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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20 results for Alexander Gray

What makes Models Compositional? A Theoretical View
- - Parikshit Ram
  - Tim Klinger
  - et al.
- 2024
- IJCAI 2024
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
- - Parikshit Ram
  - Alexander Gray
  - et al.
- 2023
- SDM 2023
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
- - Nandana Mihindukulasooriya
  - Gaetano Rossiello
  - et al.
- 2020
- ISWC 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
- - Dakuo Wang
  - Justin Weisz
  - et al.
- 2019
- CSCW 2019
What makes a Model Compositional? A Neuro-Symbolic Theoretical View
- - Parikshit Ram
  - Tim Klinger
  - et al.
- 2024
- IJCAI 2024
How Compositional is a Model?
- - Parikshit Ram
  - Tim Klinger
  - et al.
- 2023
- IJCAI 2023
Neuro-Symbolic Model-based RL with Logical Neural Network
- - Don Joven Ravoy Agravante
  - Daiki Kimura
  - et al.
- 2023
- IJCAI 2023
Explainable Neuro-Symbolic Reinforcement Learning
- - Daiki Kimura
  - Stefan Zecevic
  - et al.
- 2023
- IJCAI 2023
Reinforcement Learning with External Knowledge by using Logical Neural Networks
- - Daiki Kimura
  - SUBHAJIT CHAUDHURY
  - et al.
- 2021
- IJCAI 2020
Sygma: System for generalizable modular question answering over knowledge bases
- - Sumit Neelam
  - Udit Sharma
  - et al.
- 2022
- EMNLP 2022