Ali Hasan

Orcid: 0000-0003-2963-2573

According to our database1, Ali Hasan authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions.
CoRR, 2024

Base Models for Parabolic Partial Differential Equations.
CoRR, 2024

Physiological and chaos effect on dynamics of neurological disorder with memory effect of fractional operator: A mathematical study.
Comput. Methods Programs Biomed., 2024

Computational techniques to monitoring fractional order type-1 diabetes mellitus model for feedback design of artificial pancreas.
Comput. Methods Programs Biomed., 2024

A Framework for Assurance Audits of Algorithmic Systems.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Transmission dynamics of fractional order yellow virus in red chili plants with the Caputo-Fabrizio operator.
Math. Comput. Simul., May, 2023

Epidemiological Analysis of Symmetry in Transmission of the Ebola Virus with Power Law Kernel.
Symmetry, February, 2023

PrACTiS: Perceiver-Attentional Copulas for Time Series.
CoRR, 2023

Individual Treatment Effects in Extreme Regimes.
CoRR, 2023

Inference and sampling of point processes from diffusion excursions.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Characteristic Neural Ordinary Differential Equation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Algorithmic Bias and Risk Assessments: Lessons from Practice.
Digit. Soc., September, 2022

Identifying Latent Stochastic Differential Equations.
IEEE Trans. Signal Process., 2022

Water Cycle Algorithm (WCA): A New Technique to Harvest Maximum Power from PV.
Cybern. Syst., 2022

Modeling extremes with d-max-decreasing neural networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Inference and Sampling for Archimax Copulas.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
The algorithm audit: Scoring the algorithms that score us.
Big Data Soc., January, 2021

Characteristic Neural Ordinary Differential Equations.
CoRR, 2021

Deep Extreme Value Copulas for Estimation and Sampling.
CoRR, 2021

Generative Archimedean copulas.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Fisher Auto-Encoders.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Learning latent stochastic differential equations with variational auto-encoders.
CoRR, 2020

Learning Partial Differential Equations From Data Using Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
The impact of short-term incentives on physical activity in a UK behavioural incentives programme.
npj Digit. Medicine, 2019

2017
Image-based immersed boundary model of the aortic root.
CoRR, 2017


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