Sotabase

Career

· PhD Student, Stanford University2023–
· BA in Computer Science and Applied Math, University of California, Berkeley
· MS in Computer Science, University of California, Berkeley

Publications (12)

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Computer Vision and Pattern Recognition · 2022
120
cited
Language Reward Modulation for Pretraining Reinforcement Learning
arXiv.org · 2023
39
cited
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning
Conference on Robot Learning · 2024
29
cited
Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices
International Conference on Human Factors in Computing Systems · 2022
27
cited
Language-Conditioned Path Planning
Conference on Robot Learning · 2023
15
cited
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
Conference on Robot Learning · 2022
11
cited
Latent Diffusion Planning for Imitation Learning
International Conference on Machine Learning · 2025
8
cited
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
arXiv.org · 2022
5
cited
Data Retrieval with Importance Weights for Few-Shot Imitation Learning
arXiv.org · 2025
2
cited
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Amber Xie | Researcher Profile | Sotabase | Sotabase