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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Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
- - Tengfei Ma
  - Jie Chen
- 2021
- AAAI 2021
Online Optimal Control with Affine Constraints
- - Yingying Li
  - Subhro Das
  - et al.
- 2021
- AAAI 2021
A New Bounding Scheme for Influence Diagrams
- - Radu Marinescu
  - Junkyu Lee
  - et al.
- 2021
- AAAI 2021
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
- - Elad Amrani
  - Rami Ben-Ari
  - et al.
- 2021
- AAAI 2021
Adaptive Verifiable Training Using Pairwise Class Similarity
- - Shiqi Wang
  - Kevin Eykholt
  - et al.
- 2021
- AAAI 2021
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training
- - Xiao Qin
  - Nasrullah Sheikh
  - et al.
- 2021
- AAAI 2021
Augmenting Policy Learning with Routines Discovered from a Demonstration
- - Zelin Zhao
  - Chuang Gan
  - et al.
- 2021
- AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp
- - Akhilan Boopathy
  - Tsui-Wei Weng
  - et al.
- 2021
- AAAI 2021
Type-augmented Relation Prediction in Knowledge Graphs
- - Zijun Cui
  - Pavan Kapanipathi
  - et al.
- 2021
- AAAI 2021
Differentially Private Stochastic Coordinate Descent
- - Georgios Damaskinos
  - Celestine Mendler-Dünner
  - et al.
- 2021
- AAAI 2021