3 papers
cs.LG2026
Robust Molecular Property Prediction via Densifying Scarce Labeled Data
Jina Kim, Jeffrey Willette, Bruno Andreis +1
A widely recognized limitation of molecular prediction models is their reliance on structures observed in the training data, resulting in poor generalization to out-of-distribution…
cs.LG2025
Instruction-Guided Autoregressive Neural Network Parameter Generation
Soro Bedionita, Bruno Andreis, Song Chong +1
Learning to generate neural network parameters conditioned on task descriptions and architecture specifications is pivotal for advancing model adaptability and transfer learning. E…
cs.LG2024
Diffusion-Based Neural Network Weights Generation
Bedionita Soro, Bruno Andreis, Hayeon Lee +4
Transfer learning has gained significant attention in recent deep learning research due to its ability to accelerate convergence and enhance performance on new tasks. However, its…