Clément @clement_wh
Master MVA - ENS Paris Saclay | Intern @ Inria Paris (AstraVision group) clement-w.github.io Joined November 2022-
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MLPs are so foundational, but are there alternatives? MLPs place activation functions on neurons, but can we instead place (learnable) activation functions on weights? Yes, we KAN! We propose Kolmogorov-Arnold Networks (KAN), which are more accurate and interpretable than MLPs.🧵
How do we capture local features across multiple resolutions? While standard convolutional layers work only on a fixed input-resolution, we design local neural operators that learn integral and differential kernels, and are principled ways to extend standard convolutions to…
If you want to chat about flow matching, stochastic interpolants, diffusion models and their links with OT (Schrödinger Bridge 🌉 hehe) catch me at poster #619 (Thurs 14 10:45-12:45) where I will be presenting "Diffusion Schrödinger Bridge Matching" (arxiv.org/abs/2303.16852).
Fully agree! Neural operators = conditional neural fields That should make neural operators more accessible to all computer vision researchers and engineers working on NeRFs. However, even though the two are equivalent, the difference arises in terms of intuitions and design…
Fully agree! Neural operators = conditional neural fields That should make neural operators more accessible to all computer vision researchers and engineers working on NeRFs. However, even though the two are equivalent, the difference arises in terms of intuitions and design…
2022: A Year in Review (ML Papers Edition) In this thread, let's take a look at some of the top trending ML papers of 2022 ↓
Magic3D: High-Resolution Text-to-3D Content Creation abs: arxiv.org/abs/2211.10440 project page: deepimagination.cc/Magic3D/
Bruno Galerne @BrunoGalerne
252 Followers 2K Following Professor in applied mathematics at University of Orléans, interested in image processing and deep generative models, IUF Junior 2022
Charly Wargnier @DataChaz
112K Followers 31K Following Developer Advocate @Streamlit (acq. @SnowflakeDB) | prev. Samsung • 𝕏 about LLMs, AI, Data Science, Web Apps and SEO • My heart is open source • Views mine!
Yuan Yin @yuanyinnn
139 Followers 676 Following Postdoctoral AI Researcher @valeoai. PhD from @mlia_isir @Sorbonne_Univ_. He/him. Tweets in English/français/中文
Ziming Liu @ZimingLiu11
9K Followers 635 Following PhD student@MIT, AI for Physics/Science, Science of Intelligence & Interpretability for Science
Benjamin Wandelt @bwandelt
1K Followers 799 Following Professor of Astrophysics at Sorbonne University, Paris. Cosmology, Physics, Astro, AI/ML, Stats, Computation, Maths belong to everyone. Opinions are my own.
Baptiste GENEST @Eulerson314
222 Followers 761 Following Applied math and Geometry lover, discrete geometer wannabe, Applied Math Graduate Student at @UnivLyon1 he/him
Aquila consortium @AquilaScience
99 Followers 33 Following
Florent Leclercq @LeclercqFlorent
190 Followers 106 Following Cosmologist and information scientist @astroIAP. Moved to https://t.co/Waw0qdXafY
Sierra Team @Sierra_ML_Lab
414 Followers 35 Following Twitter account of the Sierra project-team @Inria_Paris, @CNRS, @ENS_ULM #MachineLearning & #Optimization
WiMLDS Paris @WiMLDS_Paris
3K Followers 2K Following Paris Women in Machine Learning & Data Science chapter | 2019 Science & Research Award | 💻 @MrsCaroline_C @cazencott @ncernecka @MarieSacksick @bennis_jihane
Bert Chan @BertChakovsky
5K Followers 774 Following Artificial life researcher @GoogleDeepMind (formerly Brain). Hongkonger. Neurodiversity is biodiversity.
Silvia Sellán @sellan_s
3K Followers 5K Following University of Toronto Computer Graphics and Geometry Processing PhD candidate. Vanier scholar, Adobe Fellow and EECS Rising Star.
Mauro Comi @mauro_ai
404 Followers 662 Following PhD student in Machine Learning, 3D Computer Vision, and Robotics. Soft spot for graphics research, Pixar movies, and chocolate || https://t.co/SNZDhbDXzv
Fabrice NEYRET - pro @FabriceNEYRET
1K Followers 31 Following Google knows everything. Ask NSA for the rest. NB: as for Facebook, I often click "like" just to get a chance to find a post again, not because I approve it.
David Picard @david_picard
3K Followers 312 Following Computer Vision/Machine Learning research @ImagineEnpc / LIGM , École des Ponts. Music & overall happiness. A few flowers too. Born well below 350ppm.
mohayaee roya @MohayaeeR
101 Followers 88 Following Roya Mohayaee, CNRS, IAP, Sorbonne universite. Optimal transport theory and astrophysics. Monge-Ampere gravity, anomalous matter dipole, Dark matter/energy
George Kopanas @GKopanas
1K Followers 282 Following PhD Student at @Inria + Part-time Climbing Gym Owner. Previously Intern@Adobe | SWE at @Arm
Julián Tachella @TachellaJulian
484 Followers 349 Following @CNRS research scientist, based at @ENSdeLyon. I'm interested in AI for imaging inverse problems Looking to hire phds/postdocs! 🇦🇷 🇬🇧 🇫🇷
Alex Carlier @alexcarliera
8K Followers 1K Following 3D/AI • Prev https://t.co/NPHUU0wBCJ (NeRFs in the browser), AI research at @MetaAI, @ETH Zurich & @Amazon
Tolga Birdal @tolga_birdal
3K Followers 249 Following geometric computing, computer vision, machine learning, philosophy, music @ICComputing, previously @StanfordAILab
Luca Nenna @NenLuke
326 Followers 231 Following Since 1988. Mathematician living at the intersection of Quantum Mechanics, Economics and Optimal Transport. Working at U. Paris-Saclay
Bruno Levy @BrunoLevy01
9K Followers 1K Following @[email protected] Inria Research Director / Computational Physics/Cosmology / Scientific Director of Program Inria Quadrant / #riscv ambassador
Nicolas Bonneel @nbonneel
1K Followers 438 Following Research Director at CNRS in Computer Sciences in Lyon and part-time Assistant Professor at École Polytechnique, Paris.
Michael Black @Michael_J_Black
59K Followers 646 Following Director, Max Planck Institute for Intelligent Systems (@MPI_IS). Chief Scientist @meshcapade. Building 3D digital humans using vision, graphics, and learning.
Andrés Almansa @AndresAlmansaR
65 Followers 89 Following @CNRS senior research scientist based at @univ_paris_cite. Computational Imaging, Plug & Play Methods, Remote Sensing, Applied Mathematics, Machine Learning.
Quentin Berthet @qberthet
2K Followers 2K Following Research Scientist at Google DeepMind Machine Learning - Paris
Vincent Sitzmann @vincesitzmann
13K Followers 297 Following Assistant Professor @ MIT, leading the Scene Representation Group (https://t.co/h5gvhLYrtw). Neural scene reps., neural rendering, inverse graphics.
Antoine Guédon @antoine_guedon
256 Followers 86 Following 🇫🇷 PhD student in computer vision @ImagineEnpc Interests: deep learning, 3D reconstruction, 3D scene understanding and 3D scene rendering.
defunkt @defunkt
73K Followers 2K Following publishing indie games @nullgames | board member @computerhistory | @github cofounder and former ceo | building something new @voiddotdev
Zhenjun Zhao @zhenjun_zhao
3K Followers 472 Following PhD student in CUHK for 3D computer vision/SLAM/SfM/localization/local feature (https://t.co/ek376Drwvu). Open to collaboration.
Andrei Bursuc @abursuc
7K Followers 1K Following Research scientist @valeoai | Teaching @Polytechnique @ENS_ULM | Alumni @upb1818 @Mines_Paris @Inria @ENS_ULM
Radiance Fields @RadianceFields
3K Followers 584 Following Documenting the exciting progression of radiance field based technologies, including but not limited to Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting
MrNeRF @janusch_patas
5K Followers 430 Following When your splat are so on point, even the pixels are getting jealous | Sharing news around 3DGS progress and improvements | Mostly technical tweets and threads
Ahmed Elhag @Ahmed_AI035
520 Followers 214 Following PhD Student in Computer Science @UniofOxford / Fellow @hilda_beastoxf / https://t.co/uv9fxs89KF
Miguel Angel Bautista @itsbautistam
2K Followers 181 Following I am a research scientist (currently @ Apple ML Research) seeking a grand unification of generative modeling 🇪🇸🇺🇸
Michael E. Sander @m_e_sander
733 Followers 201 Following Ph.D. student @ENS_ulm, with @gabrielpeyre and @mblondel_ml.
GEMBio Workshop @gembioworkshop
192 Followers 0 Following Generative and Experimental Perspectives for Biomolecular Design workshop at ICLR 2024
Prof. Anima Anandkuma.. @AnimaAnandkumar
25K Followers 2K Following Bren Professor @caltech, Fmr Sr Director of #AI research @nvidia, Fmr Principal Scientist @awscloud, AI+Science, PDE, Neural operators. Views my own.
Laura Cantini @LauCan88
1K Followers 754 Following Junior group leader @institutpasteur permanent researcher @CNRS and chair @institutPrairie #multiomics #singlecell #multimodalintegration #networkmedicine
Miles Cranmer @MilesCranmer
12K Followers 904 Following Assistant Prof @Cambridge_Uni, works on AI for the physical sciences. Previously: Flatiron, DeepMind, Princeton, McGill.
AI for Science @AI_for_Science
4K Followers 443 Following AI for Science workshop series (next @ICML 2024)
Bruno Loureiro @_brloureiro
405 Followers 637 Following Researcher at @ENS_ULM working on the crossroads between machine learning and statistical physics.
Alaa El-Nouby @alaa_nouby
524 Followers 302 Following Research Scientist at @Apple. Previous: @Meta (FAIR), @Inria, @MSFTResearch, @VectorInst and @UofG . Egyptian 🇪🇬 Deprecated twitter account: @alaaelnouby
Hervé Jegou @hjegou
850 Followers 75 Following
MLIA @mlia_isir
2K Followers 173 Following #MachineLearning & #DeepLearning for Information Access. Academic research lab within @ISIR_labo, @ScienceSorbonne, @Sorbonne_Univ_
Jill-Jênn Vie @jjvie
2K Followers 2K Following Researcher @Soda_Inria visiting @UnivKyoto. Lecturer at @Polytechnique. 128 algorithms in #Python book @CambridgeUP. Conseil scientifique @education_gouv
kyutai @kyutai_labs
6K Followers 6 Following
Centre Inria de Paris @inria_paris
4K Followers 894 Following Centre @Inria, partenaire de @Sorbonne_Univ_ : les sciences et technologies du numérique en #ÎledeFrance #digitalscience #research #innovation
Finally, Taylor Swift explains her own theorem.
With @nicolas_courty and @dcoeurjo, we just received the Günter Enderle Award for the best paper at @EurographicsC 2024, for our article "Non-Euclidean Sliced Optimal Transport Sampling"! I should post a recording of my presentation very soon! (photo by @boubek)
Visualization of the anisotropy of Voronoi cells. Why ? Why not ?!
A very nice take on replacing the heuristics of 3DGS with something more principled + a huge boost in numbers. Way to go @Shakiba_kh, Daniel Rebain and all the rest!
📢📢📢 3D Gaussian Splatting brought you real-time rendering, but at slightly lower PSNR compared to mipNeRF360... 𝐚𝐬 𝐨𝐟 𝐭𝐨𝐝𝐚𝐲, 𝐭𝐡𝐚𝐭 𝐢𝐬 𝐧𝐨 𝐥𝐨𝐧𝐠𝐞𝐫 𝐭𝐫𝐮𝐞. Introducing "3D Gaussian Splatting as Markov Chain Monte Carlo" arxiv.org/abs/2404.09591
Teaching Brenier's theorem in front of Yann Brenier ... life goal achievement unlocked!
🥳 I’m very happy to announce our preprint biorxiv.org/content/10.110… ! scConfluence combines uncoupled autoencoders with Inverse Optimal Transport to integrate unpaired multimodal single-cell data in shared low dimensional latent space. @LauCan88 @gabrielpeyre
I’m really glad to present my very first paper, “Non-Euclidean Sliced Optimal Transport Sampling” ! With @nicolas_courty and @dcoeurjo at @EurographicsC 2024 ! Here is a short thread showing you what it is about ⬇️
How do we capture local features across multiple resolutions? While standard convolutional layers work only on a fixed input-resolution, we design local neural operators that learn integral and differential kernels, and are principled ways to extend standard convolutions to…
Looking for a postdoc to join my team @institutpasteur @CNRS @InstitutPrairie. The candidate will develop machine learning methods for single-cell omics data. Project funded by the #ERCStG MULTI-viewCELL
Tensors are back! I am so glad to see this! We have been advocating that tensor or multilinear operations are all you need. The benefits: universal approximation and expressivity. Higher order BLAS operations for parallelism without the need for any transposition or data…
Proud for our new #ICLR2024 paper attempting to answer: Are activation functions required for all deep networks? Can networks perform well on ImageNet recognition without activation functions, max pooling, etc? 🧐 Arxiv: arxiv.org/abs/2401.17992 🧵1/n
Last year, physics based PhysGaussian and PieNeRF made waves. Now the follow up work, Gaussian Splashing emerges with fluid simulations 🌊 🔗radiancefields.com/gaussian-splas…
Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting Yutao Feng, Xiang Feng, Yintong Shang, Ying Jiang, Chang Yu, Zeshun Zong, Tianjia Shao, Hongzhi Wu, Kun Zhou, Chenfanfu Jiang, Yin Yang tl;dr: position-based dynamics+3DGS arxiv.org/pdf/2401.15318…
Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting arxiv.org/pdf/2401.15318…
Spherical harmonics is an orthogonal basis of eigenvectors of the Laplacian on the sphere. Eigenspaces of fixed frequency are rotation invariant. The basic tool to perform linear and invariant signal processing on the sphere. en.wikipedia.org/wiki/Spherical…
Happy to share that the "Multiple Physics Pretraining" paper won the Best Paper Award at the AI for Science NeurIPS workshop! Congratulations to @mikemccabe210, @liamhparker, @BrunoRegaldo @oharub for leading the effort, and everybody in the @PolymathicAI team!
Honored to receive best paper for MPP at the @AI_for_Science @NeurIPSConf workshop with my teammates @PolymathicAI! Thanks to everyone who stopped by our poster for the great discussions and to the organizers for running such an interesting workshop! #AI4Science #NeurIPS2023
Our researchers are pleased to share and discuss their #NeurIPS2023 papers Louis Serrano and Thomas Wang presenting « Operator Learning with Neural Fields: Tackling PDEs on General Geometries » arxiv.org/abs/2306.07266
If you want to chat about flow matching, stochastic interpolants, diffusion models and their links with OT (Schrödinger Bridge 🌉 hehe) catch me at poster #619 (Thurs 14 10:45-12:45) where I will be presenting "Diffusion Schrödinger Bridge Matching" (arxiv.org/abs/2303.16852).
Fully agree! Neural operators = conditional neural fields That should make neural operators more accessible to all computer vision researchers and engineers working on NeRFs. However, even though the two are equivalent, the difference arises in terms of intuitions and design…
@AnimaAnandkumar I think this equivalence is helpful for understanding the conditioning mechanisms that popular neural operator architectures employ, and also opens a path to designing new conditioning mechanisms/architectures that can be better tailored to a specific task.
Tutorial: "Introduction to Information Geometry" (no prerequisites in differential geometry & stats) Introduce structures with applications: -1/ Fisher-Rao manifolds + *neuromanifolds* -2/ Dual ±α-geometries -3/ Divergence information geometry 👉tinyurl.com/TutoIG
A 1949 paper by Feller set the foundation for forward & reverse stochastic diffusion models, showing both can be described using the same functional form, and that the reverse process requires the score function. Except in @jaschasd's seminal 2015 work, it is hardly cited at all!…
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