Victor Akinwande

According to our database, Victor Akinwande authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs.

Victor Akinwande, J. Zico Kolter

CoRR, 2024

Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa.

Victor Akinwande, Megan MacGregor, Celia Cintas, Ehud Karavani, Dennis Wei, Kush R. Varshney, Pablo A. Nepomnaschy

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Understanding prompt engineering may not require rethinking generalization.

Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter

Proceedings of the Twelfth International Conference on Learning Representations, 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.

William Ogallo, Irene Wanyana, Girmaw Abebe Tadesse, Catherine Wanjiru, Victor Akinwande, Steven Kabwama, Sekou Lionel Remy, Charles Wachira, Sharon Okwako, Susan Kizito, Rhoda Wanyenze, Suzanne Kiwanuka, Aisha Walcott-Bryant

J. Am. Medical Informatics Assoc., March, 2023

Partial Identifiability for Domain Adaptation.

Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

CoRR, 2023

2022

Pattern detection in the activation space for identifying synthesized content.

Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam

Pattern Recognit. Lett., 2022

Partial disentanglement for domain adaptation.

Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

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.

Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman

Proceedings of the AMIA 2022, 2022

2021

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

Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen

CoRR, 2021

Automatic Stratification of Tabular Health Data.

Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill

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.

Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam

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.

Vesna Resende Barros, Victor Akinwande, Itay Manes, Osnat Bar-Shira, Celia Cintas, Yishai Shimoni, Michal Rosen-Zvi

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.

Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan

CoRR, 2020

Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health.

William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error.

Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation.

Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam

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.

William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott, Charity Wayua, Komminist Weldemariam, Claire-Helene Mershon, Nosa Orobaton

Proceedings of the AMIA 2020, 2020

2019

Towards neural abstractive clinical trial text summarization with sequence to sequence models.

Celia Cintas, William Ogallo, Aisha Walcott, Sekou L. Remy, Victor Akinwande, Samuel Osebe

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.

Victor Akinwande, Sekou L. Remy

CoRR, 2017