Ulugbek S. Kamilov

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Ulugbek S. Kamilov

Ulugbek S. Kamilov

@ukmlv

Associate Prof at UW-Madison. Ex WashU, ENS Paris, Google, MERL, Stanford, MIT, CMU, EPFL. Tennis player. Computational Imaging + AI/ML.

WashU Katılım Şubat 2014
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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
Friends, I have a major update! After 8 wonderful years at WashU ESE/CSE, my team and I will be moving to UW-Madison ECE. I’m excited to collaborate with amazing new colleagues at UW, and will truly miss WashU and St. Louis—places where I’ve built many great memories. 🦡❤️
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Yuyang Hu
Yuyang Hu@YuyangHu_666·
Excited to share that I successfully defended my PhD this Monday—officially Dr. Hu! I am deeply grateful to my advisor, collaborators, friends, and family for their support throughout this journey. In particular, I want to sincerely thank my phd advisor, @ukmlv, for his continuous guidance, support, and mentorship during my PhD. I joined his lab as a newcomer to research, and I have learned and grown so much under his mentorship. It also meant a lot to me that he drove five hours with @chicagoypark to attend my defense in person. I would also like to thank my dissertation committee — @2ptmvd, @an_hongyu , Prof. Joseph A. O’Sullivan, and Prof. Hong Hu — for their valuable guidance and support for my PhD research and dissertation. I am now continuing at Google AI Research as a Research Scientist, focusing on video/image generative models and computational imaging. Looking forward to what’s next.🚀
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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
Chicago (@chicagoypark) and I drove from Madison to St. Louis and back to be there in person—and I’m really glad we did. Yuyang gave an amazing talk, and we got to celebrate with the team. We also enjoyed the beautiful WashU campus at sunset. Very proud of Yuyang.
Computational Imaging Group (CIG)@uwcig

Congratulations to Dr. Yuyang Hu for successfully defending his PhD at WashU ESE. We are very impressed with all the research you have done over the past few years and wishing you even greater achievements in the years to come! 🎉

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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
Bukhara 🇺🇿 Kalyan Square. The city center. On the left is the Mir-i Arab madrasa, on the right is the Kalyan Mosque. In the middle stands the Kalyan Minaret.
Ulugbek S. Kamilov tweet media
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Dimitris Papailiopoulos
Dimitris Papailiopoulos@DimitrisPapail·
The Technical University of Crete. My undergrad campus. Overlooking the Cretan Sea where I figured out what I wanted to do with my life.
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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
One of my favorite plots in SGPnP that shows different solutions of the algorithm. We interpret these as different stationary points (hopefully, local minima) of the MAP loss associated with the learned score. As a reminder, SGPnP is not trying to sample, it is optimizing.
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Chicago Y. Park
Chicago Y. Park@chicagoypark·
Check out our latest work on bridging optimization and generative models for imaging, enabling optimization-based plug-and-play methods to handle highly ill-posed inverse problems such as large-box inpainting! uw-cig.github.io/sgpnp_page/
Ulugbek S. Kamilov@ukmlv

Excited to share our new work that bridges optimization and generative models for imaging. Our SGPnP is not a sampler (generative model), it is an optimization method (plug-and-play method) that can compete with samplers on inverse problems. Amazing work by @chicagoypark!

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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
@docmilanfar Nice explanation of "naranja" in Spanish. Remarkably, in Uzbek, we use "apelsin", which I believe was taken from Russian, which in turn seems to have some germanic roots.
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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
Excited to share our new work that bridges optimization and generative models for imaging. Our SGPnP is not a sampler (generative model), it is an optimization method (plug-and-play method) that can compete with samplers on inverse problems. Amazing work by @chicagoypark!
Computational Imaging Group (CIG)@uwcig

We introduce SGPnP, an optimization-based framework for highly ill-posed inverse problems. By injecting controlled noise into denoisers, SGPnP smooths the objective landscape, avoids strict saddles, and improves convergence—without diffusion sampling. > uw-cig.github.io/sgpnp_page

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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
I recently have a talk to the guest of honor academic series of Central Asian International Science and Tech association. I spoke about the region in the context of AI, my own path, my research, and shared some tips. > recording of the talk: youtu.be/fGuLlFGI2D8?si…
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YouTube
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Ulugbek S. Kamilov
Ulugbek S. Kamilov@ukmlv·
A renowned prof calls a plumber. The plumber arrives, works for 5 mins, and gives a bill for $300. The prof is outraged: - Listen, I’m a top professor, and even I don’t earn that much for 5 minutes of work! The plumber shrugs: - I understand. I didn’t either—when I was a prof.
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Volkan Cevher
Volkan Cevher@CevherLIONS·
Honored to share that I’ve been promoted to Full Professor of Electrical Engineering and Electronics at EPFL, as announced by the ETH Council. ethrat.ch/en/appointment…
Volkan Cevher tweet media
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Computational Imaging Group (CIG)
Congratulations to Anqi Li who will join the Rice ECE PhD program. Anqi worked with us as an MS researcher, while completing his MS in CS at WashU. Excited to see what he will do next.
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Peyman Milanfar
Peyman Milanfar@docmilanfar·
@dr_chizhang can you calculate the probability of getting 10/15 papers accepted in a conference that has a 25% acceptance rate? it’s 0.068%
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Chi Zhang
Chi Zhang@dr_chizhang·
10 CVPR papers + 2 Findings! 🚀 Incredible to see that 8 of these came from our undergrads. Beginner's luck (or just pure talent!). Big congrats to the team! #cvpr #cvpr2026 #ArtificialIntelligence
Chi Zhang tweet media
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