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Victor Akinwande
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2020 – today
- 2024
- [c12]Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter:
Understanding prompt engineering may not require rethinking generalization. ICLR 2024 - [c11]Victor Akinwande, Megan MacGregor, Celia Cintas, Ehud Karavani, Dennis Wei, Kush R. Varshney, Pablo A. Nepomnaschy:
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa. IJCAI 2024: 7161-7169 - [i8]Victor Akinwande, J. Zico Kolter:
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs. CoRR abs/2403.03772 (2024) - [i7]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:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - 2023
- [j2]William Ogallo, Irene Wanyana, Girmaw Abebe Tadesse, Catherine Wanjiru, Victor Akinwande, Steven Kabwama, Sekou Lionel Remy
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. 30(4): 634-642 (2023) - [i6]Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang:
Partial Identifiability for Domain Adaptation. CoRR abs/2306.06510 (2023) - [i5]Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter:
Understanding prompt engineering may not require rethinking generalization. CoRR abs/2310.03957 (2023) - 2022
- [j1]Celia Cintas
Pattern detection in the activation space for identifying synthesized content. Pattern Recognit. Lett. 153: 207-213 (2022) - [c10]Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman:
Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention. AMIA 2022 - [c9]Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang:
Partial disentanglement for domain adaptation. ICML 2022: 11455-11472 - 2021
- [c8]Vesna Resende Barros, Victor Akinwande, Itay Manes, Osnat Bar-Shira, Celia Cintas, Yishai Shimoni, Michal Rosen-Zvi:
Towards effect estimation of COVID-19 Non-pharmaceutical Interventions. AMIA 2021 - [c7]Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam:
Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies. AMIA 2021 - [c6]Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill:
Automatic Stratification of Tabular Health Data. AMIA 2021 - [i4]Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen:
Towards creativity characterization of generative models via group-based subset scanning. CoRR abs/2104.00479 (2021) - [i3]Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam:
Pattern Detection in the Activation Space for Identifying Synthesized Content. CoRR abs/2105.12479 (2021) - 2020
- [c5]William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott, Charity Wayua, Komminist Weldemariam, Claire-Helene Mershon, Nosa Orobaton:
Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning. AMIA 2020 - [c4]Celia Cintas
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error. IJCAI 2020: 876-882 - [c3]William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam:
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health. IJCAI 2020: 5282-5284 - [c2]Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam:
Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation. IJCAI 2020: 5288-5290 - [i2]Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan:
Identifying Audio Adversarial Examples via Anomalous Pattern Detection. CoRR abs/2002.05463 (2020)
2010 – 2019
- 2019
- [c1]Celia Cintas
Towards neural abstractive clinical trial text summarization with sequence to sequence models. ICHI 2019: 1-3 - 2017
- [i1]Victor Akinwande, Sekou L. Remy:
Characterizing the hyper-parameter space of LSTM language models for mixed context applications. CoRR abs/1712.03199 (2017)
Coauthor Index
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