Scholar
Tianlin Liu
Google Scholar ID: 1bbQjM4AAAAJ
Google DeepMind
machine learning
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Citations & Impact
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Citations
1,024
H-index
14
i10-index
14
Publications
20
Co-authors
51
list available
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Publications
9 items
Learned Look-Ahead Splitting Rule for CART
2026
Cited
0
DiffusionGemma Technical Report
2026
Cited
0
Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
2025
Cited
0
Loss Functions and Operators Generated by f-Divergences
2025
Cited
0
Joint Learning of Energy-based Models and their Partition Function
2025
Cited
0
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
arXiv.org · 2024
Cited
1
GLIMPSE: Generalized Local Imaging with MLPs
arXiv.org · 2024
Cited
1
CEMSSL: Conditional Embodied Self-Supervised Learning is All You Need for High-precision Multi-solution Inverse Kinematics of Robot Arms
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2023
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0
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Academic Achievements
2024: Paper on decoding-time realignment of language models accepted as Spotlight at ICML 2024
2024: Paper on evaluating routers in vision mixture-of-experts accepted by TMLR
2024: Paper on benchmarking wave-propagation PDE solvers accepted by TMLR
2023: Blog post replicating OpenAI’s first RLHF paper selected as Spotlight in ICLR 2024 blog track
2023: Paper on sparsity-constrained optimal transport accepted as Spotlight at ICLR 2023
2022: Paper on multiscale convolutional dictionary learning published in IEEE Transactions on Computational Imaging
2022: Paper on universal approximation under constraints accepted as Spotlight at ICLR 2022
2020: Paper on training sparse neural networks accepted at ICML 2020
2019: Paper on word vector denoising accepted at AAAI 2020
2019: Paper on training spiking neural networks for neuromorphic hardware was a Best Paper Finalist at IEEE NER 2019
Co-authors
15 total
Mathieu Blondel
Google
Ivan Dokmanić
Associate Professor, Department of Mathematics and Computer Science, University of Basel
Shangmin Guo
University of Edinburgh
Johan Ferret
Research Scientist, Google DeepMind
Biao Zhang
Google
Tianqi Liu
Google DeepMind
Lyle Ungar
University of Pennsylvania
João Sedoc
Assistant Professor, Department of Technology, Operations, and Statistics, New York University