Publications

Parallel Bayesian network structure learning
- - Tian Gao
  - Dennis Wei
- 2018
- ICML 2018
Structured variational learning of Bayesian neural networks with horseshoe priors
- - Soumya Ghosh
  - Jiayu Yao
  - et al.
- 2018
- ICML 2018
Demo abstract: Distributed machine learning at resource-limited edge nodes
- - Tiffany Tuor
  - Shiqiang Wang
  - et al.
- 2018
- INFOCOM 2018
Channel Geometry Impact and Narrow Sheet Effect of Stacked Nanosheet
- - Chun Wing Yeung
  - Jingyun Zhang
  - et al.
- 2018
- IEDM 2018
DyHard-DNN: Even more DNN acceleration with dynamic hardware reconfiguration
- - Mateja Putic
  - Alper Buyuktosunoglu
  - et al.
- 2018
- DAC 2018
Compensated-DNN: Energy efficient low-precision deep neural networks by compensating quantization errors
- - Shubham Jain
  - Swagath Venkataramani
  - et al.
- 2018
- DAC 2018
Automatically solving NP-complete problems on a quantum computer
- - Shaohan Hu
  - Peng Liu
  - et al.
- 2018
- ICSE 2018
ON THE INFORMATION BOTTLENECK THEORY OF DEEP LEARNING
- - Andrew M. Saxe
  - Yamini Bansal
  - et al.
- 2018
- ICLR 2018
Evidence aggregation for answer re-ranking in open-domain question answering
- - Shuohang Wang
  - Mo Yu
  - et al.
- 2018
- ICLR 2018
Attacking the Madry defense model with L₁-based adversarial examples
- - Yash Sharma
  - Pin-Yu Chen
- 2018
- ICLR 2018