Harnessing negative data for enhancing model learning in chemistry
- Alessandra Toniato
- Mara Graziani
- et al.
- 2024
- ACS Fall 2024
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
1328 results for Machine Learning
Dynamics of representational learning in brain and artificial neural networks*
- Yuhai Tu
- Guillermo Morales
- et al.
- 2024
- APS March Meeting 2024
Automatic structure elucidation from IR spectra
- 2023
- ACS Fall 2023
Harnessing the Power of Language Models to Accelerate Material Design
- 2023
- ACS Fall 2023
Domain-specific languages as a tool for knowledge representation in polymer chemistry
- 2023
- ACS Fall 2023
Increasing the adoption of machine learning technologies by chemists with graphical and programmatic interfaces
- Alain Vaucher
- Matteo Manica
- et al.
- 2023
- ACS Spring 2023
Modern Hopfield Networks in AI and Neurobiology
- 2023
- APS March Meeting 2023
Potential and limitations of probabilistic modelling with quantum circuits
- Ryan Sweke
- Jens Eisert
- et al.
- 2023
- APS March Meeting 2023
Phase-change memory-based analog in-memory computing for AI
- 2022
- MRS Fall Meeting 2022
Predicting HLA-peptide complex immunogenicity with molecular dynamics and graph convolutional deep learning
- 2022
- ACS Fall 2022