Victor Akinwande

According to our database1, Victor Akinwande authored at least 18 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs.
CoRR, 2024

2023
Quantifying the impact of COVID-19 on essential health services: a comparison of interrupted time series analysis using Prophet and Poisson regression models.
J. Am. Medical Informatics Assoc., March, 2023

Understanding prompt engineering may not require rethinking generalization.
CoRR, 2023

Partial Identifiability for Domain Adaptation.
CoRR, 2023

2022
Pattern detection in the activation space for identifying synthesized content.
Pattern Recognit. Lett., 2022

Partial disentanglement for domain adaptation.
Proceedings of the International Conference on Machine Learning, 2022

Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention.
Proceedings of the AMIA 2022, 2022

2021
Towards creativity characterization of generative models via group-based subset scanning.
CoRR, 2021

Automatic Stratification of Tabular Health Data.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Towards effect estimation of COVID-19 Non-pharmaceutical Interventions.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Identifying Audio Adversarial Examples via Anomalous Pattern Detection.
CoRR, 2020

Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.
Proceedings of the AMIA 2020, 2020

2019
Towards neural abstractive clinical trial text summarization with sequence to sequence models.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2017
Characterizing the hyper-parameter space of LSTM language models for mixed context applications.
CoRR, 2017


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