Antonio Ortega

@docmilanfar @theNAEng Congratulations !

I’m honored to announce my election to the National Academy of Engineering For a refugee kid who arrived in the US >40 years ago, this is hard to put into words - truly the honor of a lifetime. Deeply grateful to the @theNAEng, my colleagues, students, mentors, & esp my family

📣 #ICIP2026 invites proposals for Satellite Workshops on focused or emerging topics in image processing, vision and imaging, not specifically covered in the main conference. 📅 Submissions due 21 January 2026 🔗 Learn more: hubs.la/Q03VQ4000

The Computer Science section of @arxiv is now requiring prior peer review for Literature Surveys and Position Papers. Details in a new blog post

Michael Jordan gave a short, excellent, and provocative talk recently in Paris - here's a few key ideas - It's all just machine learning (ML) - the AI moniker is hype - The late Dave Rumelhart should've received a Nobel prize for his early ideas on making backprop work 1/n

The tech industry in Silicon Valley runs on the considerable talents and work ethic of folks who were not born here. Many of these folks were also trained in this country in our Universities. This is our strength. If we mess with this virtuous cycle, it is at our own peril.

Once-beloved topic: efficient signal, image, graph transformations like Discrete Cosine or Sine Transforms (DCT/DST), for data analysis, sparsity, compression. Antonio Ortega DCTs, DSTs and transforms on path graphs: History and recent results @elpenta doi.org/10.52843/cassy…

As someone who has reported on AI for 7 years and covered China tech as well, I think the biggest lesson to be drawn from DeepSeek is the huge cracks it illustrates with the current dominant paradigm of AI development. A long thread. 1/

🚨 The 8th annual Graph Signal Processing Workshop is back this May 14-16! Held in Montreal, CA, at @Mila_Quebec, we’re covering all things graphs, signals, learning, & applications 🕸️〰️ 🔗: gspworkshop.org 👉🏻Abstract submission opens Feb 1 👉🏻 Registration opens Mar 20

Interview (in Spanish) with @manuelansede @el_pais about NeuroTech, Neurorights and #spainneurotech. elpais.com/ciencia/2025-0… via @el_pais

The Delaunay triangulation is the dual of the Voronoi diagram. The most fundamental tool of computational geometry. en.wikipedia.org/wiki/Delaunay_… en.wikipedia.org/wiki/Voronoi_d… en.wikipedia.org/wiki/Computati…

I'm pleased to share that our recent paper with @2ptmvd has been accepted to the Philoshophical Transactions of the Royal Society. Here's the ‘Accepted Author Version’: drive.google.com/file/d/1jdtrkF… And here it is on arxiv without the fancy formatting: arxiv.org/abs/2409.06219 1/3

Congratulations to @USCViterbi researchers Urbashi Mitra, Bistra Dilkina (@BDilkina), and Gisele Ragusa! They'll provide expertise on AI/machine learning, data analytics, and algorithm design for the new @NSF Center for Pandemic Insights. viterbischool.usc.edu/news/2024/09/u…

Tutorial on Diffusion Models for Imaging and Vision 2nd edition is up on arXiv arxiv.org/abs/2403.18103 (51 pages --> 89 pages) - Expanded VAE - More detailed DDPM - New section: physics of diffusion - and more Feedback is welcome!

We are pleased to announce plans for a special issue of Signal Processing Magazine focused on the mathematics of deep learning: signalprocessingsociety.org/blog/ieee-spm-… We look forward to your submissions!

@inakib I really liked Los Detectives Salvajes, and would also recommend 2666

Books I’m reading or listening to this summer

グラフ信号処理のためのデータセット GSP-Traffic Dataset を公開しました！　みなさんぜひ使ってみてください。 - 実際の道路ネットワーク - SUMOによる（時変）グラフ信号 - 世界中の465都市でのシミュレーション フィードバックもお待ちしています！ github.com/rukumagai/GSP-…

Oldies but goldies: I Daubechies, Orthonormal bases of compactly supported wavelets, 1988. Defines orthogonal wavelet bases which generalize the Haar basis. The construction is a mathematical gem that uses the Bezout theorem. fr.wikipedia.org/wiki/Ingrid_Da…

@stanley_h_chan Congrats! Well deserved!

Happy to announce that I am promoted to full professor. Big shout out to my former and current students without whom this would never be possible. purdue.edu/newsroom/purdu…

It’s been >20 years since I published my first work on multi-frame super-res (SR) w/ Nhat Nguyen and the late great Gene Golub. Here’s my personal story of SR as I’ve experienced it from theory, to practical algorithms, to deployment in product. In a way it’s been my life’s work

I wrote a tutorial on diffusion models for undergrad and grad students. I tried my best to give intuitive explanations for complicated equations. Your feedback is much appreciated Thanks to those who suggested various reading materials to me arxiv.org/abs/2403.18103