LLMs are autoregressive and slow? No! Parallel Token Prediction decodes multiple consistent tokens in one model call. PTP allows arbitrary dependencies in one call, unlike discrete diffusion. Practical: 2.4x speedup github.com/mandt-lab/ptp ICLR: Apr 23, morning poster P3-#608
Francesco Immorlano
@f-immorlano.bsky.social
Postdoc researcher @ University of California Irvine, LEAP NSF-STC - Columbia University Machine Learning & Generative modeling for Climate Science
Just got back from an incredible experience at the EXCLAIM symposium “Is AI the Future of Weather and Climate Modeling?” at the @ethz.ch. 🧵 1/n
What an exciting collaboration! Congratulations, @f-immorlano.bsky.social @gabrieleaccarino.bsky.social @stephanmandt.bsky.social @pierregentine.bsky.social + colleagues at CMCC Foundation, @columbiauniversity.bsky.social @ucirvine.bsky.social @dlr-spaceagency.bsky.social @dlr-en.bsky.social
I am so excited to share our latest research paper "Transferring climate change physical knowledge" published in @pnas.org! 🧵 1/4 www.pnas.org/doi/10.1073/...
I am so excited to share our latest research paper "Transferring climate change physical knowledge" published in @pnas.org! 🧵 1/4 www.pnas.org/doi/10.1073/...
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
pnas.org
So delighted to share our new paper, my little Covid project brought to a whole new level by Francesco Immorlano www.pnas.org/doi/10.1073/.... We demonstrate how future projections can be refined using transfer learning (fine tuning). This refines our estimates of global warming.
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
pnas.org
Our Dep. Dir. Tian Zheng connected w/Cali LEAPers @jlin404.com + @f-immorlano.bsky.social and other colleagues (Katherine Frields, Liran Peng, Yan Xia) while at an event near @ucirvine.bsky.social ... Just proves: science = more fun together! 💪 #LEAPcolors #community #ML #AI #physics #data #climate
Excited to share some great collaboration on a new data assimilation framework with transformer encoding arxiv.org/pdf/2502.02884. Exciting times for data assimilation with ML
arxiv.org
New postdoc position open at UCI to work at the intersection of machine learning and climate science, jointly between Stephan Mandt's group and my group. More details and application information here: ics.uci.edu/~smyth/postd... Feel free to share.
"Extreme wet-to-dry transitions can amplify wildfire risk by allowing increased rates of plant growth to be immediately followed by rapid drying of flammable vegetation, increasing the potential intensity of subsequent fire events" www.nature.com/articles/s43... @weatherwest.bsky.social
Hydroclimate volatility on a warming Earth - Nature Reviews Earth & Environment
Rapid transitions between extreme wet and extreme dry conditions — ‘hydroclimate whiplash’ — have marked environmental and societal impacts. This Review outlines observed and projected changes in hydr...
nature.com
Pictures from the recent UCI Social at @neuripsconf.bsky.social with a subset of students, faculty, guests. Looking forward to the next event at NeurIPS 2025 in San Diego!
We spy @f-immorlano.bsky.social + LEAP alum Sungduk Yu, who supported @juannat7.bsky.social @ #NeurIPS2024: "ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction." #NSF #CUSEAS @neuripsconf.bsky.social @columbiaclimate.bsky.social @ucirvine.bsky.social