Topology-driven pre-training for robust molecular property prediction models
- Aldo Guzmán-Sáenz
- Sanjoy Dey
- et al.
- 2023
- ACS Fall 2023
Publications
738 results for Foundation Models
Seeing the unseen: leveraging vision models to extract digital fingerprints of complex liquids
- Gianmarco Gabrieli
- Matteo Manica
- et al.
- 2023
- ACS Fall 2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
- Vijay Ekambaram
- Arindam Jati
- et al.
- 2023
- KDD 2023
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
- Arindam Jati
- Vijay Ekambaram
- et al.
- 2023
- KDD 2023
The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles
- Md Shamim Hussain
- Mohammed J. Zaki
- et al.
- 2023
- KDD 2023
Integrating Chemical Language and Physicochemical Features for Enhanced Molecular Property Prediction with Multimodal Language Models
- 2023
- KDD 2023
Scope 3 emission estimation using large language models
- 2023
- KDD 2023
Challenges in post-training quantization of Vision Transformers
- Piotr Sebastian Kluska
- Florian Scheidegger
- et al.
- 2023
- KDD 2023
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning
- Derek Cheng
- Dhaval Patel
- et al.
- 2023
- KDD 2023
MaxCorrMGNN: A Multi-Graph Neural Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
- Niharika DSouza
- Hongzhi Wang
- et al.
- 2023
- ICML 2023