Maitreya Patel
Ph.D. Student, School of Computing & AI, Arizona State University.
![profile_photo.jpg](/assets/img/profile_photo.jpg)
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
Jul 13, 2024 | Organizing the NeurIPS'24 workshop on Responsibly Building the Next Generation of Multimodal Foundational Models. Link |
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May 28, 2024 | 🎬 Started intern at Adobe as Research Intern for Summer 2024. |
Feb 26, 2024 | Two papers (ECLIPSE and WOUAF) accepted @ CVPR'24 . ![]() ![]() |
Feb 24, 2024 | Presented ConceptBed @ AAAI'24 . ![]() ![]() |
Feb 7, 2024 | We release λ-ECLIPSE, the resource-effecient Multi-Subject Text-to-Image Model. ![]() |
Selected Publications
- ECLIPSE:A Resource-Efficient Text-to-Image Prior for Image Generations
In CVPR – 2024
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