Malachi Schram
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
5
Active years
2015–2024
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. | Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Jn Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li |
| 2024 | ICMLA | Location Invariant Flood Prediction using Fourier Neural Operator. | Chetan Kumar, Diana McSpadden, Steven Goldenberg, Malachi Schram, Heather Richter, Yidi Wang, Binata Roy, Jonathan L. Goodall |
| 2023 | AAAI | AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution. | Yu Wang, Jn Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li |
| 2018 | CLUSTER | Optimizing Distributed Data-Intensive Workflows. | Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker |
| 2017 | JSSPP | Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. | Ryan D. Friese, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre |
| 2015 | SC | Towards efficient scheduling of data intensive high energy physics workflows. | Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson |