In our #NewPaper, we showcase the Vendi Score in genomic epidemiology, showing how you can use it to detect new COVID-19 variants before formal identification. Check it out! #Ecology #Genomics #Health

Preprint: arxiv.org/abs/2509.22520

Are you at the @accelerationc.bsky.social Conference in Toronto? Did you catch Siwoo Lee presenting on "MuAPBEK: An Improved Analytical Kinetic Energy Density Functional For Quantum Chemistry"? 🐯 #ACConference #Vertaix

Check out the paper here: arxiv.org/abs/2505.04559

#NewPaper A major development in the design and discovery of metal-organic frameworks (MOFs)! Thread below 👇👇👇 1/4

Our paper introducing Alternators has been accepted at TMLR. Alternators are a new class of generative models that outperform state-space models, such as Mambas, and diffusion models such as ScoreGrad. Check it out!
Paper: arxiv.org/abs/2405.11848
Code: github.com/vertaix/Alternators
#MLSky #Vertaix

Meet another one of our graduating undergrads, Aminah Aliu🐯🧡

For her thesis, Aminah leveraged the Vendi Score & the Vendiscope to study embedding models on Yoruba datasets.

She was 1 of four Princeton students nominated for the CRA Undergraduate Research Award and won an honorable mention. 1/2

The Princeton Class of 2025 is being hooded today. Meet one of our graduating undergrads, Ian Fernandes! He worked on modeling SEPs using Machine Learning at NASA. He's joining Microsoft. Congratulations, Ian, we are proud of you 🐯🧡 #Vertaix #AI4Science

#NewPaper We revisit Shannon's mutual information, highlight its shortcomings, and propose a novel alternative to it, called the Vendi Information Gain (VIG), using the Vendi Score. #InformationTheory #Diversity
By: Quan Nguyen & @adjiboussodieng.bsky.social
Link to paper: arxiv.org/abs/2505.09007

#NewPaper We designed an "algorithmic microscope" & called it the Vendiscope. It is a new companion in the discovery process for scientists across fields and a powerful tool for diagnosing datasets and models for AI researchers. #AlgorithmicMicroscopy

Link to paper: arxiv.org/abs/2502.10828

#NewPaper How do you design generative models for sequence data that are robust to varying noise levels in time? Use the Vendi Score! Check out our new paper introducing the $\alpha$-Alternator, which outperforms popular models such as Mambas on forecasting.

Link to paper: arxiv.org/abs/2502.04593

Our Aminah Aliu won an honorable mention at the 2024-2025 CRA Outstanding Undergraduate Researcher Award 🧡🐯 "This prestigious honor recognizes undergraduate students at North American colleges and universities who demonstrate exceptional potential in computing research." #CRAAwards #Vertaix

Our
@andreniyongabo.bsky.social will be @neuripsconf.bsky.social presenting LLM4Mat-Bench at the AI4Mat Workshop ✨ LLM4Mat-Bench is the largest text benchmark for training LLMs for materials property prediction. #NLP4Science

🖇️Paper: arxiv.org/abs/2411.00177
💻Code: github.com/vertaix/LLM4...

Our @adjiboussodieng.bsky.social was one of the panelists discussing AI and Climate during Princeton's Andlinger Center's annual meeting. You can find a nice article summarizing this exciting event below: acee.princeton.edu/acee-news/an... #AI4Science #ClimateSky #Climate #Vertaix

Have you been wondering how your favorite LLM, e.g. Llama, Mistral, or Gemma performs on materials property prediction? We have just released LLM4Mat-Bench, the largest benchmark for materials property prediction with LLMs! #ChemSky

Paper: arxiv.org/abs/2411.00177
Code: github.com/vertaix/LLM4...

Our VBO paper is now published in RSC Chemical Science
✨ This paper combines the Vendi Score with BayesOpt to discover novel MOFs. We discovered thermally stable & energy-efficient MOFs with a high storage capacity for NH3. #ChemSky #AI

Code: github.com/vertaix/VBO
Paper: doi.org/10.1039/D4SC...