publications
2024
- Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor GeneralizationNeurIPS, 2024
- Efficient Model Compression Techniques with FishLegNeurIPS, Workshop on Machine Learning and Compression, 2024
- Combination of aN3LO PDFs and implications for Higgs production cross-sections at the LHC2024
2023
- Approximate N3LO parton distribution functions with theoretical uncertainties: MSHT20aN3LO PDFsThe European Physical Journal C, Mar 2023
- A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion RetailMar 2023
2021
- Meta-Learning with MAML on TreesMar 2021