Raghav Kansalhttps://www.raghavkansal.com/authors/admin/Raghav KansalWowchemy (https://wowchemy.com)en_UShttps://www.raghavkansal.com/authors/admin/avatar_hu_1413eb645dcb3444.jpegRaghav Kansalhttps://www.raghavkansal.com/authors/admin/Multimarginal Flow Matching with Optimal Transport Potentialshttps://www.raghavkansal.com/publications/26-otpfm/Wed, 01 Jul 2026 00:00:00 +0000https://www.raghavkansal.com/publications/26-otpfm/An Evaluation of Representation Learning Methods in Particle Physics Foundation Modelshttps://www.raghavkansal.com/publications/25-foundation-models/Mon, 17 Nov 2025 00:00:00 +0000https://www.raghavkansal.com/publications/25-foundation-models/RINO: Renormalization Group Invariance with No Labelshttps://www.raghavkansal.com/publications/25-rino/Tue, 09 Sep 2025 00:00:00 +0000https://www.raghavkansal.com/publications/25-rino/Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecturehttps://www.raghavkansal.com/publications/24-jjepa/Fri, 06 Dec 2024 00:00:00 +0000https://www.raghavkansal.com/publications/24-jjepa/Induced Generative Adversarial Particle Transformershttps://www.raghavkansal.com/publications/23-igapt/Fri, 08 Dec 2023 00:00:00 +0000https://www.raghavkansal.com/publications/23-igapt/JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physicshttps://www.raghavkansal.com/publications/23-jetnet/Fri, 01 Sep 2023 00:00:00 +0000https://www.raghavkansal.com/publications/23-jetnet/Lorentz group equivariant autoencodershttps://www.raghavkansal.com/publications/23-lgae/Fri, 09 Jun 2023 00:00:00 +0000https://www.raghavkansal.com/publications/23-lgae/Evaluating generative models in high energy physicshttps://www.raghavkansal.com/publications/23-evaluating/Sat, 01 Apr 2023 00:00:00 +0000https://www.raghavkansal.com/publications/23-evaluating/FAIR AI Models in High Energy Physicshttps://www.raghavkansal.com/publications/23-fair-data/Wed, 21 Dec 2022 00:00:00 +0000https://www.raghavkansal.com/publications/23-fair-data/Do graph neural networks learn traditional jet substructure?https://www.raghavkansal.com/publications/22-xmlgnn/Fri, 09 Dec 2022 00:00:00 +0000https://www.raghavkansal.com/publications/22-xmlgnn/Particle-based fast jet simulation at the LHC with variational autoencodershttps://www.raghavkansal.com/publications/22-vaefastsim/Wed, 13 Jul 2022 00:00:00 +0000https://www.raghavkansal.com/publications/22-vaefastsim/Improving Di-Higgs Sensitivity at Future Colliders in Hadronic Final States with Machine Learninghttps://www.raghavkansal.com/publications/22-dihiggs-fcc/Mon, 04 Apr 2022 00:00:00 +0000https://www.raghavkansal.com/publications/22-dihiggs-fcc/A FAIR and AI-ready Higgs boson decay datasethttps://www.raghavkansal.com/publications/22-fair-higgs/Mon, 14 Feb 2022 00:00:00 +0000https://www.raghavkansal.com/publications/22-fair-higgs/Particle Cloud Generation with Message Passing Generative Adversarial Networkshttps://www.raghavkansal.com/publications/21-mpgan/Fri, 03 Dec 2021 00:00:00 +0000https://www.raghavkansal.com/publications/21-mpgan/Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distancehttps://www.raghavkansal.com/publications/21-pgae/Thu, 02 Dec 2021 00:00:00 +0000https://www.raghavkansal.com/publications/21-pgae/Explaining machine-learned particle-flow reconstructionhttps://www.raghavkansal.com/publications/21-xmlpf/Wed, 01 Dec 2021 00:00:00 +0000https://www.raghavkansal.com/publications/21-xmlpf/Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHChttps://www.raghavkansal.com/publications/21-sparse-vae/Tue, 21 Sep 2021 00:00:00 +0000https://www.raghavkansal.com/publications/21-sparse-vae/Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physicshttps://www.raghavkansal.com/publications/20-graphgan/Mon, 30 Nov 2020 00:00:00 +0000https://www.raghavkansal.com/publications/20-graphgan/