Zalán Borsos

Zalán Borsos

I am a research software engineer at Google Research. I received my PhD at ETH Zurich under the supervision of Prof. Andreas Krause. My PhD research focused on data summarization and adaptive data subsampling techniques for resource-constrained machine learning systems.

Publications

Semi-supervised Batch Active Learning via Bilevel Optimization
Zalán Borsos, Marco Tagliasacchi, Andreas Krause
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
[paper] [code]

MicAugment: One-shot Microphone Style Transfer
Zalán Borsos, Yunpeng Li, Beat Gfeller, Marco Tagliasacchi
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
[paper]

Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalán Borsos, Mojmír Mutný, Andreas Krause
Neural Information Processing Systems (NeurIPS), 2020
[paper] [code]

Online Variance Reduction with Mixtures
Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy, Andreas Krause
International Conference on Machine Learning (ICML), 2019
[paper] [code]

Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents
Zalán Borsos, Andrey Khorlin, Andrea Gesmundo
6th ICML Workshop on Automated Machine Learning, 2019
[paper] [talk]

Online Variance Reduction for Stochastic Optimization
Zalán Borsos, Andreas Krause, Kfir Yehuda Levy
Conference On Learning Theory (COLT), 2018
[paper] [code]

Dealing with Overlap and Imbalance: a New Metric and Approach
Zalán Borsos, Camelia Lemnaru, Rodica Potolea
Pattern Analysis and Applications, 2016
[paper]

Implementing Modular FFTs in FPGAs–A Basic Block for Lattice-Based Cryptography
Tamas Györfi, Octavian Cret, Zalán Borsos
Digital System Design (DSD), 2013
[paper]