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Publications

  1. Hashemi, Sayed Hadi, et al. "tensorflow-tracing: A Performance Tuning Framework for Production." 2019 {USENIX} Conference on Operational Machine Learning (OpML 19). 2019.
  2. Gupta, Arjun, et al. "Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms." arXiv preprint arXiv:1912.07618 (2019).
  3. Wei, Wei, et al. "Deep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey." arXiv preprint arXiv:1909.02024 (2019).
  4. Pearson, Carl, et al. "Update on Triangle Counting on GPU." 2019 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2019.
  5. Kothari, Konik, et al. "Random mesh projectors for inverse problems." (2018).
  6. Mailthody, Vikram S., et al. "Collaborative (cpu+ gpu) algorithms for triangle counting and truss decomposition." 2018 IEEE High Performance extreme Computing Conference (HPEC). IEEE, 2018.
  7. Almasri, Mohammad, et al. "Update on k-truss Decomposition on GPU." 2019 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2019.
  8. Luo, Shirui, et al. "Review and Examination of Input Feature Preparation Methods and Machine Learning Models for Turbulence Modeling." arXiv preprint arXiv:2001.05485 (2020).
  9. Graber, Colin, et al. "Unsupervised Discovery of Dynamic Neural Circuits." (2019).
  10. Graber, Colin, and Alexander Schwing. "Graph Structured Prediction Energy Networks." Advances in Neural Information Processing Systems. 2019.
  11. Burke, Colin J., et al. "Deblending and classifying astronomical sources with Mask R-CNN deep learning." Monthly Notices of the Royal Astronomical Society 490.3 (2019): 3952-3965.
  12. Yeh, Raymond A., Yuan-Ting Hu, and Alexander G. Schwing. "Chirality Nets: Exploiting Structure in Human Pose Regression."
  13. Fang, Tiantian, and Alexander Schwing. "Co-Generation with GANs using AIS based HMC." Advances in Neural Information Processing Systems. 2019.
  14. Wei, Wei, and E. A. Huerta. "Gravitational wave denoising of binary black hole mergers with deep learning." Physics Letters B 800 (2020): 135081.
  15. Liu, Iou-Jen, Raymond A. Yeh, and Alexander G. Schwing. "PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning." arXiv preprint arXiv:1911.00025 (2019).
  16. Lin, Jingxiang, Unnat Jain, and Alexander G. Schwing. "A Simple Baseline for Visual Commonsense Reasoning."
  17. Lin, Jingxiang, Unnat Jain, and Alexander Schwing. "TAB-VCR: Tags and Attributes based VCR Baselines." Advances in Neural Information Processing Systems. 2019.
  18. Lin, Jingxiang, Unnat Jain, and Alexander Schwing. "TAB-VCR: Tags and Attributes for Visual Commonsense Reasoning." (2019).
  19. Carrasquilla, Juan, et al. "Probabilistic Simulation of Quantum Circuits with the Transformer." arXiv preprint arXiv:1912.11052 (2019).
  20. Teixeira, Thiago SFX, William Gropp, and David Padua. "Managing code transformations for better performance portability." The International Journal of High Performance Computing Applications 33.6 (2019): 1290-1306.

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