computer scientist, professor, researcher in computer vision (teaching machines to see), philosopher and ex-basketball player, scuba diver, human being!
We finally did it with 5/5 papers accepted at #ICLR2026 🦾🇧🇷
Thanks to my @OmnAI_Lab group and my collaborators for this amazing accomplishment!
See you in Rio!
- Implicit Inversion turns CLIP into a Decoder w/ @GladiaLab
- MASS: MoErging through Adaptive Subspace Selection w/ @GladiaLab@RSTLessGroup
Thanks to all our collaborators. See you in 🇧🇷
We are grateful to all of the 17,491 reviewers who helped make #CVPR2026 possible. We are especially pleased to recognize the following Outstanding Reviewers, whose high-quality reviews (as judged by their Area Chairs) placed them among the top 5% of reviewers.
Everything is ready for MUV @CVPR 2026! 🧠❌
Join us in Denver on June 3 for the Machine Unlearning for Vision Workshop.
📍 Room 1AB
🕒 Afternoon session
Program, speakers, and details:
https://t.co/QEZkX9tNnj
#CVPR2026#MachineUnlearning#ComputerVision#AI
How did #ECCV reviews treat you? 😬 If you're not that happy — and you work on #unlearning, #modelediting, #modelmerging, or #interpretability — consider submitting to the 3rd Workshop and Challenge on Unlearning and Model Editing at @eccvconf
We accept both full papers and extended abstracts, so there's a format for every contribution.
📅 Submission deadline: 9 July 2026 (AoE)
🔗https://t.co/4qcJ9llb8W
📢CPF: U&ME Workshop @ ECCV 2026 @eccvconf
We invite submissions on machine unlearning, model editing, and related topics including efficient adaptation, and responsible AI.
Details at: https://t.co/yZLfbq5IwJ
@_iAc#ECCV#ECCV2026#Unlearning#AIsafety#ResponsibleAI
🧠 Excited to announce 𝕌&𝕄𝔼 𝟚𝟘𝟚𝟞— 𝘁𝗵𝗲 𝟯𝗿𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 & 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗼𝗻 𝗨𝗻𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗠𝗼𝗱𝗲𝗹 𝗘𝗱𝗶𝘁𝗶𝗻𝗴 @eccvconf
Organized with @Hussain68018934@THassner@thakralkartik78@BrigliaRosaria@MayankVatsa3@dgolano@sijialiu17
📅 September 8–9, 2026 📍 Malmö, Sweden
How do we fix, update & align large generative models — without retraining from scratch?
🎤 Confirmed Speakers:
Yezhou Yang — Arizona State University
Fabio Galasso — Sapienza University of Rome
William Shen — University of Cambridge
More speakers coming soon!
Stay tuned for submission details 👇
https://t.co/CvWx58XHSA
#ECCV2026 #MachineLearning #ModelEditing #MachineUnlearning #GenerativeAI #DeepLearning
EUROCRYPT 2026 is underway in Rome!
Yesterday we officially opened the conference at the Auditorium Parco della Musica Ennio Morricone, the beautiful Renzo Piano-designed venue hosting the cryptography community this week.
#EUROCRYPT2026#Cryptography
What will the role of researchers be in 5 years?
What happens to narrow scientific foundation models?
Can we really scale our way to genius creativity?
We will attempt to answer these questions (and more) on Sunday in the post-agi workshop at @iclr_conf
We are at #ICLR2026 🇧🇷 presenting 5 papers spread across the main conference, 23-24-25 April. Stop by if you are interested in trustworthy and safe AI, generative models, robustness, and model inversion
with @Hussain68018934@BrigliaRosaria@adrianrminut Dario, and Hazem
Excited to share that "Energy-Based Transformers are Scalable Learners and Thinkers" was accepted to #ICLR2026 as an oral! 🎉
I'll be giving the oral this Friday in Brazil, so come watch if you're around :)
Sad to miss #ICLR2026 this year, but our work will be there with Simone and Stefano.
We propose the first training-free framework for permanently removing concepts from generative video models.
📅 Fri, Apr 24 • 11:15 AM – 1:45 PM
📍 Pavilion 4 P4-#4305
Bye bye DiCaprio!
It just takes a single gradient step on the input using an #EBM loss to boost the #robustness of robust LVLMs like CLIP/LLaVa. We also prove that the accuracy improves if the gradient norm of the gt class is the highest. thanks Odelia!
Part 1/3
Excited to share that our paper “A Provable Energy-Guided Test-Time Defense: Boosting Adversarial Robustness of Large Vision-Language Models” has been accepted at CVPR 2026 (Main Conference) 🎉
Some "fixed" samples are very tricky, like VLM switches from Red Sox (incorrect) to Reds (correct), while, for example, @Hussain68018934 did not know the difference between the two, and we initially thought it was a mistake.