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Publication search results
found 1,113 matches
- 2024
- Eric J. Earley, Nathaly Sánchez Chan, Autumn A. Naber, Enzo Mastinu, Minh Tat Nhat Truong, Max Ortiz-Catalan:
Low-Cost, Wireless Bioelectric Signal Acquisition and Classification Platform. IEEE Access 12: 69350-69358 (2024) - Yin-Chi Chan, Jingjin Wu, Eric W. M. Wong, Chi Sing Leung:
Integrating teletraffic theory with neural networks for quality-of-service evaluation in mobile networks. Appl. Soft Comput. 152: 111208 (2024) - Zhongqian Wang, Changqing Ye, Eric T. Chung:
A multiscale method for inhomogeneous elastic problems with high contrast coefficients. J. Comput. Appl. Math. 436: 115397 (2024) - Eric Plitman, Edward Kim, Rajesh Patel, Seema Kohout, Rongyu Jin, Vincent Chan, Michael Dinsmore:
Development of an Automated and Scalable Virtual Assistant to Aid in PPE Adherence: A Study with Implications for Applications within Anesthesiology. J. Medical Syst. 48(1): 7 (2024) - Lena J. Skalaban, Ivan Chan, Kristina M. Rapuano, Qi Lin, May I. Conley, Richard Watts, Erica L. Busch, Vishnu P. Murty, B. J. Casey:
Representational Dissimilarity of Faces and Places during a Working Memory Task is Associated with Subsequent Recognition Memory during Development. J. Cogn. Neurosci. 36(3): 415-434 (2024) - Sensen Xing, Cheng Wang, Wei Wang, Rui Feng Cao, Anthony Chun Yin Yuen, Eric Wai Ming Lee, Guan Heng Yeoh, Qing Nian Chan:
A fine discrete floor field cellular automaton model with natural step length for pedestrian dynamics. Simul. Model. Pract. Theory 130: 102841 (2024) - Eric Wagner, Martin Serror, Klaus Wehrle, Martin Henze:
When and How to Aggregate Message Authentication Codes on Lossy Channels? ACNS (2) 2024: 241-264 - Anshul Varma, Sumanth Gururajarao, HsinChen Chen, Tao Chen, Gordon Gammie, Hugh Mair, Jen-Hang Yang, Hao-Hsiang Yu, Shun-Chieh Chang, Cheng-Hao Yang, Li-An Huang, Kumar Ramanathan, Ramesh Halli, Efron Ho, Ta-Wen Hung, Sung S.-Y. Hsueh, LiangChe Li, Achuta Thippana, Ericbill Wang, Sa Hwang:
2.1 A 4nm 3.4GHz Tri-Gear Fully Out-of-Order ARMv9.2 CPU Subsystem-Based 5G Mobile SoC. ISSCC 2024: 36-38 - Kenneth H. Chan, Sol Zilberman, Nick Polanco, Joshua E. Siegel, Betty H. C. Cheng:
SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles. SEAMS@ICSE 2024: 214-220 - Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang:
Exploring Diffusion Time-steps for Unsupervised Representation Learning. CoRR abs/2401.11430 (2024) - Gagan Khandate, Tristan Luca Saidi, Siqi Shang, Eric T. Chang, Yang Liu, Seth Dennis, Johnson Adams, Matei T. Ciocarlie:
R×R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training. CoRR abs/2401.15484 (2024) - Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau:
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. CoRR abs/2402.10963 (2024) - Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu:
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR abs/2402.16822 (2024) - Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen:
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. CoRR abs/2402.17043 (2024) - Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu:
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR abs/2403.04642 (2024) - Michael A. Perlin, Ruslan Shaydulin, Benjamin P. Hall, Pierre Minssen, Changhao Li, Kabir Dubey, Richard Rines, Eric R. Anschütz, Marco Pistoia, Pranav Gokhale:
Q-CHOP: Quantum constrained Hamiltonian optimization. CoRR abs/2403.05653 (2024) - Syeda Nahida Akter, Sangwu Lee, Yingshan Chang, Yonatan Bisk, Eric Nyberg:
VISREAS: Complex Visual Reasoning with Unanswerable Questions. CoRR abs/2403.10534 (2024) - Changqing Ye, Shubin Fu, Eric T. Chung, Jizu Huang:
An efficient multiscale multigrid preconditioner for Darcy flow in high-contrast media. CoRR abs/2403.19342 (2024) - Changqing Ye, Shubin Fu, Eric T. Chung, Jizu Huang:
A robust two-level overlapping preconditioner for Darcy flow in high-contrast media. CoRR abs/2403.19356 (2024) - Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang:
Event Detection from Social Media for Epidemic Prediction. CoRR abs/2404.01679 (2024) - Changqing Ye, Shubin Fu, Eric T. Chung:
A fast cosine transformation accelerated method for predicting effective thermal conductivity. CoRR abs/2404.02433 (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 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) - Motahhare Eslami, Eric Gilbert, Sarita Schoenebeck, Eric P. S. Baumer, Eshwar Chandrasekharan, Michelle De Mooy, Karrie Karahalios, David R. Karger, Tressie McMillan Cottom, Andrés Monroy-Hernández, Loren Terveen, John Wihbey:
The Future of Research on Social Technologies: CCC Workshop Visioning Report. CoRR abs/2404.10897 (2024) - Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie C. Y. Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal M. P. Behbahani, Aleksandra Faust, Hugo Larochelle:
Many-Shot In-Context Learning. CoRR abs/2404.11018 (2024) - Dominic Maggio, Yun Chang, Nathan Hughes, Matthew Trang, J. Daniel Griffith, Carlyn Dougherty, Eric Cristofalo, Lukas Schmid, Luca Carlone:
Clio: Real-time Task-Driven Open-Set 3D Scene Graphs. CoRR abs/2404.13696 (2024) - Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR abs/2405.07387 (2024) - Eric Graves, Jake B. Perazzone, Kevin S. Chan:
Optimal Update Policy for the Monitoring of Distributed Sources. CoRR abs/2405.11089 (2024) - 2023
- Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos:
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach. Artif. Intell. 320: 103920 (2023)
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