Sindy Löwe @sindy_loewe
PhD Student with @WellingMax at the University of Amsterdam. Deep Learning with Structured Representations. sindylowe.com Amsterdam, The Netherlands Joined January 2018-
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Today is the day! ✨ If you want to learn more about Rotating Features, make sure to join our oral presentation at 3:40pm in Ballroom A-C (level 2), or talk to us during the poster session starting from 5:15pm at poster #702. Looking forward to many engaging discussions!
Today is the day! ✨ If you want to learn more about Rotating Features, make sure to join our oral presentation at 3:40pm in Ballroom A-C (level 2), or talk to us during the poster session starting from 5:15pm at poster #702. Looking forward to many engaging discussions!
Feeling honored that @rpatrik96 took our paper as inspiration to think more about structured latent spaces. Make sure to check out his blog-post for an insightful take on the topic!
Feeling honored that @rpatrik96 took our paper as inspiration to think more about structured latent spaces. Make sure to check out his blog-post for an insightful take on the topic!
I have been thinking about the role of structured latent spaces since I first read the Rotating Features paper. Now, I wrote a blog post about it. rpatrik96.github.io/posts/2023/12/… FYI: Today at 15:40pm @sindy_loewe presents the paper at #NeurIPS2023, and the poster is at 17:15pm, #702
I have been thinking about the role of structured latent spaces since I first read the Rotating Features paper. Now, I wrote a blog post about it. rpatrik96.github.io/posts/2023/12/… FYI: Today at 15:40pm @sindy_loewe presents the paper at #NeurIPS2023, and the poster is at 17:15pm, #702
AMLab will be presenting 8 papers at NeurIPS 2023, including 2 oral presentations! Please see our blog for the full list. 📰: amlab.science.uva.nl/blog/2023/neur…
On Tuesday (15:40pm), @sindy_loewe will present our oral on Rotating Features for Object Discovery. Find us at the consecutive poster session (17:15pm, #702) to chat! x.com/sindy_loewe/st…
On Tuesday (15:40pm), @sindy_loewe will present our oral on Rotating Features for Object Discovery. Find us at the consecutive poster session (17:15pm, #702) to chat! x.com/sindy_loewe/st…
@rachelmetz hi rachel, ill be there too :-) the most exciting papers i found were: [1]@sindy_loewe's work on rotating features for object discovery, [2] tree of thought. both are oral, and blew my mind.
Excited to present “Contrastive Training of Complex-valued Autoencoders for Object Discovery“ at #NeurIPS2023. TL;DR -- We introduce architecture changes and a new contrastive training objective that greatly improve the state-of-the-art synchrony-based model. Explainer thread 👇:
Interesting idea! We also found that a feature's magnitude and orientation naturally learn different physical meanings, even though we did not place any regularization. This observation leads to an explicit decoupling in neurons (Decoupled networks, arxiv.org/abs/1804.08071).
Interesting idea! We also found that a feature's magnitude and orientation naturally learn different physical meanings, even though we did not place any regularization. This observation leads to an explicit decoupling in neurons (Decoupled networks, arxiv.org/abs/1804.08071).
encouraging img feature vectors to phase lock with other features of the same object (ie align rotation vectors) while other objects' feature vecs have different orientation i'm feeling very hopeful that doing similar things with harmonic coupling will also work
encouraging img feature vectors to phase lock with other features of the same object (ie align rotation vectors) while other objects' feature vecs have different orientation i'm feeling very hopeful that doing similar things with harmonic coupling will also work
Sindy strikes again with an oral at Neurips. The truly amazing thing for me was that if you train a VAE unsupervised with addional internal phase degrees of freedom it will automatically align phases within objects and segement them. 🫨
Sindy strikes again with an oral at Neurips. The truly amazing thing for me was that if you train a VAE unsupervised with addional internal phase degrees of freedom it will automatically align phases within objects and segement them. 🫨
This is an awesome paper, showing how the structure of the latent space matters for learning representations. Congrats @sindy_loewe, @phillip_lippe, @FrancescoLocat8, and Max Welling!
This is an awesome paper, showing how the structure of the latent space matters for learning representations. Congrats @sindy_loewe, @phillip_lippe, @FrancescoLocat8, and Max Welling!
Introducing Rotating Features, a great extension of our previous Complex Autoencoder. 🚀 Now applicable to real-world images and offers a competitive alternative to common #object-centric approaches like Slot Attention. #NeurIPS2023
Introducing Rotating Features, a great extension of our previous Complex Autoencoder. 🚀 Now applicable to real-world images and offers a competitive alternative to common #object-centric approaches like Slot Attention. #NeurIPS2023
Max Welling @wellingmax
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Marvin Schmitt @MarvinSchmittML
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After two good years at Microsoft Research AI4Science, I am very excited to announce that as of this month I have, together with Chad Edwards, co-founded a new startup in the field of molecular and materials discovery.
Hey! If you are using DINOv2, whether in a startup, in research or whatever, could you send me a DM? I want your feedback on the model. Reward for you? Simple: next model is gonna be 𝘦𝘷𝘦𝘯 𝘮𝘰𝘳𝘦 suited to your needs 👌
@jmtomczak @Data_AI_TUe Thank you Jakub!!! I am extremely happy to be in @Data_AI_TUe with you!🤩
Warmest congratulations on defending your PhD, @bob_smiley_! We are extremely happy to have you in @Data_AI_TUe 🤩
Congratulations to @bob_smiley_ on a great defense! Thanks to @RobinSFWalters , @jmtomczak, @pgroth , @egavves, and @erikjbekkers for serving on the committe. Also a special thanks to Clara de Paolis Kaluza for flying in the Boston to serve as paranimf for the proceedings.
Congratulations to @bob_smiley_ on a great defense! Thanks to @RobinSFWalters , @jmtomczak, @pgroth , @egavves, and @erikjbekkers for serving on the committe. Also a special thanks to Clara de Paolis Kaluza for flying in the Boston to serve as paranimf for the proceedings.
Doctor now 🤓
Congratulations Dr. @artemmoskalev 🥳
This city is not in Italy, France, or Germany. It's in China and it's less than ten years old. This is Huawei's R&D Headquarters, where 25,000 people work, and it might just be the most interesting office building(s) in the world...
Happy to have shared our recent work fit-a-nef.github.io at the ELLIS Winter School on Foundation Models @Ellis_Amsterdam some great discussions and excellent preparation for CVPR 🤓 #ELLIS
Wrap-up of day 2 at our @ELLISforEurope winter school on Foundation Models: our poster session with drinks and Dutch borrel! Seriously strong research here. Also check out our amazing t-shirts :)
Last Tuesday @maurice_weiler graduated from U. Amsterdam Cum Laude with his 500 page thesis "Equivariant and Coordinate Independent Convolutional Networks". Huge congratulations! Thanks to the stellar committee (also incl. @KyleCranmer, @gfbertone, @lipmanya, @DaniloJRezende)
We proudly present our 524 page book on equivariant convolutional networks. Coauthored by Patrick Forré, @erikverlinde and @wellingmax. maurice-weiler.gitlab.io/#cnn_book [1/N]
Do you want to train massive deep learning models with ease? Our 10 new tutorial notebooks of our popular UvA DL course show you how, implementing data, pipeline and tensor parallelism (and more) from scratch in JAX+Flax! 🚀🚀 Check them out here: uvadlc-notebooks.readthedocs.io/en/latest/tuto… 🧵 1/11
🔈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
🔈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.
This looks amazing: capturing carbon from seawater and generating hydrogen as a byproduct. Given the rate the climate is changing I am sometimes wondering why we are not pouring billions into these projects and put ITER / LHC on the backburner for a while. newatlas.com/energy/equatic…
🎉 Our paper "How to Train Neural Field Representations" (fit-a-nef.github.io) has been accepted at #CVPR2024! Grateful to the team @RValperga @davidmknigge @MiltosKofinas @phillip_lippe and supervisors @Efstratios and Jan-Jakob Sonke!🙌 (1/4)
New preprint! LLM-to-SLM: let the big LM "think" (1x forward) and the small LM write (Nx forwards). simply idea and also shows Encoder LM are still super useful.
🚀 Excited to share our latest work "Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding" now on arXiv! We're taking strides in making language models faster & more efficient on text generation tasks like translation & summarization.🔍 [arxiv.org/abs/2402.16844]
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