Scholar
Hrayr Harutyunyan
Google Scholar ID: GaCGz8wAAAAJ
Research Scientist, Google DeepMind
Large Language Models
Pre-training
Post-training
Learning Theory
Information Theory
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Citations & Impact
All-time
Citations
2,703
H-index
9
i10-index
9
Publications
20
Co-authors
19
list available
Contact
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Publications
3 items
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
2025
Cited
0
Continuous Chain of Thought Enables Parallel Exploration and Reasoning
2025
Cited
0
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
arXiv.org · 2024
Cited
2
Resume (English only)
Academic Achievements
Paper 'Mixture-of-recursions: Learning dynamic recursive depths for adaptive token-level computation' accepted at NeurIPS 2025 (Sept 2025)
Paper 'Supervision Complexity and its Role in Knowledge Distillation' accepted at ICLR 2023
Paper 'Formal limitations of sample-wise information-theoretic generalization bounds' accepted at 2022 IEEE Information Theory Workshop
Paper 'Failure Modes of Domain Generalization Algorithms' accepted at CVPR 2022
Paper 'Information-theoretic generalization bounds for black-box learning algorithms' accepted at NeurIPS 2021
Paper 'Estimating informativeness of samples with Smooth Unique Information' accepted at ICLR 2021
Paper 'Improving generalization by controlling label-noise information in neural network weights' accepted at ICML 2020
Paper 'Reducing overfitting by minimizing label information in weights' accepted at NeurIPS'19 Information Theory and Machine Learning Workshop
Paper 'Fast structure learning with modular regularization' accepted as a spotlight at NeurIPS 2019
Received free NeurIPS 2020 registration as a top 10% reviewer
Invited speaker at Rising Stars in AI Symposium 2023, KAUST, Saudi Arabia (Feb 2023)
Co-authors
19 total
Aram Galstyan
USC ISI & Amazon AGI
Greg Ver Steeg
Associate Professor, University of California, Riverside
Hrant Khachatrian
Yerevan State University; YerevaNN
Bryan Perozzi
Google Research
Co-author 5
Co-author 6
Sanjiv Kumar
Google Fellow, VP, Google DeepMind
Ankit Singh Rawat
Research Scientist, Google
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