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Publication search results
found 551 matches
- 2024
- Thomas G. Brooks, Nicholas F. Lahens, Antonijo Mrcela, Dimitra Sarantopoulou, Soumyashant Nayak, Amruta Naik, Shaon Sengupta, Peter S. Choi, Gregory R. Grant:
BEERS2: RNA-Seq simulation through high fidelity in silico modeling. Briefings Bioinform. 25(3) (2024) - Oded Schlesinger, Raj Kundu, Dmitry Isaev, Jessica Y. Choi, Stefan M. Goetz, Dennis A. Turner, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino:
Scalp surface estimation and head registration using sparse sampling and 3D statistical models. Comput. Biol. Medicine 178: 108689 (2024) - Peter Lenk, Jangwon Lee, Dongu Han, Jichan Park, Taeryon Choi:
Hierarchical Bayesian spectral regression with shape constraints for multi-group data. Comput. Stat. Data Anal. 200: 108036 (2024) - Kirstin Peters, Nobuko Yoshida:
Mixed choice in session types. Inf. Comput. 298: 105164 (2024) - Peter Graffy, Lindsay P. Zimmerman, Yuan Luo, Jingzhi Yu, Yuni Choi, Rachel Zmora, Donald Lloyd-Jones, Norrina B. Allen:
Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study. J. Am. Medical Informatics Assoc. 31(2): 406-415 (2024) - Stephen Choi:
In memory of Peter Borwein. J. Approx. Theory 303: 106072 (2024) - Aditya Aradhye, Hans Peters:
Group strategy-proof rules in multidimensional binary domains. Soc. Choice Welf. 63(1): 103-124 (2024) - Xinhang Lu, Jannik Peters, Haris Aziz, Xiaohui Bei, Warut Suksompong:
Approval-based voting with mixed goods. Soc. Choice Welf. 62(4): 643-677 (2024) - Xinhang Lu, Jannik Peters, Haris Aziz, Xiaohui Bei, Warut Suksompong:
Correction: Approval-based voting with mixed goods. Soc. Choice Welf. 62(4): 679 (2024) - Xiaoyu Zheng, Peter Palffy-Muhoray:
Comment on Choi, M.G. Computing the Closest Approach Distance of Two Ellipsoids. Symmetry 2020, 12, 1302. Symmetry 16(4): 419 (2024) - Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi:
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. AAAI 2024: 19937-19947 - Lianlong Wu, Seewon Choi, Daniel Raggi, Aaron Stockdill, Grecia Garcia Garcia, Fiorenzo Colarusso, Peter C.-H. Cheng, Mateja Jamnik:
Generation of Visual Representations for Multi-Modal Mathematical Knowledge. AAAI 2024: 23850-23852 - Victoria Yaneva, Kai North, Peter Baldwin, Le An Ha, Saed Rezayi, Yiyun Zhou, Sagnik Ray Choudhury, Polina Harik, Brian Clauser:
Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions. BEA 2024: 470-482 - Sune Lundø Sørensen, Lakshadeep Naik, Peter Khiem Duc Tinh Nguyen, Aljaz Kramberger, Leon Bodenhagen, Mikkel Baun Kjærgaard, Norbert Krüger:
Planning Base Poses and Object Grasp Choices for Table-Clearing Tasks Using Dynamic Programming. ICAART (3) 2024: 1316-1323 - Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". ICLR 2024 - Rafael F. Rincon, Lynn M. Carter, David M. Hollibaugh-Baker, Cornelis F. Du Toit, Martin Perrine, Peter Steigner, Babak Farrokh, Michael Choi, Steve Van Nostrand, Nga Cao, Emileigh Shoemaker:
Space Exploration Synthetic Aperture Radar - Lunar Investigations Targeted Experiment (SESAR-LITE). IGARSS 2024: 6294-6298 - Kirstin Peters, Nobuko Yoshida:
Separation and Encodability in Mixed Choice Multiparty Sessions. LICS 2024: 62:1-62:15 - Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi:
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. NAACL-HLT 2024: 4439-4454 - Peter A. M. Ruijten, Jaap Ham, Nienke de Jongh:
A serious game for promoting sustainable food choices. PERSUASIVE (Adjunct) 2024: 110-111 - Alexander Zhou, Zelong Liu, Andrew Tieu, Nikhil Patel, Sean Sun, Anthony Yang, Peter Choi, Valentin Fauveau, George Soultanidis, Mingqian Huang, Amish Doshi, Zahi A. Fayad, Timothy Deyer, Xueyan Mei:
MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation. CoRR abs/2402.01031 (2024) - Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi:
Information-Theoretic Distillation for Reference-less Summarization. CoRR abs/2403.13780 (2024) - Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger:
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR abs/2404.09932 (2024) - Kirstin Peters, Nobuko Yoshida:
Separation and Encodability in Mixed Choice Multiparty Sessions (Technical Report). CoRR abs/2405.08104 (2024) - Peter J. Bentley, Rajat Mathur, Soo Ling Lim, Sid Narang:
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration. CoRR abs/2405.12934 (2024) - Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- Rodrigo A. Freire, Peter Holy:
An ordinal-connection axiom as a weak form of global choice under the GCH. Arch. Math. Log. 62(3-4): 321-332 (2023) - Farzan Faninam, Kuno J. M. Huisman, Peter M. Kort:
Strategic investment under uncertainty in a triopoly market: Timing and capacity choice. Eur. J. Oper. Res. 308(2): 897-911 (2023) - John Adeoye, Mohamad Koohi-Moghadam, Siu-Wai Choi, Li-Wu Zheng, Anthony Wing Ip Lo, Raymond King-Yin Tsang, Velda Ling Yu Chow, Abdulwarith Akinshipo, Peter Thomson, Yu-Xiong Su:
Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning. J. Big Data 10(1): 39 (2023) - Linda S. Reitz, Peter C. Müller, David Schnieders, Richard Dronskowski, Woon Ih Choi, Won-Joon Son, Inkook Jang, Dae Sin Kim:
On the atomistic origin of the polymorphism and the dielectric physical properties of beryllium oxide. J. Comput. Chem. 44(10): 1052-1063 (2023) - Jodie P. Gray, Jordi Manuello, Aaron Alexander-Bloch, Cassandra Leonardo, Crystal Franklin, Ki Sueng Choi, Franco Cauda, Tommaso Costa, John Blangero, David C. Glahn, Helen S. Mayberg, Peter T. Fox:
Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects. Neuroinformatics 21(2): 443-455 (2023)
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