Characterizing the hyper-parameter space of LSTM language models for mixed context applications. - Victor Akinwande; Sekou L. Remy (CoRR, 2017)

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 (ICHI, 2019)

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 (AMIA, 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 (IJCAI, 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 (IJCAI, 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 (IJCAI, 2020)

Identifying Audio Adversarial Examples via Anomalous Pattern Detection. - Victor Akinwande; Celia Cintas; Skyler Speakman; Srihari Sridharan (CoRR, 2020)

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 (AMIA, 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 (AMIA, 2021)

Automatic Stratification of Tabular Health Data. - Skyler Speakman; Girmaw Abebe Tadesse; Victor Akinwande; William Ogallo; Claire-Helene Mershon; Nosa Orobaton; Daniel B. Neill (AMIA, 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)

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 (AMIA, 2022)

Partial disentanglement for domain adaptation. - Lingjing Kong; Shaoan Xie; Weiran Yao; Yujia Zheng 001; Guangyi Chen 002; Petar Stojanov; Victor Akinwande; Kun Zhang 001 (ICML, 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 Identifiability for Domain Adaptation. - Lingjing Kong; Shaoan Xie; Weiran Yao; Yujia Zheng 001; Guangyi Chen 002; Petar Stojanov; Victor Akinwande; Kun Zhang 001 (CoRR, 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; et al. (J. Am. Medical Informatics Assoc., 2023)

Understanding prompt engineering may not require rethinking generalization. - Victor Akinwande; Yiding Jiang; Dylan Sam; J. Zico Kolter (ICLR, 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 (IJCAI, 2024)

AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs. - Victor Akinwande; J. Zico Kolter (CoRR, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

HyperCLIP: Adapting Vision-Language models with Hypernetworks. - Victor Akinwande; Mohammad Sadegh Norouzzadeh; Devin Willmott; Anna Bair; Madan Ravi Ganesh; J. Zico Kolter (CoRR, 2024)