Jazbec, Metod
- Scalable Gaussian Process Variational Autoencoders
2020/10/26 by Jazbec, Metod, Ashman, Matthew, Fortuin, Vincent +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
2023/06/05 by Jazbec, Metod, Allingham, James Urquhart, Zhang, Dan +1 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Early-Exit Neural Networks with Nested Prediction Sets
2023/11/10 by Jazbec, Metod, Forré, Patrick, Mandt, Stephan +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Generative Uncertainty in Diffusion Models
2025/02/28 by Jazbec, Metod, Wong-Toi, Eliot, Xia, Guoxuan +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Safe and Efficient In-Context Learning via Risk Control
2025/10/02 by Wynn, Andrea, Jazbec, Metod, Peris, Charith +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Unmasking Policies for Diffusion Language Models
2025/12/09 by Metod Jazbec, Theo X. Olausson, Jazbec, Metod +14 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Topic Modeling
- Monitoring Risks in Test-Time Adaptation
2025/07/11 by Schirmer, Mona, Jazbec, Metod, Naesseth, Christian A. +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)