic AI for Cross-Disciplinary Next-Generation Gravitational-Wave Forecasting | Zihan Zhou | Digvijay Wadekar |
| 23. Microlensing Detection and Inference via Learned Bayes Factors | Nolan Smyth | Laurence Perreault-Levasseur | Yashar Hezaveh |
| 24. A Modernized, AI-Ready Polarized Electron-Positron Dataset | Chi Lung Cheng, Benjamin Nachman, Simon Corrodi, Timothy Hobbs, Alaettin Serhan Mete |
Session 3
Paper Title | Authors |
| 1. Generative Criticality in Large Language Model Temperature Scaling | Huajian Ruan | Jinyang Li | Xingyu Guo | Lingxiao Wang |
| 2. Reservoir Computing: From Classical Edge of Chaos to Quantum Dynamical Phases | Lili Ye | Ying-Cheng Lai |
| 3. Dynamical Regimes of Multimodal Diffusion Models | Emil Albrychiewicz | Li-Ching Chen | Andrés Franco Valiente |
| 4. Learning at the Edge: Tailed-Uniform Sampling for Robust Simulation-Based Inference | Chaipat Tirapongprasert | Matthew Ho |
| 5. DegenDetector: Symbolic Recovery of Parameter Degeneracies in Bayesian Posteriors | Chaipat Tirapongprasert | Matthew Ho |
| 6. Reweighting Adversarial Networks for Unbinned Unfolding | Umar Sohail Qureshi | Krish Desai | Benjamin Nachman | Jesse Thaler |
| 7. Evaluating Operators for Acoustic Wave Simulation Correction | Pascal Tribel | Gianluca Bontempi |
| 8. Tools for Unbinned Unfolding | Ryan Milton | Vinicius Mikuni | Trevin Lee | Miguel Arratia | Tanvi Wamorkar | Benjamin Nachman |
| 9. AI-Assisted Development of a PDE Solver for CMB Spectral Distortions | Ethan Baker | Hongwan Liu | Siddharth Mishra-Sharma |
| 10. Explicit or Implicit? Encoding Physics at the Precision Frontier | Tanvi Wamorkar | Victor Breso Pla | Kevin Greif | Vinicius Mikuni | Benjamin Nachman | Tilman Plehn | Daniel Whiteson |
| 11. When Independent Gaussian Models Break Down: Characterizing Regime-Dependent Modeling Failures in $\phi^4$ Theory | Anish Bhat | Ryo Ide | Zihan Zhao |
| 12. Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics | Pablo Mercader-Perez | Carolina Cuesta-Lazaro | Daniel Muthukrishna | Jeroen Audenaert | V Ashley Villar | David W Hogg | Marc Huertas-Company | William T. Freeman |
| 13. Covariant Contrastive Learning for Uncertainty-Aware Anomaly Detection | Shelley Tong | Gaia Grosso | Philip Harris |
| 14. Capturing non-Markovian dynamics in non-equilibrium stochastic systems using flow matching | Bhargav Sriram Siddani | John B. Bell | Alejandro L. Garcia | Ishan Srivastava |
| 15. GraphGP: Scalable Gaussian Processes with Vecchia's Approximation | Benjamin Dodge | Philipp Frank | Susan E. Clark |
| 16. Automatic discovery of local learning rules | Andrea Perin | Fabio Anselmi | Stephane Deny |
| 17. Renormalization Phenomenology in LLM Agent Memory Compression: Scaling Laws, Fixed Points, and Anomalous Summarization | Yankang Meng |
| 18. Learning to See Sharper: A Physics-Informed Artificial Intelligence Framework for Super-Resolving Galaxy Spectra | Aryana Haghjoo | Shoubaneh Hemmati | Bahram Mobasher |
| 19. Prior Dependence in Neural Ratio Estimation | Nabil Salama | Po-Wen Chang | Katherine Fraser | Benjamin Nachman |
| 20. Detecting LLM Hallucination on Dynamical Systems via Physics-Based Audit Signals | Ahmad A Rushdi |
| 21. LLM-Discovered Curvature-Sensitive Growth in Continuous Cellular Automata | Hong Zhe |
| 22. Sampling the Schwinger Model with Gauge-Equivariant Diffusion | Octavio Vega, Aida El-Khadra |
| 23. Graph Neural Networks for the Graphical Bootstrap | Rigers Aliaj | Gabriele Dian | Reza Doobary | Paul Heslop |
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