Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York.
Int. J. Medical Informatics, January, 2024
Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning.
CoRR, 2024
Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling.
CoRR, 2024
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology.
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CoRR, 2024
On the Capacity of Scalar Gaussian Channels Subject to State Obfuscation.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024
On reliable computation over larger alphabets.
CoRR, 2023
Information-Ordered Bottlenecks for Adaptive Semantic Compression.
CoRR, 2023
WikiWhy: Answering and Explaining Cause-and-Effect Questions.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Quantum-inspired identification of complex cellular automata.
CoRR, 2021
Robust inference of memory structure for efficient quantum modelling of stochastic processes.
CoRR, 2019
Leveraging interference for increasing throughput and reliability of commercial wireless femtocells.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
Information theoretic upper bounds on the number of distinguishable classes.
Proceedings of the 2013 Asilomar Conference on Signals, 2013
Towards program optimization through automated analysis of numerical precision.
Proceedings of the CGO 2010, 2010