3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
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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383 results for Generative AI
Enterprise Benchmarks for Large Language Model Evaluation
- Bing Zhang
- Mikio Takeuchi
- et al.
- 2024
- arXiv
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- Vijay E
- Arindam Jati
- et al.
- 2024
- arXiv
Direct Sampling for Spatially Variable Extreme Event Generation in Resampling-Based Stochastic Weather Generators
- Jorge Guevara
- Maria Garcia
- et al.
- 2023
- J. Adv. Model. Earth Syst.
AI Foundation Models for Weather and Climate: Applications, Design and Implementation
- Karthik Mukkavilli
- Daniel Salles Civitarese
- et al.
- 2023
- arXiv
Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO
- David R. Bell
- Giacomo Domeniconi
- et al.
- 2021
- JCTC
Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action
- Jaimit Parikh
- Timothy Rumbell
- et al.
- 2021
- Journal of Pharmacokinetics and Pharmacodynamics
CASTELO: clustered atom subtypes aided lead optimization—a combined machine learning and molecular modeling method
- Leili Zhang
- Giacomo Domeniconi
- et al.
- 2021
- BMC Bioinformatics
PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning
- Jannis Born
- Matteo Manica
- et al.
- 2021
- iScience
Data-driven molecular design for discovery and synthesis of novel ligands: A case study on SARS-CoV-2
- Jannis Born
- Matteo Manica
- et al.
- 2021
- Machine Learning: Science and Tech.