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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Machine Learning

1333 results for Machine Learning

Language models in molecular discovery
- - Nikita Janakarajan
  - Tim Erdmann
  - et al.
- 2023
- NeurIPS 2023
Symbolic Learning for Material Discovery
- - Daniel Cunnington
  - Flaviu Cipcigan
  - et al.
- 2023
- NeurIPS 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
- - Akihiro Kishimoto
  - Hiroshi Kajino
  - et al.
- 2023
- NeurIPS 2023
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- NeurIPS 2023
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- - Naiyu Yin
  - Hanjing Wang
  - et al.
- 2023
- NeurIPS 2023
Duality and Sample Complexity for the Gromov-Wasserstein Distance
- - Zhengxin Zhang
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
Sequential data-consistent model inversion
- - Tim Rumbell
  - Catherine Wanjiru
  - et al.
- 2023
- NeurIPS 2023
On Representations of Mean-Field Variational Inference
- - Soumyadip Ghosh
  - Yingdong Lu
  - et al.
- 2023
- NeurIPS 2023
Understanding Mode Connectivity via Parameter Space Symmetry
- - Bo Zhao
  - Nima Dehmamy
  - et al.
- 2023
- NeurIPS 2023
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks
- - Daniel Gibert
  - Giulio Zizzo
  - et al.
- 2023
- CCS 2023