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Syed Asad Rizvi
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2020 – today
- 2024
- [j1]Tinglin Huang, Syed Asad Rizvi, Rohan Krishna Thakur, Vimig Socrates, Meili Gupta, David van Dijk, R. Andrew Taylor, Rex Ying:
HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer. J. Biomed. Informatics 159: 104741 (2024) - [c3]Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk:
BrainLM: A foundation model for brain activity recordings. ICLR 2024 - [c2]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, Insu Han, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, Amin Karbasi, Rahul Madhav Dhodapkar, David van Dijk:
Cell2Sentence: Teaching Large Language Models the Language of Biology. ICML 2024 - [i6]Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk:
Intelligence at the Edge of Chaos. CoRR abs/2410.02536 (2024) - [i5]Sizhuang He, Daniel LeVine, Ivan Vrkic, Marco Francesco Bressana, David Zhang, Syed Asad Rizvi, Yangtian Zhang, Emanuele Zappala, David van Dijk:
CaLMFlow: Volterra Flow Matching using Causal Language Models. CoRR abs/2410.05292 (2024) - 2023
- [i4]Emanuele Zappala, Daniel LeVine, Sizhuang He, Syed Asad Rizvi, Sacha Levy, David van Dijk:
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods. CoRR abs/2310.01618 (2023) - [i3]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, Vitoantonio Bevilacqua, Nicola Altini, Bernd Schröppel, Dario Roccatello, Antonella Barreca, Savino Sciascia, Chandra Mohan, Hien Van Nguyen, Jan U. Becker:
Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs). CoRR abs/2311.14971 (2023) - 2022
- [i2]Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk:
AMPNet: Attention as Message Passing for Graph Neural Networks. CoRR abs/2210.09475 (2022) - [i1]Syed Asad Rizvi, Akash Awasthi, Maria J. Peláez, Zhihui Wang, Vittorio Cristini, Hien Van Nguyen, Prashant Dogra:
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics. CoRR abs/2210.10888 (2022) - 2021
- [c1]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, Hien Van Nguyen:
MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors. MICCAI (8) 2021: 319-328
Coauthor Index
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last updated on 2024-12-02 22:27 CET by the dblp team
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