Metod Jazbec

According to our database, Metod Jazbec authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dynamic Vocabulary Pruning in Early-Exit LLMs.

Jort Vincenti, Karim Abdel Sadek, Joan Velja, Matteo Nulli, Metod Jazbec

CoRR, 2024

DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach.

Daniel Gallo Fernández, Razvan-Andrei Matisan, Alejandro Monroy Muñoz, Ana-Maria Vasilcoiu, Janusz Partyka, Tin Hadzi Veljkovic, Metod Jazbec

CoRR, 2024

Early-Exit Neural Networks with Nested Prediction Sets.

Metod Jazbec, Patrick Forré, Stephan Mandt, Dan Zhang, Eric T. Nalisnick

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Fast yet Safe: Early-Exiting with Risk Control.

Metod Jazbec, Alexander Timans, Tin Hadzi Veljkovic, Kaspar Sakmann, Dan Zhang, Christian Andersson Naesseth, Eric T. Nalisnick

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Anytime-Valid Confidence Sequences for Consistent Uncertainty Estimation in Early-Exit Neural Networks.

Metod Jazbec, Patrick Forré, Stephan Mandt, Dan Zhang, Eric T. Nalisnick

CoRR, 2023

Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity.

Metod Jazbec, James Urquhart Allingham, Dan Zhang, Eric T. Nalisnick

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Scalable Gaussian Process Variational Autoencoders.

Metod Jazbec, Matthew Ashman, Vincent Fortuin, Michael Pearce, Stephan Mandt, Gunnar Rätsch

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Factorized Gaussian Process Variational Autoencoders.

Metod Jazbec, Michael Pearce, Vincent Fortuin

CoRR, 2020

Scalable Gaussian Process Variational Autoencoders.

Metod Jazbec, Vincent Fortuin, Michael Pearce, Stephan Mandt, Gunnar Rätsch

CoRR, 2020

On the impact of publicly available news and information transfer to financial markets.

Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm

CoRR, 2020