Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
- Chulin Wang
- Eloisa Bentivegna
- et al.
- 2020
- NeurIPS 2020
Publications
1442 results for Machine Learning
Comparing Fisher Information Regularization with Distillation for DNN Quantization
- Prad Kadambi
- Karthikeyan Natesan Ramamurthy
- et al.
- 2020
- NeurIPS 2020
Reprogramming Language Models for Molecular Representation Learning
- Ria Vinod
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Hybrid Forecasting of Service Request Tickets with Human-in-the-loop (HitL)
- Shubhi Asthana
- Bing Zhang
- et al.
- 2020
- NeurIPS 2020
Exploring the Social Drivers of Health during a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19
- 2020
- EFMI STC 2020
Platform for Polymer Inverse-Design by Graph Generative Algorithms
- Seiji Takeda
- Toshiyuki Hama
- et al.
- 2020
- MRS Fall Meeting 2020
Effective Elastic Scaling of Deep Learning Workloads
- Vaibhav Saxena
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2020
- MASCOTS 2020
Towards a common environment for learning scheduling algorithms
- Renato Luiz Cunha
- Luiz Chaimowicz
- 2020
- MASCOTS 2020
Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings
- Matthew Pediaditis
- Anca-Nicoleta Ciubotaru
- et al.
- 2020
- AMIA Annual Symposium 2020
Analysis of Machine Learning Models and Identification of Factors for Predicting Preventive Care Services Usage in a Direct Primary Care Setting
- Jane L. Snowdon
- Ching-Hua Chen
- et al.
- 2020
- AMIA Annual Symposium 2020