Maitreya Patel
Ph.D. Student, School of Computing & AI, Arizona State University.
I am a Ph.D. student at Arizona State University (ASU). I am working alongside Yezhou Yang and Chitta Baral. I closely collaborate with Tejas Gokhale and Changhoon Kim.
My focus lies in the domain of Robust and Reliability
for Vision-Language. Currently, I specialize in computer vision, specifically generative and diffusion models, concept algebra, model attribution, and few-shot learning. I firmly believe that advancing Counterfactual/Causal Reasoning
is essential for enhancing the reliability of machine learning systems in the long run.
Aside from academics, I enjoy working on intriguing open-source projects. Recently, I have dedicated my free time to developing reliability-checklist (v0.1.0 released) and AInos (under review for product market fit).
News
Feb 26, 2024 | Two papers (ECLIPSE and WOUAF) accepted @ CVPR'24 . |
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Feb 24, 2024 | Presented ConceptBed @ AAAI'24 . |
Feb 7, 2024 | We release λ-ECLIPSE, the resource-effecient Multi-Subject Text-to-Image Model. |
Jan 26, 2024 | Organizing semester long seminar series on Frontier Topics in GenAI Seminar. |
Jan 8, 2024 | Invited talk at RGMV tutorial @ WACV’24: Towards Robust Text-to-Image Generative Models in Resource-Efficient Manner; Recording is available here. |
Selected Publications
- ECLIPSE:A Resource-Efficient Text-to-Image Prior for Image Generations
In CVPR – 2024
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