Laure Ciernik
@lciernik
PhD student at ML Group @TUBerlin @bifoldberlin @HFA_academy @ELLISforEurope | MSc thesis at Boeva Lab, @ETH_en
🎉 Update: This work got accepted to #icml2025!! Huge thanks to my amazing co-authors @LorenzLinhardt, Marco Morik, @jdppel, @skornblith, and @lukas_mut for their great work and to all collaborators! 🙏 📄 Paper: arxiv.org/abs/2411.05561 💻 Code: github.com/lciernik/simil… 🧵1/3
If two models are more similar to each other than a third on ImageNet, will this hold for medical/ satellite images? Our preprint analyzes how vision model similarities generalize across datasets, the factors that influence them, and their link to downstream task behavior. 🧵1/7
1/🚀 Excited to share RegVelo, our new computational model combining RNA velocity with gene regulatory network (GRN) dynamics to model cellular changes and predict in silico perturbations. Here's how it works and why it matters! 🧵👇 biorxiv.org/content/10.110…
🚀 New preprint from our lab, @ekrym2 and @fabian_theis : UniversalEPI, an attention-based method to predict enhancer-promoter interactions from DNA sequence and ATAC-seq🌟 🔬 Key Highlights: - Predicts chromatin interactions across unseen cell types with no retraining. -…
1/ 🧬 Single-cell genomics reveals biological variations beyond cell types. Unveiling these in separate latent dimensions is known as disentanglement. Led by @AmirAliMoinfar, we introduce DRVI to learn nonlinear, disentangled & interpretable latent spaces. biorxiv.org/content/10.110…
❓ Do histopathological foundation models eliminate batch effects? ❓ The surprisingly clear answer is: they do not! Find out more in our new paper that we will present at the AIM-FM Workshop at @NeurIPSConf. Link: arxiv.org/abs/2411.05489
New Preprint 🚨: Our lab finds that high mitochondrial RNA (pctMT) levels, typically flagged as cell death in single-cell RNA-seq, may actually mark viable, critical cancer cell populations. doi.org/10.1101/2024.1… Here’s what we uncovered 👇 (1/n)
Big thanks to my collaborators and mentors, first and foremost @IdajiMina, as well as @EberleOliver, @thomschnake, @jdppel, @lciernik, Oliver Buchstab, @am0ck, Frederick Klauschen, Klaus-Robert Müller, and all the supporters from @bifoldberlin and @ml_tuberlin.
🚨thingsvision (github.com/ViCCo-Group/th…) has a few new gems for you: - 🔥efficient mini-batch feature extraction for using your custom data pipeline 👇 - 🤖more vision models including OpenCLIP, DINOv2, and MAEs - 🧠optional alignment of model representations with gLocal 👇
First publication of my postdoc in Berlin is out on arXiv today! 🎉 ~~> We use diffusion probabilistic models to relax distorted molecules. No out-of-equilibrium data needed! A little 6-thread🧵