Tianlin Liu

Research Scientist, Google DeepMind

Joined

December 2019

Names

Tianlin Liu

Emails

****@jacobs-alumni.de (Confirmed)

****@unibas.ch (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

DBLP

ACL Anthology

Career & Education History

Research Scientist

Google DeepMind (google.com)

2024 – Present

PhD student

University of Basel (unibas.ch)

2020 – 2024

MS student

Jacobs University Bremen (jacobs-university.de)

2017 – 2019

Undergrad student

Jacobs University Bremen (jacobs-university.de)

2013 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Ivan Dokmanić

2020 – 2024

MSc Advisor

Herbert Jaeger

2017 – 2019

Expertise

No areas of expertise listed

Publications

Learning multiscale convolutional dictionaries for image reconstruction
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanić
- IEEE Transactions of Computational Imaging
- Readers: Everyone
Loss Functions and Operators Generated by f-Divergences
Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel
- ICML 2025 poster
- Readers: Everyone
Joint Learning of Energy-based Models and their Partition Function
Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel
- ICML 2025 poster
- Readers: Everyone
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurelien Lucchi
- ICLR 2025 Poster
- Readers: Everyone
SeisLM: a Foundation Model for Seismic Waveforms
Tianlin Liu, Jannes Münchmeyer, Laura Laurenti, Chris Marone, Maarten V. de Hoop, Ivan Dokmanić
- Neurips 2024 Workshop FM4Science Poster
- Readers: Everyone
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad Hosein Danesh, Cyril Roumegous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João Guilherme Madeira Araújo, Guorui Quan, Daniel Chee Hian Tan, Timo Klein, Rujikorn Charakorn, Mark Towers et al. (13 additional authors not shown)
- Submitted to NeurIPS 2024 Track Datasets and Benchmarks
- Readers: Everyone
SDEs for Adaptive Methods: The Role of Noise
Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurelien Lucchi
- Submitted to NeurIPS 2024
- Readers: Everyone
Direct Language Model Alignment from Online AI Feedback
Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares-López, Alexandre Rame, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel
- Submitted to NeurIPS 2024
- Readers: Everyone
Decoding-time Realignment of Language Models
Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
- ICML 2024 Spotlight
- Readers: Everyone
Routers in Vision Mixture of Experts: An Empirical Study
Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver
- Accepted by TMLR
- Readers: Everyone

View all 30 publications

Co-Authors

View all 82 co-authors