Efstratios Gavves @egavves
Associate Professor & Co-Founder - Temporal Learning & Neural Dynamics egavves.com Amsterdam, The Netherlands Joined September 2011-
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Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (@saramagliacane), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!! 🧵1/4
Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (@saramagliacane), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!! 🧵1/4 https://t.co/6mRDk7dho1
📢 We are excited to introduce Thomas Kipf (@tkipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop. corrworkshop.github.io 🧵 1/5
Excited to share what I’ve been working on for the past 9 months. So incredibly proud of the entire team that worked tirelessly to make Llama 3 happen! And this is only the beginning… ai.meta.com/blog/meta-llam…
Want to get up to speed with efficient transformer alternatives like SSMs, CKConv, Mamba & Hyena?✨Join us this Thursday at 09:00 CET for a @deepthinkhour tutorial 🔍on modern subquadratic long-context architectures by @davidwromero! 👇 🌐Also online, and will be recorded!
When will AI break the 'Science' barrier and placed #3rd in overall impact? It's coming home :D
🔍How can we design neural networks that take neural network parameters as input? 🧪Our #ICLR2024 oral on "Graph Neural Networks for Learning Equivariant Representations of Neural Networks" answers this question! 📜: arxiv.org/abs/2403.12143 💻: github.com/mkofinas/neura… 🧵 [1/9]
😃 Shoutout to my wonderful collaborators @BorisAKnyazev, @Cyanogenoid, @yunluchen111, @gjburghouts, @egavves, @cgmsnoek, and @davwzha! [9/9]
📢📢Excited to announce the 1st Causal &Object-Centric Representations for Robotics Full-day Workshop at @CVPRCall Abstracts deadline 4/28 W. amazing @FrancescoLocat8 @RoozbehMottaghi @ZadaianchukML @phillip_lippe @priyam8parashar @PatkiSiddharth R.Desai corrworkshop.github.io/submit.html
🔈The @UvA_Amsterdam and @ELLISforEurope are hosting a tutorial on "Training Models at Scale 🔥" in Ams on March 11th at 17:00 CET (streaming will be posted on thedeepthinkinghour.github.io). Come with us to explore strategies to train massive models with @phillip_lippe.
Along with our new tutorials (uvadlc-notebooks.readthedocs.io/en/latest/tuto…), we organize a lecture on the topic! Feel free to join, also if you’re new to JAX
Along with our new tutorials (uvadlc-notebooks.readthedocs.io/en/latest/tuto…), we organize a lecture on the topic! Feel free to join, also if you’re new to JAX
While most research focuses on manually deriving equivariances in data, could we even learn then poorly in a data-driven way? Our latest publication with @gabel_alex and Rick Quax in the Journal of machine Learning and Technology answers positively.
While most research focuses on manually deriving equivariances in data, could we even learn then poorly in a data-driven way? Our latest publication with @gabel_alex and Rick Quax in the Journal of machine Learning and Technology answers positively.
Really happy with our accepted CVPR for accelerating Neural Fields up to x1000, showing via ablations meaningful hyperparameter choices to get Neural Fields work as representations.
Really happy with our accepted CVPR for accelerating Neural Fields up to x1000, showing via ablations meaningful hyperparameter choices to get Neural Fields work as representations.
The Vision and Sports summer school in Prague is back and a lot of fun. No, it's not about vision in the sports domain; it's about students and teachers playing sports together after the lectures!
The Vision and Sports summer school in Prague is back and a lot of fun. No, it's not about vision in the sports domain; it's about students and teachers playing sports together after the lectures!
Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
🎉 Super stoked that our work on "Graph Neural Networks for Learning Equivariant Representations of Neural Networks" was accepted as an oral in #ICLR2024! Paper details and source code will follow soon.
Come check out Miltos' work on discovering latent fields from observed dynamical systems! Absolutely amazing mix of GDL + neural fields :D
Come check out Miltos' work on discovering latent fields from observed dynamical systems! Absolutely amazing mix of GDL + neural fields :D
Today at #NeurIPS2023 I will be presenting our work on "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". Join us at poster session 3 on Wednesday morning, poster #619. Paper: arxiv.org/abs/2310.20679 Source code: github.com/mkofinas/aether [1/8] 🧵
Excited to present several works @NeurIPSConf with amazing collaborators: - Modulated ODEs (arxiv.org/abs/2302.13262) on Wed at 10:45 @AmandaIlze @CagatayDemiralp @egavves @MatthiasBethge - DAFT-RL (arxiv.org/abs/2307.09205) on Wed at 5pm @ffeng01 - 4 posters at @crl_neurips2023
In the era of ChatGPT and Stable Diffusion the AI will soon become one and unified community instead of splintered to separate disciplineslike vision, NLP, ML and so on. Please join us in the exciting first cross-discipline Symposium on Large Foundation Models!
In the era of ChatGPT and Stable Diffusion the AI will soon become one and unified community instead of splintered to separate disciplineslike vision, NLP, ML and so on. Please join us in the exciting first cross-discipline Symposium on Large Foundation Models!
Kosta Derpanis @CSProfKGD
48K Followers 198 Following #CS Associate Prof @YorkUniversity, #ComputerVision Scientist Samsung #AI, @VectorInst Faculty Affiliate, TPAMI AE, #CVPR2024/#ECCV2024 Publicity Co-chairSindy Löwe @sindy_loewe
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Excited to return to @LeapStc next week before heading to @aistats_conf in Valencia 🌴☀️! I'll be talking about our recent #ICLR work on improving sampling in diffusion models, as well as precipitation 🌧️ super-resolution for #climate modeling!
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I am filled with a sense of wonder and admiration when I think about this incredible computer engineering accomplishment of NASA. It is still one of the most fulfilling places to work and my answer when people ask me what I would do if I were not in academia. I experience this…
Amazing that a chip bricked in 46-yr-old Voyager I, preventing it from sending data, and NASA figured out how to split up and reallocate its functions to other hardware, sending code 15 billion miles away (45 hours round trip!)--and Voyager's back online. blogs.nasa.gov/voyager/2024/0…
Fourth Amsterdam Causality Meeting amscausality.github.io 🎉 Two fantastic talks: - @hpeterssengers (@amsterdamumc) ICU-acquired complications - @richardajpost (@TUeindhoven): Flexible Machine Learning Estimation of Conditional Average Treatment Effects: A Blessing and a Curse
Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (@saramagliacane), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!! 🧵1/4
📢 We are excited to introduce Thomas Kipf (@tkipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop. corrworkshop.github.io 🧵 1/5
1000+ citations 🍾 AMAZING collaboration with AMAZING people! ❤️ @geopavlakos @XiaoweiZhou5 @KostasPenn
📢 We are excited to introduce Thomas Kipf (@tkipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop. corrworkshop.github.io 🧵 1/5
P.S. Thanks for all the co-organizers @FrancescoLocat8 @egavves @RoozbehMottaghi Ruta Desei @priyam8parashar Siddharth Patki and @phillip_lippe for their work!
As a reminder, there are still almost 10 days left to submit for the CORR CVPR workshop, so don’t miss a chance to submit your - 1-page abstract of an already published work (e.g. CVPR one or previosly published) - a novel 4-pages paper: openreview.net/group?id=thecv… 🧵5/5
🔔Can VLMs spatially refer objects in Ego? Can VLMs understand interactions? Which hand is holding an object and what's the object in the left hand? We show current VLMs struggle in interactions and release new data & models for HOI-Ref in Ego sid2697.github.io/hoi-ref/ On ArXiv🧵
THRILLED to share that I've joined @ELLISforEurope as a member 🇬🇷🇪🇺
Excited to share what I’ve been working on for the past 9 months. So incredibly proud of the entire team that worked tirelessly to make Llama 3 happen! And this is only the beginning… ai.meta.com/blog/meta-llam…
It is easy to think “LLMs can’t possibly learn X from just text”. But I think this is a very human view. We have limited ability to really understand scale. I can imagine reading a book a week. If I do that for my whole life, I’ll read fewer than 5000 books. What does it mean for…
Reminder: DL 30 April to apply for these PhD positions in the group. Open to internationals, a chance to shape the future of egocentric vision at a critical time in the field's progress... @BristolUni
2 PhDs in my group @BristolUni on "4D Egocentric Video Understanding" - apply b4 30 April 2024 to be considered, flexible start date. Open to internationals. Solid mathematical and programming skills is a must. Prior knowledge in ego, audio &3D desirable. findaphd.com/phds/project/m…
This was an outstanding and inspiring lecture by @davidwromero ! If you want to get up to speed with SSMs / long-conv models (CKConv, Hyena, Mamba, etc) —which beat transformers, please watch back the recordings! My take-home as usual is: convolution is all you need! 🙃
I am very happy to give this tutorial next week! We will discuss several developments on sub-quadratic long-context architectures such as SSMs, CKConv, Hyena and Mamba. Thank you @Ellis_Amsterdam for having me!
I've had private beta access to Udio and it's wild. Really good music generation, significantly better than the alternatives. Keep an eye in them.
I had an inspiring visit to @Covision_Media in Brixen, which is in the beautiful Dolomites. Their 3D scanners produce high quality meshes ready for realistic rendering. A really nice team and a wonderful town.
Want to get up to speed with efficient transformer alternatives like SSMs, CKConv, Mamba & Hyena?✨Join us this Thursday at 09:00 CET for a @deepthinkhour tutorial 🔍on modern subquadratic long-context architectures by @davidwromero! 👇 🌐Also online, and will be recorded!
We've released v2.0.0 of our deep learning-based MRI framework; many new models and an extended model zoo!
🎉𝐃𝐈𝐑𝐄𝐂𝐓 𝐯2.0.0 𝐢𝐬 𝐨𝐮𝐭! New features for #DL-based #MRI #Reconstruction including models like RecurrentVarNet & vSHARPNet, MRI transforms and losses, along with code quality upgrades and 3D data support! 🔮 Up Next: #CMRxRecon 2023, #SSL, adaptive sampling & more!
Best paper! Congrats to the authors @ignavierng @huang_biwei @kunkzhang !!!