Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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386 results for Generative AI

Generalization in generative adversarial networks: A novel perspective from privacy protection
- - Bingzhe Wu
  - Shiwan Zhao
  - et al.
- 2019
- NeurIPS 2019
DAG-GNN: DAG structure learning with graph neural networks
- - Yue Yu
  - Jie Chen
  - et al.
- 2019
- ICML 2019
GaN dissection: Visualizing and understanding generative adversarial networks
- - David Bau
  - Jun Yan Zhu
  - et al.
- 2019
- ICLR 2019
Resisting adversarial attacks using Gaussian mixture variational autoencoders
- - Partha Ghosh
  - Arpan Losalka
  - et al.
- 2019
- AAAI 2019
Constrained generation of semantically valid graphs via regularizing variational autoencoders
- - Tengfei Ma
  - Jie Chen
  - et al.
- 2018
- NeurIPS 2018
Exemplar encoder-decoder for neural conversation generation
- - Gaurav Pandey
  - Danish Contractor
  - et al.
- 2018
- ACL 2018
Sobolev Gan
- - Youssef Mroueh
  - Chun Liang Li
  - et al.
- 2018
- ICLR 2018
A deep generative framework for paraphrase generation
- - Ankush Gupta
  - Arvind Agarwal
  - et al.
- 2018
- AAAI 2018
Dynamic determinantal point processes
- - Takayuki Osogami
  - Rudy Raymond
  - et al.
- 2018
- AAAI 2018
Fisher GAN
- - Youssef Mroueh
  - Tom Sercu
- 2017
- NeurIPS 2017