Schaarschmidt, Michael

1. Pre-training via Denoising for Molecular Property Prediction
   2022/05/31 by Zaidi, Sheheryar, Schaarschmidt, Michael, Martens, James +6 · 7 citations
   #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
   2021/06/15 by Godwin, Jonathan, Schaarschmidt, Michael, Gaunt, Alexander +5 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Learned Force Fields Are Ready For Ground State Catalyst Discovery
   2022/09/26 by Schaarschmidt, Michael, Riviere, Morgane, Ganose, Alex M. +6 · 1 citation
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
4. Automap: Towards Ergonomic Automated Parallelism for ML Models
   2021/12/06 by Michael Schaarschmidt, Dominik Grewe, Schaarschmidt, Michael +19 · 1 citation
   Computer Science · #Parallel Computing and Optimization Techniques #Advanced Neural Network Applications #Embedded Systems Design Techniques
5. Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR
   2022/10/07 by Alabed, Sami, Grewe, Dominik, Franco, Juliana +6 · 1 citation
   #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #and Cluster Computing (cs.DC)