Emiel Hoogeboom @emiel_hoogeboom
Research Scientist at Google Brain. Formerly PhD student with @wellingmax at the Univ. of Amsterdam, Research intern at Qualcomm AI Research and Google Brain. ehoogeboom.github.io Joined May 2019-
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Google presents Multistep Consistency Models Diffusion models are relatively easy to train but require many steps to generate samples. Consistency models are far more difficult to train, but generate samples in a single step. In this paper we propose Multistep Consistency…
If you want to learn what’s involved to scale deep learning models to large param counts, Phillips’s tutorial is amazing.
If you want to learn what’s involved to scale deep learning models to large param counts, Phillips’s tutorial is amazing.
New blog post! Some thoughts about diffusion distillation. Actually, quite a lot of thoughts 🤭 Please share your thoughts as well! sander.ai/2024/02/28/par…
The trilogy is complete! My "Advanced Topics" book is officially released today. Buy it on Amazon, or get it for free at probml.github.io/pml-book/book2….
I am extremely excited to announce an opening (Ph.D. candidate) in my group at @TUeindhoven: generativeai-tue.github.io Please apply here: jobs.tue.nl/en/vacancy/phd… Join us in the fantastic journey of developing #GenerativeAI!
Slot attention + diffusion gives high quality 3D scenes, that can be edited.
Slot attention + diffusion gives high quality 3D scenes, that can be edited.
New paper on high-resolution image compression with diffusion models, achieving SoTA results in terms of FID: arxiv.org/abs/2305.18231
Can we efficiently learn one model that generates and classifies (i.e., a joint model)? Yes, we can! In our recent paper, we proposed a new joint model that combines a diffusion model with a classifier by sharing the UNet architecture. Link : arxiv.org/abs/2301.13622 [1/5]
Really valuable analysis on noise schedules in diffusion models, going further than we did. Combined with the RIN architecture very efficient. Worth a read
Really valuable analysis on noise schedules in diffusion models, going further than we did. Combined with the RIN architecture very efficient. Worth a read
Sindy Löwe @sindy_loewe
3K Followers 361 Following PhD Student with @WellingMax at the University of Amsterdam. Deep Learning with Structured Representations.
Taco Cohen @TacoCohen
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Kevin Patrick Murphy @sirbayes
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Max Welling @wellingmax
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Sander Dieleman @sedielem
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Michael Bronstein @mmbronstein
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Jim Fan @DrJimFan
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Kevin K. Yang 楊凱�.. @KevinKaichuang
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Miles Cranmer @MilesCranmer
12K Followers 902 Following Assistant Prof @Cambridge_Uni, works on AI for the physical sciences. Previously: Flatiron, DeepMind, Princeton, McGill.
Durk Kingma @dpkingma
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Symmetry and Geometry.. @neur_reps
3K Followers 1K Following NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! https://t.co/Run9wPnZt9
David M. Knigge @davidmknigge
521 Followers 201 Following PhD candidate w/ @egavves at @uva_amsterdam medical and geometric deep learning. @ic4ai POP-AART Lab w/ @elekta & @NKI_nl.
Learning on Graphs Co.. @LogConference
7K Followers 750 Following LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
yobibyte @y0b1byte
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Sharvaree Vadgama @SharvVadgama
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Erik Bekkers @erikjbekkers
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Elise van der Pol @ElisevanderPol
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Gabriele Corso @GabriCorso
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Gram Workshop @GRaM_workshop
4 Followers 138 Following Hi, I am the official account for the first edition of GRaM: Geometry-grounded Representation learning and generative Modeling Workshop at ICML2024
Todian 🇺🇦 @TodianMishtaku
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Deeptej More @Deepu_learning
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101 Followers 509 Following PhD student @ Linköping University, working on AI with integrating natural language with acting and planning
Melih Gokay Yigit @mgyigit
28 Followers 130 Following
Fredi Mino @Computing_Brain
43 Followers 571 Following Neural Engineering Researcher at the Utah NeuroRobotics Lab (@Jacob_A_George). I work with neural interfaces to improve prosthetic limb control 🧠💻🦾
Matteo Nulli @matteo_nulli
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Chenda Bunkasem 💎 @chendabunkasem
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17 Followers 249 Following
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Ethan Reid @EthanReidMorro
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mlecchaslayer156 @mlecchasla37448
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Do Thanh Tung @itsthanhtung87
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Gautam Singh @gautamsi11
143 Followers 617 Following PhD Student @RutgersCS advised by @SungjinAhn_ | Research Intern at NVIDIA. Unsupervised Structure Learning. Past: Amazon, IBM Research, IIT Guwahati.
Janhavee Shinde @SJanhavee
52 Followers 2K Following
Antonios Tragoudaras @TonyTragoudaras
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BMR LLC @bmrllcinthe206
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Arthur @ArthurBrussee
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Sourjya Sarkar @SarkarSourjya
38 Followers 955 Following Loves traveling, music, photography, friends, research and fun !! A bit of a machine learning enthusiast!
Andrew white @Andreww95636515
131 Followers 3K Following 3d modeling. Gaussian splatting, NeRF, Diffusion models, GANs.
JJ @yololulu_
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Nicholas Boffi @nmboffi
564 Followers 750 Following Incoming Assistant Professor at CMU. Courant Instructor @NYU_Courant. Previously @Harvard, @MIT, @NorthwesternU, @GoogleAI.
Luca Barsellotti @BarsellottiLuca
6 Followers 115 Following PhD Student at AImageLab, University of Modena and Reggio Emilia
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10 Followers 132 Following Master student @Tsinghua_Uni, working on Deep Reinforcement Learning.
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149 Followers 126 Following
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Allen Roski @allenroski
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Ahmad Beirami @abeirami
4K Followers 2K Following Building safe, helpful, and scalable generative AI @Google | ex-{@AIatMeta, @EA, @MIT, @Harvard, @DukeU} | @GeorgiaTech PhD | زن زندگی آزادی | opinions my own
Tung @Tung11199951
42 Followers 363 Following AI Residency Research @ VinAI Research on Computer Vision.
Andy Alph @AndyTheGuttler
141 Followers 200 Following MS Artificial Intelligence @ UvA | SSBU Olimar enthousiast | Psychonaut | 24 | You are your own best teacher
Yee Whye Teh @yeewhye
24K Followers 1K Following Find me @[email protected] Professor at @OxCSML, @oxfordstats and Research Director at @GoogleDeepMind. All opinions are my own.
Chuong Dao @riochuong105
81 Followers 3K Following AI/Robotics enthusiasts. learning to make robots part of our life
Onno Kampman @KampmanOnno
174 Followers 1K Following Mental health care transformation at MOHT Singapore | Cognitive neuroscientist at the University of Cambridge | ML & NLP in Singapore
yw @yanbowa46336541
8 Followers 63 Following
Arvid Frydenlund @ArvidFrydenlund
44 Followers 317 Following Ph.D. student in Machine Learning at University of Toronto
Kamila Zdybał @kamilazdybal
792 Followers 2K Following Postdoctoral researcher @Empa_CH 🇨🇭 PhD from @ULBruxelles, @UUtah & @frsFNRS Data-driven modeling & machine learning for fluid dynamics
woruo chen @WoruoC23258
1 Followers 22 Following
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2 Followers 622 Following
Sindy Löwe @sindy_loewe
3K Followers 361 Following PhD Student with @WellingMax at the University of Amsterdam. Deep Learning with Structured Representations.
Taco Cohen @TacoCohen
21K Followers 3K Following Deep learner at FAIR. Into codegen, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Kevin Patrick Murphy @sirbayes
42K Followers 328 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.
Max Welling @wellingmax
32K Followers 428 Following
Sander Dieleman @sedielem
50K Followers 2K Following Research Scientist at Google DeepMind. I tweet about deep learning (research + software), music, generative models (personal account).
Michael Bronstein @mmbronstein
43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeV
Kosta Derpanis @CSProfKGD
48K Followers 198 Following #CS Associate Prof @YorkUniversity, #ComputerVision Scientist Samsung #AI, @VectorInst Faculty Affiliate, TPAMI AE, #CVPR2024/#ECCV2024 Publicity Co-chair
Frank Noe @FrankNoeBerlin
10K Followers 577 Following Scientist, #MachineLearning and #AI for the Sciences (esp. Physics/Chemistry). Scuba Diver and Traveler.
Durk Kingma @dpkingma
35K Followers 346 Following Deep learning, mostly generative models. Prev. Google Brain/DeepMind, founding team @OpenAI. Inventor of the VAE, Adam optimizer, among other things. ML PhD.
David M. Knigge @davidmknigge
521 Followers 201 Following PhD candidate w/ @egavves at @uva_amsterdam medical and geometric deep learning. @ic4ai POP-AART Lab w/ @elekta & @NKI_nl.
Erik Bekkers @erikjbekkers
4K Followers 850 Following Assis. Prof @AmlabUva @UvA_Amsterdam @Ellis_Amsterdam | @ELLISforEurope Scholar | Geometric and Group Equivariant Deep Learning | Idealist
Elise van der Pol @ElisevanderPol
3K Followers 507 Following Senior Researcher at Microsoft Research Amsterdam. Structure, symmetry and equivariance in RL and AI4Science. She/her.
Efstratios Gavves @egavves
2K Followers 562 Following Associate Professor & Co-Founder - Temporal Learning & Neural Dynamics
Ben Poole @poolio
17K Followers 1K Following research scientist at google brain. phd in neural nonsense from stanford.
Dr. Karen Ullrich @karen_ullrich
4K Followers 561 Following Research scientist at FAIR NY + collab w/ Vector Institute. ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Andy Keller @t_andy_keller
2K Followers 924 Following Postdoctoral Fellow at The Kempner Institute at Harvard University -- Somewhere between Brains & Bits. PhD at UvA, Intern @ Apple MLR, Prev @ Intel AI & Nervana
Thomas Kipf @tkipf
25K Followers 1K Following AI Research at @GoogleDeepMind. Ex-Physicist. Graph Neural Networks & Controllable Generative Models (e.g. GCNs, Structured World Models, Slot Attention).
Sara Hooker @sarahookr
39K Followers 7K Following I lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.
Benjamin Kurt Miller @bkmi13
613 Followers 755 Following PhD student at @AmlabUva and @GRAPPAinstitute in the @ai4science_lab. Simulation-based inference is my thing these days. Prev @MSFTResearch, @MetaAI.
Pim de Haan @pimdehaan
1K Followers 217 Following Machine learning researcher at University of Amsterdam and Qualcomm AI Research
Chieh-Hsin (Jesse) La.. @JCJesseLai
295 Followers 427 Following My own words; 🇯🇵Researcher @ Sony AI; 🇹🇼Visiting Asst. Prof. @ Applied Math, NYCU; 🇺🇸PhD @ Math, U. of Minnesota; 🌐https://t.co/hHlwozfDZn
Dongjun Kim @gimdong58085414
691 Followers 713 Following PostDoc at Stanford; Diffusion models; My own words
Jascha Sohl-Dickstein @jaschasd
19K Followers 621 Following Member of the technical staff @ Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamics.
Jes Frellsen @jesfrellsen
1K Followers 740 Following Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
Sjoerd van Steenkiste @vansteenkiste_s
1K Followers 454 Following Research Scientist @GoogleAI. Interested in representation learning for vision and reasoning in LMs. Previously @IDSIA, @NNAISENSE & @UM_DKE.
Yeskendir 🇰🇿 @yeskendir_k
172 Followers 420 Following Born & raised in Kazakhstan 🇰🇿 Forged in S. Korea 🇰🇷 (KAIST, Naver, Allganize, Omnious) Doing AI Research in Europe 🇪🇺 (MSc in AI @UvA) NLP, graphs, etc.
Ting Chen @tingchenai
5K Followers 363 Following Bump up intelligence in all bit streams @xai. Previous @GoogleDeepmind, @GoogleBrain.
Jonathan Heek @JonathanHeek
234 Followers 5 Following
Robin Rombach @robrombach
6K Followers 396 Following Generative enthusiast and long-term PhD Student @LMU_Muenchen. Author of VQGAN, Latent Diffusion, Stable Diffusion.
Ilse van der Linden @ilsevdrlinden
78 Followers 143 Following PhD candidate researching AI explainability @CAIL_Amsterdam @UvA_Amsterdam
Joan Serrà @serrjoa
2K Followers 599 Following Machine learning @SonyAI_global. Focus on #audio & #multimedia synthesis/analysis/retrieval. Personal account.
Johann Brehmer @johannbrehmer
979 Followers 473 Following Machine learning at Qualcomm AI Research Amsterdam. Previously physics / ML / stats at NYU and Heidelberg University. He / him.
Alexia Jolicoeur-Mart.. @jm_alexia
10K Followers 1K Following AI Researcher at the Samsung SAIT AI Lab 🐱💻
Natasha Butt @NatashaEve4
114 Followers 146 Following Machine learning PhD student @quvalab @AmlabUva
Karsten Kreis @karsten_kreis
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542 Followers 301 Following PhD student @UvA_Amsterdam | Graph Neural Networks | Geometric Deep Learning | Neural Fields | Spatiotemporal Forecasting
Jamie Townsend @_j_towns
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Danny Tarlow @dtarlow2
893 Followers 312 Following Research Scientist @ Google DeepMind, Adjunct Prof @ McGill CS, Core industrial Member @ Mila Quebec AI Institute. Twitter account #2, now stronger security.
Jacob Austin @jacobaustin132
3K Followers 792 Following @Google @DeepMind researcher. AI for math and science. Coding. Gemini. I also play piano. NYC. Opinions my own
Daniel Johnson @_ddjohnson
1K Followers 564 Following Researcher at @GoogleDeepMind. PhD student at @VectorInst / @UofT. Building tools to study neural nets and find out what they know. He/him.
Giorgio Patrini @GiorgioPatrini
3K Followers 676 Following AI & startups @sensityai - detecting AI-generated stuff @mystralai - LLM enterprise apps agency prev: research @UvA_Amsterdam and @CSIRO . ML PhD
Avital Oliver @avitaloliver
2K Followers 879 Following Neural Network Plumber @OpenAI. Formerly Google Brain. Worked on https://t.co/vRUtCR2oEI. I used to think I'd become a math professor.
Daniel Watson @watson_nn
1K Followers 595 Following Research Scientist @GoogleDeepMind. Opinions my own. 🇵🇦
Jasmijn Bastings @jasmijnbastings
4K Followers 2K Following Sr Research Scientist @GoogleDeepMind. Interested in gender, feminism, fairness, bias & ethics in #NLProc/AI. Views my own. She/they.
Nicola De Cao @nicola_decao
2K Followers 724 Following Research Scientist @Deepmind -- Solving AI one step at a time -- He/Him
Lars Holdijk @HoldijkLars
555 Followers 194 Following Machine Learning for (comp/bio) chemistry @UniOfOxford | prev. @UvA_Amsterdam, @UnivGroningen
Lucas Theis @lucastheis
3K Followers 843 Following Research Scientist at @GoogleDeepMind. Previously @twitter, Magic Pony, @bethgelab. Compression, information theory, and probabilistic machine learning.
Jacob Buckman @jacobmbuckman
5K Followers 373 Following Founder @manifest__ai. PhD candidate @MILAMontreal. Formerly @jhuclsp, @GoogleAI, @SCSatCMU.
Sara Magliacane (she/.. @saramagliacane
3K Followers 1K Following Assistant professor @AmlabUva @UvA_Amsterdam & Research Scientist @MITIBMLab , #causality #CausalRepresentationLearning #causalityInspiredML, 🇮🇹🇸🇮 in 🇳🇱
Kristof T. Schütt @ktschuett
648 Followers 365 Following Deep learning scientist, amateur quantum chemist, musician, audio engineer. Whatever comes up. Bluesky: @ktschuett.bsky.social
Ingmar Posner @IngmarPosner
2K Followers 283 Following Applied Machine Learner, Roboticist, Professor at University of Oxford.
Sadaf Gulshad @sadafgulshad
120 Followers 512 Following Postdoc in Machine Learning and Computer Vision @ University of Amsterdam
Jan-Willem van de Mee.. @jwvdm
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Janis Postels @JanisPostels
114 Followers 230 Following
Iris Huijben @IamHuijben
277 Followers 224 Following PhD student @ TU Eindhoven. Former intern at Qualcomm AI and Meta AI. Representation learning, signal processing & compression
Mathieu Blondel @mblondel_ml
9K Followers 418 Following Research scientist at Google DeepMind. Current research interests: differentiable programming, LLMs, Transformers.
Dan Zhang @isDanZhang
477 Followers 160 Following Senior Expert at Bosch Center for Artificial Intelligence (BCAI) @Bosch_AI, leading a Bosch Industry on Campus (IoC) group at University of TübingenAfter 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.
A paper blatantly plagiarized our CTM paper (see some of their verbatim copy&paste below). Feeling bad for my junior collaborators @gimdong58085414 and @JCJesseLai who worked so hard on this.
We sadly found out our CTM paper (ICLR24) was plagiarized by TCD! It's unbelievable😢—they not only stole our idea of trajectory consistency but also comitted "verbatim plagiarism," literally copying our proofs word for word! Please help me spread this.
We sadly found out our CTM paper (ICLR24) was plagiarized by TCD! It's unbelievable😢—they not only stole our idea of trajectory consistency but also comitted "verbatim plagiarism," literally copying our proofs word for word! Please help me spread this.
Doctor now 🤓
Congratulations Dr. @artemmoskalev 🥳
What's better than Adversarial Diffusion Distillation (ADD)? Yes: *Latent* ADD. We turn the diffusion transformer in SD3 into a discriminator, move distillation to latent space and get SD3-Turbo, which achieves SD3's quality in only four unguided steps. >arxiv.org/abs/2403.12015
We build neural codecs from a *single* image or video, achieving compression performance close to SOTA models trained on large datasets, while requiring ~100x fewer FLOPs for decoding ⚡ #CVPR2024 c3-neural-compression.github.io
It's still quite challenging to maintain the exact content for few step distillation of diffusion models. Very neat work to make this happen, and more (advanced deterministic sampling techniques etc.). Congrats to the team! 🥳
Fast sampling with 'Multistep Consistency Models': We get 1.6 FID on Imagenet64 in 4 steps and scale text-to-image models, generating 256x256 images with 16 steps. Guess which row is distilled? With @emiel_hoogeboom @TimSalimans Arxiv: arxiv.org/abs/2403.06807
Google presents Multistep Consistency Models Diffusion models are relatively easy to train but require many steps to generate samples. Consistency models are far more difficult to train, but generate samples in a single step. In this paper we propose Multistep Consistency…
Fast sampling with 'Multistep Consistency Models': We get 1.6 FID on Imagenet64 in 4 steps and scale text-to-image models, generating 256x256 images with 16 steps. Guess which row is distilled? With @emiel_hoogeboom @TimSalimans Arxiv: arxiv.org/abs/2403.06807
10/11 I learned a lot about parallelized training during my @GoogleDeepMind internship thanks to @m__dehghani @emiel_hoogeboom @JonathanHeek . Google's infrastructure makes scaling on TPUs so easy.
New blog post! Some thoughts about diffusion distillation. Actually, quite a lot of thoughts 🤭 Please share your thoughts as well! sander.ai/2024/02/28/par…
Today is a new day and a new blog post on score-based generative models. How do we use score matching to learn generative models defined by a stochastic/ordinary differential equation? Check this out! Post: jmtomczak.github.io/blog/17/17_sbg… Code: github.com/jmtomczak/intr…
Today we start @NeurIPSConf 2023 in amazing New Orleans! Morever, I am excited to announce that I will be a program chair of @NeurIPSConf 2024 together w/ Cheng Zhang & @ulrichpaquet, and @DaniCMBelg as the general chair. Great days ahead 💯
Thrilled to share that I joined Janssen R&D (@JNJGlobalHealth) as a Postdoctoral Research Scientist few months ago. Diving deep into geometric deep learning for drug discovery🧬. Enjoying every moment of this new adventure! 🤓
Introducing Replay v0.2 with a new image-to-video mode. What’s new? 1) Prompting with an image 2) 3x longer AI video 3) 2.7x higher resolution Available today. Share your Replay creation below 👇
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]
Our paper has been accepted as an oral to @NeurIPSConf ! 😃🥳 📜Updated paper at arxiv.org/abs/2305.11141 💻Updated code (including Colab tutorial) at github.com/DavidRuhe/clif…
Together with the amazing @jo_brandstetter and Patrick Forré, we present Clifford Group Equivariant Neural Networks: a new E(n) steerable equivariant neural architecture that respects rotations, reflections, and more symmetries that operates on multivectors!
@PaulVicol and I are excited to introduce DRaFT, a method that fine-tunes diffusion models on rewards (such as scores from human preference models) by backpropagating through the diffusion sampling! with @kswersk, @fleet_dj arXiv: arxiv.org/abs/2309.17400 (1/5)
Excited to release SE(3) Equivariant Augmented Coupling Flows (arxiv.org/abs/2308.10364) - an equivariant flow architecture with fast sampling and density evaluation, designed for energy-based training! With @VStimper @JaviAC7 @MathieuEmile @bschoelkopf and @jmhernandez233! 1/18
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