Scholar
Beliz Gunel
Google Scholar ID: FckK6vUAAAAJ
Google Deepmind
Citations & Impact
Citations
2,110
H-index
13
i10-index
13
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'VORTEX: Physics-Driven Data Augmentations for Consistency Training for Robust Accelerated MRI Reconstruction' accepted as Oral at MIDL 2022
- Paper 'SSFD: Self-Supervised Feature Distance as an MR Image Reconstruction Quality Metric' accepted at NeurIPS Deep Inverse 2021
- Paper 'Data-Efficient Information Extraction from Form-Like Documents' accepted at KDD-DI 2021; method in production at Google AI
- Paper 'Self-training Improves Pretraining for Natural Language Understanding' accepted at NAACL 2021
- Paper 'Glean: Structured Extractions from Templatic Documents' accepted at VLDB 2021
- Paper 'Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning' accepted at ICLR 2021
- Served on Program Committee for Graph Neural Networks and Systems Workshop at MLSys 2021
- Invited panelist at Stanford AIMI's Language Models in Medicine AI Happy Hour (Feb 2022)
Research Experience
- PhD Candidate at Stanford University (since Autumn 2017) under Prof. John Pauly
- Collaborated closely with Prof. Akshay Chaudhari and Prof. Shreyas Vasanawala
- Worked with Prof. Christopher Ré on non-Euclidean machine learning projects
- Completed research internships at Google AI, Google Brain, Facebook (Meta) AI, and Microsoft Research, with ongoing collaborations
- Part-time researcher at Google Brain since September 2021, working on discrete sentence-level language modeling using VQ-VAEs
