MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors. - Pietro Antonio Cicalese; Syed Asad Rizvi; Victor Wang; Sai Patibandla; Pengyu Yuan; Samira Zare; Katharina Moos; Ibrahim Batal; Marian Clahsen-van Groningen; Candice Roufosse; Jan U. Becker; Chandra Mohan; et al. (MICCAI (8), 2021)

AMPNet: Attention as Message Passing for Graph Neural Networks. - Syed Asad Rizvi; Nhi Nguyen; Haoran Lyu; Ben Christensen; Josue Ortega Caro; Emanuele Zappala; Maria Brbic; Rahul Madhav Dhodapkar; David van Dijk (CoRR, 2022)

Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics. - Syed Asad Rizvi; Akash Awasthi; Maria J. Peláez; Zhihui Wang 008; Vittorio Cristini; Hien Van Nguyen; Prashant Dogra (CoRR, 2022)

Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods. - Emanuele Zappala; Daniel LeVine; Sizhuang He; Syed Asad Rizvi; Sacha Levy; David van Dijk (CoRR, 2023)

Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs). - Huy Q. Vo; Pietro Antonio Cicalese; Surya Seshan; Syed Asad Rizvi; Aneesh Vathul; Gloria Bueno; Aníbal Pedraza Dorado; Niels Grabe; Katharina Stolle; Francesco Pesce; Joris J. T. H. Roelofs; Jesper Kers; et al. (CoRR, 2023)

BrainLM: A foundation model for brain activity recordings. - Josue Ortega Caro; Antonio Henrique de Oliveira Fonseca; Syed Asad Rizvi; Matteo Rosati; Christopher L. Averill; James L. Cross; Prateek Mittal; Emanuele Zappala; Rahul Madhav Dhodapkar; Chadi Abdallah; David van Dijk (ICLR, 2024)

Cell2Sentence: Teaching Large Language Models the Language of Biology. - Daniel LeVine; Syed Asad Rizvi; Sacha Lévy; Nazreen Pallikkavaliyaveetil; David Zhang; Xingyu Chen; Sina Ghadermarzi; Ruiming Wu; Zihe Zheng; Ivan Vrkic; Anna Zhong; Daphne Raskin; et al. (ICML, 2024)

CaLMFlow: Volterra Flow Matching using Causal Language Models. - Sizhuang He; Daniel LeVine; Ivan Vrkic; Marco Francesco Bressana; David Zhang; Syed Asad Rizvi; Yangtian Zhang; Emanuele Zappala; David van Dijk (CoRR, 2024)

HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer. - Tinglin Huang; Syed Asad Rizvi; Rohan Krishna Thakur; Vimig Socrates; Meili Gupta; David van Dijk; R. Andrew Taylor; Rex Ying (J. Biomed. Informatics, 2024)

Intelligence at the Edge of Chaos. - Shiyang Zhang; Aakash Patel; Syed Asad Rizvi; Nianchen Liu; Sizhuang He; Amin Karbasi; Emanuele Zappala; David van Dijk (ICLR, 2025)

Non-Markovian Discrete Diffusion with Causal Language Models. - Yangtian Zhang; Sizhuang He; Daniel LeVine; Lawrence Zhao; David Zhang; Syed Asad Rizvi; Emanuele Zappala; Rex Ying; David van Dijk (CoRR, 2025)