Grading and googling hallucinated citations, as one does nowadays, and now that LLMs have been around for a while, I've discovered new horrors: hallucinated journals are now appearing in Google Scholar with dozens of citations bc so many people are citing these fake things

A small step for science, quite a big one for us: reaching 10k citations. Thanks to all co-authors! scholar.google.de/citations?hl...

blog.arxiv.org/2025/10/31/a... FYI the blog post for the updated policy is out. Our llm future is dire:/

Looks like I belong to the big boys now 🫡 Mail from OpenAI: "Congratulations on processing over 10 billion tokens with the OpenAI API." 😅 A lot of these tokens went into this project: "Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications" arxiv.org/pdf/2509.10248

Our new paper (accepted at #NeurIPS UrbanAI Workshop): "Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows" arxiv.org/pdf/2510.04510 is part of our work using generative model to predict complex physics www.physics-gen.org

Our GCPR @gcpr-by-dagm.bsky.social paper (Oral) "Assessing Foundation Models for Mold Colony Detection with Limited Training Data" is now on Arxiv: arxiv.org/pdf/2510.00561

Our #NeurIPS ORAL "MaxSup: Overcoming Representation Collapse in Label Smoothing", joint work with @cispa.de, is now on Arxiv: arxiv.org/pdf/2502.15798

Following up on the discussions about prompt injections which were found in Arxiv paper sources - indicating that some authors try to manipulate LLM generate reviews: beyond the ethical implications, I was wondering if this actually works and did some experiments... arxiv.org/abs/2509.10248

Very glad to see that someone is doing the important work of aligning AI alignment. alignmentalignment.ai

MIT’s NANDA initiative found that 95% of generative AI deployments fail after interviewing 150 execs, surveying 350 workers, and analyzing 300 projects. The real “productivity gains” seem to come from layoffs and squeezing more work from fewer people not AI.

Update on hidden prompts in papers targeting LLM reviews: ICML 2025 PCs react. icml.cc/Conferences/...

Replication Crisis xkcd.com/3117/

🚀 Calling all ML, CV and Sensor Enthusiasts! Join us at the L2S: Learning to Sense Workshop at #NeurIPS2025 ! 🗓 Date: December 6/7, 2025 📍 Location: San Diego, USA sites.google.com/view/l2s-wor...

Attending #ICML2025? Watch out for our paper "DCBM: Data-Efficient Visual Concept Bottleneck Models" presented by @katharinaprasse.bsky.social -> github.com/KathPra/DCBM

Congratulations to @paulgavrikov.bsky.social for an excellent PhD defense today!

Two papers with @keuper-labs.bsky.social participation accepted at #ICCV2025: 1) Scientific figure generation with TikZero, it generates scientific figures from text as high-level, human-interpretable, and editable graphics programs -> arxiv.org/pdf/2503.11509

Searching for latex symbols? I found this handy tool: detexify.kirelabs.org/classify.html

🚨 Calling all Vision and ML researchers! 🚨 Missed the regular GCPR deadline? No worries, the Fast Review Track deadline is July 1, 2025 (11:59 PM CEST). Polish up that revision from a previous submission and submit now! 🔄✍️ #GCPR2025 #ComputerVision #AIResearch

Presenting our poster #45 today at #CVPR in poster session 3: "PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?" cvpr.thecvf.com/virtual/2025...

A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification @bianca-lamm.bsky.social @janiskeuper.bsky.social Poster Wed. 2-4pm at ExHall D Fine-Grained Visual Categorization Workshop at #CVPR2025 ( sites.google.com/view/fgvc12) arxiv.org/pdf/2504.11838?

Main #CVPR2025 Conference Paper: PhysicsGen - Can Generative Models Learn from Images to Predict Complex Physical Relations? Martin Spitznagel, Jan Vailant, @janiskeuper.bsky.social Sat 14 Jun 10:30 a.m. CDT — 12:30 p.m. ExHall D Poster #45 cvpr.thecvf.com/virtual/2025...

We are presenting 7 papers (main conference+ workshops) at #CVPR2025 www.keuper-labs.org/research/?se...

🚀 Exciting news! #GCPR2025 – the DAGM German Conference on Pattern Recognition – is coming to Freiburg, Germany! 📍🗓️ Mark your calendars: September 23-26, 2025!

I asked "on the other platform" what were the most important improvements to the original 2017 transformer. That was quite popular and here is a synthesis of the responses:

Visit our poster presentations at #ICLR2025 iclr.cc/virtual/2025...

On Thursday, I'll be presenting our paper "Can We Talk Models Into Seeing the World Differently?" (#328) at ICLR 2025 in Singapore! If you're attending or just around Singapore, l'd love to connect—feel free to reach out! Also, I’m exploring postdoc or industry opportunities–happy to chat!

Ever wondered how big convolutional filters should really be? 🤔 We push things to the limit literally. Infinite-size convs, but efficient. “As Large as It Gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters” at #ICLR2025, Singapore! #ML #DeepLearning #ComputerVision

You’ve probably heard about how AI/LLMs can solve Math Olympiad problems ( deepmind.google/discover/blo... ). So naturally, some people put it to the test — hours after the 2025 US Math Olympiad problems were released. The result: They all sucked!

New pre-print: "FOUNDATION MODELS FOR SEISMIC DATA PROCESSING: AN EXTENSIVE REVIEW". Interesting findings for #Seismic / #Geophysic Applications: I) hierarchical models outperform basic approaches, II) pre-training on natural images actually helps in low-data settings. arxiv.org/pdf/2503.02113

@hf.co featured our latest CVPR paper on the physical correctness of generative model in daily papers: huggingface.co/papers/2503.... and is hosting the benchmark data: huggingface.co/datasets/msp... Project page: www.physics-gen.org

Our latest paper accepted at #CVPR2025 is now arxiv: "PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?" arxiv.org/abs/2503.05333

Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU. It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵 Full Report: assets.publishing.service.gov.uk/media/679a0c... 1/21

Proud to announce that our paper "Can We Talk Models Into Seeing the World Differently?" was accepted at #ICLR2025 🇸🇬. This marks my last PhD paper, and we are honored that all 4 reviewers recommended acceptance, placing us in the top 6% of all submissions.

We will be presenting 3 papers at @iclr-conf.bsky.social : 1. Can we talk models into seeing the world differently? 2. VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis 3. "As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters"

With 128 GB of unified memory, NVIDIA's new Project DIGITS finally offers a desktop machine that can compete with my MacBook Pro on memory, but outcompetes it on the "lack of CUDA support" front. nvidianews.nvidia.com/news/nvidia-...

"Sora is a data-driven physics engine." x.com/chrisoffner3...

Congratulations to Mario Fernandez for his successful defense in Paris at ENS - "Towards deep learning for seismic processing". Joint supervision with Matthias Delescluse (ENS) FraunhoferITWM and @keuper-labs.bsky.social

New IJCV paper out: Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach. Joint work with Fraunhofer ITWM and @keuper-labs.bsky.social link.springer.com/content/pdf/...

www.keuper-labs.org is going blue ... we will post our latest research and other #ComputerVision and #MachineLearning news in our new #BlueSky channel ...

Hello World! Started here today... plan to post our research and re-post/comment on #ComputerVision, #MachineLearning and #Geophysics topics ...