| Agentic AI for Autonomous Gravitational Lensing Simulation Workflows |
| Agentic AI for High Energy Physics Analyses at the CMS Detector |
| Agentic AI for High Energy Physics Data Quality Monitoring |
| Agentic Exclusion Limit Extraction |
| Agentic Lagrangian Extraction from the Literature |
| Automated Scientific Discovery of Quantum Machine Learning Architectures |
| Brain-to-Brain Decoder - Validating Neural Synchrony Patterns in Human Conversation |
| Building and Comparing Segmentation Strategies for Coronary Artery Calcium (CAC) |
| Data Augmentation Using Physics-Informed Plaque Growth Simulation |
| Data Processing Pipeline for the LSST |
| Deep Graph anomaly detection with contrastive learning for new physics searches |
| Deep Learning Inference for mass regression |
| Denoising Astronomical Observations of Protoplanetary Disks |
| Diffusion Models for Fast Detector Simulation |
| Diffusion models for fast and accurate simulations of low level CMS experiment data. |
| Discovery of hidden symmetries and conservation laws |
| End-to-End event classification with sparse neural networks |
| End-to-End particle collision track reconstruction |
| Equivariant Vision Networks for Predicting Planetary Systems’ Architectures |
| Equivariant quantum neural networks for High Energy Physics Analysis at the LHC |
| Event Classification With Masked Transformer Autoencoders |
| Exoplanet Atmosphere Characterization |
| Fast Accurate Symbolic Empirical Representation Of Histograms |
| Foundation Model for Gravitational Lensing |
| Foundation Models for Exoplanet Characterization |
| Foundation Models for Squared Amplitude Calculation |
| Foundation models for End-to-End event reconstruction |
| Graph Representation Learning for Fast Detector Simulation |
| Graph Transformers for Fast Detector Simulation |
| Gravitational Lens Finding |
| Hybrid Quantum-Classical Representation Learning for Dark Matter Substructure Classification |
| Implementation of Quantum Generative Adversarial Networks to Perform High Energy Physics Analysis at the LHC |
| Jet Observable Library for Monte Carlo Validation |
| LM-JEPA for Squared Amplitude Calculation |
| LM-JEPA for Symbolic Regression |
| Learning Parametrization with Implicit Neural Representations |
| Learning quantum representations of classical high energy physics data with contrastive learning |
| Learning the Latent Structure with Diffusion Models |
| Linear attention vision transformers for end to end mass regression and classification |
| ML-Based Simulation Bias Analysis - Pythia vs Herwig vs Data |
| Neural Operators for Fast Simulation of Strong Gravitational Lensing |
| Non-local GNNs for Jet Classification |
| Optimal Transport in High Energy Physics |
| Physics Guided Machine Learning on Real Lensing Images |
| Physics-Informed Diffusion Models for Gravitational Lensing Simulation |
| Physics-Informed Encoding and Decoding for Squared Amplitude Calculation |
| Physics-Informed Models for Squared Amplitude Calculation |
| Physics-Informed Neural Network Diffusion Equation (PINNDE) |
| Physics-Informed Neural Network Diffusion Equation (PINNDE) |
| Physics-informed neural network shape optimization |
| Q-MAML - Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms for High Energy Physics Analysis at the LHC |
| Quantum Circuit Design with LLMs |
| Quantum Diffusion Model for High Energy Physics |
| Quantum Foundation Model for High Energy Physics |
| Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC |
| Quantum Kolmogorov-Arnold Networks for High Energy Physics Analysis at the LHC |
| Quantum Machine Learning for Exoplanet Characterization |
| Quantum Machine Learning for Exoplanet Characterization |
| Quantum Particle transformer for High Energy Physics Analysis at the LHC |
| Quantum Reinforcement Learning for High Energy Physics |
| Quantum Resource Analysis and Benchmarking |
| Quantum transformer for High Energy Physics Analysis at the LHC |
| Radiomics Feature Extraction and Calcium Phenotype Discovery |
| Semi-supervised Symmetry Discovery |
| Super resolution at the CMS detector |
| Super resolution at the CMS detector |
| Symbolic Regression for Observable Event-Level Reweighting |
| Titans for Squared Amplitude Calculation |
| Unsupervised Super-Resolution and Analysis of Real Lensing Images |
| Using Next-Gen Transformers to Seed Generative Models for Symbolic Regression |