Scholar
Bruno Andreis
Google Scholar ID: WzQ_v4IAAAAJ
KAIST
Citations & Impact
Citations
62
H-index
4
i10-index
3
Publications
12
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Robust Molecular Property Prediction via Densifying Scarce Labeled Data, ICML 2025
- Diffusion-based Neural Network Weights Generation, ICLR 2025
- Instruction-Guided Autoregressive Neural Network Parameter Generation, ICLR 2025
- Set-based Neural Network Encoding Without Weight Tying, NeurIPS 2024
- Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation, ICML 2023
- Set-based Meta-Interpolation for Few-Task Meta-Learning, NeurIPS 2022
- Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation, NeurIPS 2022
- Set Based Stochastic Subsampling, ICML 2022
- Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding, NeurIPS 2021
- Dynamic Detection-Tracking Switching, ICUFN 2018
Research Experience
- Postgraduate Research Fellow at the University of Oxford with the Torr Vision Group
Background
- Currently a Postgraduate Research Fellow at the University of Oxford with the Torr Vision Group. My research is mainly focused on deep learning and machine learning methods for set structured data, and AI for scientific discovery.
Miscellany
- Contact: andreis@robots.ox.ac.uk, GitHub: https://github.com/AndreisBruno, LinkedIn: https://www.linkedin.com/in/bruno-andreis-a0412268/
Co-authors