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 Representation Learning
is essential for enhancing the compositionality and reliability of machine learning systems in the long run.
I always look for self-motivated students who want to focus on either fundamental problems or responsibility aspects of Generative AI. If you have prior experience in related fields, feel free to reach out to me if you are interested.
News
Nov 29, 2024 | 🚀 🚀 Releasing FlowChef, Steering Rectified Flow Models in the Vector Field for Controlled Image Generation , for trianing-, inversion-, and gradient-free controlled image generations. |
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Oct 31, 2024 | λ-ECLIPSE, the resource-effecient Multi-Subject Text-to-Image Model accepted at TMLR . |
Sep 20, 2024 | One paper (lead author) accepted at NeurIPS (main conference). |
Sep 20, 2024 | One paper accepted at EMNLP (findings). |
Jul 13, 2024 | Organizing the NeurIPS'24 workshop on Responsibly Building the Next Generation of Multimodal Foundational Models. Link |
Selected Publications
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- ECLIPSE:A Resource-Efficient Text-to-Image Prior for Image Generations
In CVPR – 2024
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