
Ulugbek S. Kamilov
@ukmlv
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Donald L. Snyder Associate Prof of EE/CS at WashU. Ex ENS Paris, Google, MERL, Stanford, MIT, CMU, EPFL. Tennis player. I don’t eat animals. Ўзбекча гапираман.
WashU
Joined February 2014
Some photos from my inauguration into Donald L. Snyder Career Development Professorship at @WashUengineers. I would like to thank everyone who attended, the ESE Chair @bruno_sinopoli, the Dean of McKelvey @abobick, and the Snyder family.
As part of today’s ESE Day celebration, we honor the legacy of Donald L. Snyder and install Ulugbek Kamilov as the inaugural Snyder Career Development Professor. Learn more. @WashUESE.
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Morality loses its integrity when it becomes tied to identity (race, religion, or any other group). If it only works for “your own,” it’s no longer morality, it’s a tool for justification. #Reflections.
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RT @IEEEimaging: Call for the nomination of new IEEE CI TC members is open for Term 2026-2028. Please nominate candidates who will add valu….
signalprocessingsociety.org
On behalf of the IEEE CI TC Nominations and Elections Subcommittee, I would like to call for the nomination of new TC members to serve a 3-year term from January 1, 2026 to December 31, 2028.
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Very excited with the acceptance of this paper! Excellent work done by @FloraSun9101 and others.
🚨 New paper accepted in EJNMMI Research! We present a robust PET/CT quantification pipeline for tracking multiple myeloma progression in mice. 🧠 + 📊 + 🐭 = better preclinical insights. Read more:
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RT @albert_peng_: Excited to be in Vancouver🇨🇦 for ICML! I’m open to chats and look forward to connecting with everyone there!. #ICML #ICML….
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RT @YuyangHu_666: Headed to ICML in Vancouver (July 12-17)! 🇨🇦. Catch me and @albert_peng_ on Tuesday, July 15, from 4:30 PM - 7:00 PM as w….
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👏🏼.
“Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models” has been accepted to IEEE Signal Processing Magazine (2025) @IEEEspm!. Check out our concise theoretical justification for score-based diffusion models—and much more—here:
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RT @washucig: New paper "Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration." This paper is part of @Yu….
arxiv.org
Diffusion models show promise for image restoration, but existing methods often struggle with inconsistent fidelity and undesirable artifacts. To address this, we introduce Kernel Density Steering...
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Honored to be part of this work done by Yuyang Hu (@YuyangHu_666) at @GoogleAI in collaboration with Mauricio Delbracio (@2ptmvd), Peyman Milanfar (@docmilanfar), Kangfu Mei (@KangfuM), and Mojtaba Sahraee-Ardakan.
Excited to announce my work during @GoogleAI internship is now on arXiv! . Grateful for my incredible hosts and collaborators: @2ptmvd, @docmilanfar, @KangfuM, Mojtaba Sahraee-Ardakan and @ukmlv. Please check out the paper here: [.
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Excellent paper led by Chicago Park (@chicagoypark) as part of our collaboration with the Los Alamos National Lab scientists Brendt Wohlberg, Mike McCann, and Cristina Garcia-Cardona. He is currently back at LANL for more exciting research.
"Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models" was accepted to IEEE Signals Processing Magazine (@IEEEspm). It presents a self-contained discussion of score-based diffusion models focused at the signal processing community. 🔗
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RT @chicagoypark: “Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models” has been accepted to IEEE Signal Processing M….
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RT @YuyangHu_666: Excited to announce my work during @GoogleAI internship is now on arXiv! . Grateful for my incredible hosts and collabor….
arxiv.org
Diffusion models show promise for image restoration, but existing methods often struggle with inconsistent fidelity and undesirable artifacts. To address this, we introduce Kernel Density Steering...
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RT @docmilanfar: For better consistency and fewer artifacts in im2im diffusion models, consider Kernel Density Steering (KDS): It is infere….
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First paper from our collaboration with Prof. Monica Shokeen. Let me highlight the excellent work by the PhD student Flora Sun.
New paper: "Advanced Quantification Pipeline Reveals New Spatial and Temporal Tumor Characteristics in Preclinical Multiple Myeloma." We developed a semi-automated PET/CT pipeline that enables automatic tracking of multiple myeloma progression in mice. 🔗
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