Lovro Vrček
@lovrovrcek
PhD student @fer_unizg | Bioinformatics Specialist @astar_gis. AI, graphs, bioinformatics. 🇭🇷
GNNome was published in @genomeresearch! This is a novel paradigm for de novo genome assembly based on GNNs. Without explicitly implementing any simplification strategies, it can achieve results comparable or higher than other SOTA tools. Paper, code, and overview are 👇 [1/8]
![lovrovrcek's tweet image. GNNome was published in @genomeresearch! This is a novel paradigm for de novo genome assembly based on GNNs. Without explicitly implementing any simplification strategies, it can achieve results comparable or higher than other SOTA tools. Paper, code, and overview are 👇 [1/8]](https://pbs.twimg.com/media/GqAirreawAMb9Oy.jpg)
Happy to present the first complete genome of an Indian individual biorxiv.org/content/10.110…. Joint effort by @astar_gis ,FER, and partners, with support from the Singapore NPM programme! Joint effort with JJ Liu Lab! @msprasad693 and @JosipaLipovac as co-first authors.
📢 Introducing Biomni - the first general-purpose biomedical AI agent. Biomni is built on the first unified environment for biomedical agent with 150 tools, 59 databases, and 106 software packages and a generalist agent design with retrieval, planning, and code as action. This…
How well do single-cell foundation models perform w/o finetuning? Our work @GenomeBiology shows that in zero-shot settings, scGPT and Geneformer often underperform traditional methods, raising questions about their utility for biological discovery. 📰 genomebiology.biomedcentral.com/articles/10.11…
Equivariance is dead - long live equivariance? Scaling pure Transformers is the future of molecular generative models? I think its a lot more nuanced -- I tried to give some perspectives in my spotlight talk at #ICLR2025 AI4Mat Workshop last week
📣 Our spicy ICML 2025 position paper: “Graph Learning Will Lose Relevance Due To Poor Benchmarks”. Graph learning is less trendy in the ML world than it was in 2020-2022. We believe the problem is in poor benchmarks that hold the field back - and suggest ways to fix it! 🧵1/10
Cannot agree more. Though-provoking. Recently, we showed the implementation of GNNs on genome assembly (huge graphs). genome.cshlp.org/content/35/4/8… Happy to provide benchmark data. I believe GNNs is the way to reconstruct cancer genomes.
📣 Our spicy ICML 2025 position paper: “Graph Learning Will Lose Relevance Due To Poor Benchmarks”. Graph learning is less trendy in the ML world than it was in 2020-2022. We believe the problem is in poor benchmarks that hold the field back - and suggest ways to fix it! 🧵1/10
🏆 We would once again like to thank our sponsors, who made it possible for us to provide you with lunch, and some of you with travel and registration grants and best paper awards! Find the list of the awarded papers on our website and in the comments below 🧵
I was very happy to see that AI conferences realized the world is bigger than the US, and what makes me happy now is how many people discovered how wonderful Singapore is :)
Singapore is the most impressive city I've ever visited. Way more than NYC or SF. I'm so happy that ICLR (& AABI) decided on Singapore, and I hope we can avoid the US for a bit 🙏 big thanks to my friends for showing me around and to all the awesome people I met and talked to 😊
The account seems to be inactive, but this has never been more true.
Adam deserves the award, but in Singapore everyone still uses SGD