Our work received an invited talk at the Imageomics-AAAI-25 workshop of #AAAI25. @vtaohu.bsky.social will be representing us there. Without me being there, I still would like to share our poster with you :D
We also have another oral presentation for DepthFM on March 1, 2:30 pm-3:45 pm.
28.02.2025 17:03 — 👍 3 🔁 1 💬 0 📌 0
typos
01.03.2025 00:42 — 👍 1 🔁 0 💬 1 📌 0
Our method pipeline
🤔When combining Vision-language models (VLMs) with Large language models (LLMs), do VLMs benefit from additional genuine semantics or artificial augmentations of the text for downstream tasks?
🤨Interested? Check out our latest work at #AAAI25:
💻Code and 📝Paper at: github.com/CompVis/DisCLIP
🧵👇
08.01.2025 15:54 — 👍 15 🔁 8 💬 1 📌 0
Did you know you can distill the capabilities of a large diffusion model into a small ViT? ⚗️
We showed exactly that for a fundamental task:
semantic correspondence📍
A thread 🧵👇
06.12.2024 14:35 — 👍 4 🔁 2 💬 1 📌 2
Your Diffusion Model is secretly an implicit timestep model, no matter discrete or continuous~
04.12.2024 23:42 — 👍 6 🔁 0 💬 0 📌 0
👍
27.11.2024 11:11 — 👍 1 🔁 0 💬 0 📌 0
Introducing “MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM”! We do SLAM with novel view synthesis capabilities on multiple simultaneously operating agents!
vladimiryugay.github.io/magic_slam/i...
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27.11.2024 05:34 — 👍 51 🔁 17 💬 3 📌 1
PhD Student at Ommer Lab, Munich (Stable Diffusion)
🎯 Working on getting my first 3M.
The MCML is a joint research initiative of LMU München and TU München. It is institutionally funded by the Federal Ministry of Education and Research and the Free State of Bavaria.
Junior research group leader at TUM | University of Tübingen. Currently at BAIR (Berkeley). Previously at VGG (Oxford). Interested in multi-modal learning.
🔗 https://akoepke.github.io/
Professor of Ethics in Medicine and Health Technologies @tumuenchen.bsky.social
Former chair of Deutscher Ethikrat
Host of @3Sat NANO TALK
New book »Leben & Sterben« 26.03. @s.fischer https://shorturl.at/DFSNo
Assistant Professor "AutoML and Optimization" @ Lamarr institute and @tu-dortmund.bsky.social. Working on #AutoML, #HPO, #TabularData #OpenML #Benchmarking
Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
Prof @HelmholtzMunich, TUM, King’s and CTO/CSO @XRnostics
Machine Learning in Biomedical Imaging
posts my own
linkedin.com/in/juliaschnabel
Prof at TUM and Imperial College London. Doing research on AI in healthcare and medicine
MCML PhD student @ LMU Munich
Working on causal & fair ML
Interested in social science and the book of why
He/him
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
Professor of the Ethics of Artificial Intelligence, LMU Munich.
Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
PhD candidate at LMU Munich. Representations, model and data attribution, training dynamics.
Strong opinions on coffee and tea ☕
https://florian-eichin.com
PhD candidate at LMU Munich | Munich Center for Machine Learning (MCML) | https://sandylaker.github.io |
Open to work.
Research group leader at LMU Munich and MCML on ML, NLP & HCI. Also experimenting with lemonade that glows in the dark 🥤 (he/him)
