Event-driven continuous time bayesian networks
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- AAAI 2020
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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79 results for Causality
Cost-Sensitive Bayesian Active Molecular Design with Auxiliary Properties
- Elliot Nelson
- Dmitry Zubarev
- 2023
- MRS Spring Meeting 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Kristjan Greenewald
- et al.
- 2023
- NeurIPS 2023
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference
- Manik Bhandari
- Mark Feblowitz
- et al.
- 2021
- AAAI 2021
On the Equivalence of Bi-Level Optimization and Game-Theoretic Formulations of Invariant Risk Minimization
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2023
- NeurIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Chandler Squires
- et al.
- 2023
- ICML 2023
Causal Inference Q-Network: Toward Resilient Reinforcement Learning
- Huck Yang
- I-Te Hung
- et al.
- 2021
- ICLR 2021
Structure Discovery in (Causal) Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- NeurIPS 2020
Combining Data and Theory for Derivable Scientific Discovery with AI-Descartes
- Cristina Cornelio
- Sanjeeb Dash
- et al.
- 2023
- Nature Communications