Publications

39 results at ICML 2021

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
- - Xin Zhao
  - Zeru Zhang
  - et al.
- 2021
- ICML 2021
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
- - Max Biggs
  - Wei Sun
  - et al.
- 2021
- ICML 2021
Auto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
- - Yonggan Fu
  - Yongan Zhang
  - et al.
- 2021
- ICML 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
- - Felix Petersen
  - Christian Borgelt
  - et al.
- 2021
- ICML 2021
Reimagining GNN Explanations with ideas from Tabular Data
- - Anjali Singh
  - Shamanth R Nayak K
  - et al.
- 2021
- ICML 2021
Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
- - Horst Samulowitz
  - Parikshit Ram
  - et al.
- 2021
- ICML 2021
Reinforcement Learning with Logical Action-Aware Features for Polymer Discovery
- - Sarathkrishna Swaminathan
  - Dmitry Zubarev
  - et al.
- 2021
- ICML 2021
Controlling Weather Field Synthesis Using Variational Autoencoders
- - Dario Augusto Borges Oliveira
  - Jorge Luis Guevara Diaz
  - et al.
- 2021
- ICML 2021
A comparative study of stochastic and deep generative models for multisite precipitation synthesis
- - Bianca Zadrozny
  - Dario Augusto Borges Oliveira
  - et al.
- 2021
- ICML 2021
Decadal Forecasts with ResDMD: a Residual DMD Neural Network
- - Eduardo Rodrigues
  - Bianca Zadrozny
  - et al.
- 2021
- ICML 2021