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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31 results at IJCAI 2019

Explainable deep neural networks for multivariate time series predictions
- - Roy Assaf
  - Anika Schumann
- 2019
- IJCAI 2019
Protecting neural networks with hierarchical random switching: Towards better robustness-accuracy trade-off for stochastic defenses
- - Xiao Wang
  - Siyue Wang
  - et al.
- 2019
- IJCAI 2019
Reconet: An interpretable neural architecture for recommender systems
- - Francesco Fusco
  - Michalis Vlachos
  - et al.
- 2019
- IJCAI 2019
Balancing explicability and explanations for human-aware planning
- - Tathagata Chakraborti
  - Sarath Sreedharan
  - et al.
- 2019
- IJCAI 2019
Aligning learning outcomes to learning resources: A lexico-semantic spatial approach
- - Swarnadeep Saha
  - Malolan Chetlur
  - et al.
- 2019
- IJCAI 2019
Optimal exploitation of clustering and history information in multi-armed bandit
- - Djallel Bouneffouf
  - Srinivasan Parthasarathy
  - et al.
- 2019
- IJCAI 2019
Topology attack and defense for graph neural networks: An optimization perspective
- - Kaidi Xu
  - Hongge Chen
  - et al.
- 2019
- IJCAI 2019
Split Q learning: Reinforcement learning with two-stream rewards
- - Baihan Lin
  - Djallel Bouneffouf
  - et al.
- 2019
- IJCAI 2019
Bayesian inference of linear temporal logic specifications for contrastive explanations
- - Joseph Kim
  - Christian Muise
  - et al.
- 2019
- IJCAI 2019
DDL: Deep dictionary learning for predictive phenotyping
- - Tianfan Fu
  - Trong Nghia Hoang
  - et al.
- 2019
- IJCAI 2019