- Aadirupa Saha, Aldo Pacchiano, Jonathan Lee:
Dueling RL: Reinforcement Learning with Trajectory Preferences. AISTATS 2023: 6263-6289 - Alex Richardson, Matthew Walter Nice
, Matt Bunting
, Jonathan W. Lee, Rahul Bhadani, Daniel B. Work
, Jonathan Sprinkle:
Analysis of a Runtime Data Sharing Architecture over LTE for a Heterogeneous CAV Fleet. CPS-IoT Week Workshops 2023: 164-169 - Cong Xu, Yuhang Li, Dae Lee, Dae Hoon Park, Hongda Mao, Huyen Do, Jonathan Chung, Dinesh Nair:
Augmentation Robust Self-Supervised Learning for Human Activity Recognition. ICASSP 2023: 1-5 - Aakansha Narain
, Zhiyong Huang
, Jonathan Wei Jie Lee
:
A Computer Vision Based Colonoscopy Support System for Real-Time Monitoring of Bowel Preparation and Colonic Anatomical Localization. ICBSP 2023: 71-76 - Matthew Nice
, Matthew R. Bunting
, Gergely Zachár, Rahul Bhadani, Paul Ngo
, Jonathan W. Lee, Alexandre M. Bayen
, Dan Work
, Jonathan Sprinkle:
Parameter Estimation for Decoding Sensor Signals. ICCPS 2023: 253-255 - Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang:
Learning in POMDPs is Sample-Efficient with Hindsight Observability. ICML 2023: 18733-18773 - Jaeyeon Lee, Ethan Quist, Jonathan Chambers, Michael Yip, Nathan Fisher:
Contactless Weight Estimation of Human Body and Body Parts for Safe Robotics-Assisted Casualty Extraction. IROS 2023: 6550-6556 - Nathan Lichtlé, Kathy Jang, Adit Shah, Eugene Vinitsky, Jonathan W. Lee, Alexandre M. Bayen:
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data. ITSC 2023: 4346-4351 - Oliver Alan Kannape
, Jonathan Pierret, Robert Leeb, Sylvain Cardin, Fabien Bourban, Skander Mensi, Yann Lebrun, Nicolas Merlini, Alexis Dorier
, Vincent Moriot, Amélie Touillet, Andrea Serino:
A Stand-Alone Augmented Reality Intervention for Chronic Pain Using Embodied Systolic Stimulation. NER 2023: 1-6 - Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill:
Supervised Pretraining Can Learn In-Context Reinforcement Learning. NeurIPS 2023 - Aldo Pacchiano, Jonathan Lee, Emma Brunskill:
Experiment Planning with Function Approximation. NeurIPS 2023 - Jaeyeon Lee, Ethan Quist, Jonathan Chambers, Justin Peel, Kelly Roman, Nathan Fisher:
Vision-based Human Identification with Face and Nametape Recognition in Aerial Casualty Monitoring System. RO-MAN 2023: 1655-1660 - Jonathan Chang, Yen-Huei Chen, Gary Chan, Kuo-Cheng Lin, Po-Sheng Wang, Yangsyu Lin, Sevic Chen, Peijiun Lin, Ching-Wei Wu, Chih-Yu Lin, Yi-Hsin Nien, Hidehiro Fujiwara, Atul Katoch, Robin Lee, Hung-Jen Liao, Jhon-Jhy Liaw, Shien-Yang Michael Wu, Quincy Li:
A 3nm 256Mb SRAM in FinFET Technology with New Array Banking Architecture and Write-Assist Circuitry Scheme for High-Density and Low-VMIN Applications. VLSI Technology and Circuits 2023: 1-2 - Essam Heggy
, Jonathan C. L. Normand
, Elizabeth M. Palmer
, Giovanni Scabbia
, Ali K. S. Al-Maktoumi
, Annamaria Mazzoni
, J. Lee Blanton, Sophie J. N. Schaefer:
Probing Shallow Aquifers in Hyper-Arid Dune Fields Using VHF Sounding Radar: Raw ground-penetrating radar (GPR) data. IEEE DataPort, 2023 ![Please note:
▪ Dataset publications in dblp are still work in progress.
▪ Indexing of datasets will remain quite incomplete for a while.
▪ Aspects of how we handle dataset publications can and will change.
Hence, please be patient with us. We are working on it. :) note: work in progress](https://dblp.uni-trier.de/img/faq-mark.dark.12x12.png)
- Jonathan N. Lee, Alekh Agarwal, Christoph Dann, Tong Zhang:
Learning in POMDPs is Sample-Efficient with Hindsight Observability. CoRR abs/2301.13857 (2023) - Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev
, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran
, Miguel Ángel González Ballester, Gustavo Carneiro
, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - Jan Ernsting, Nils R. Winter, Ramona Leenings, Kelvin Sarink, Carlotta B. C. Barkhau, Lukas Fisch, Daniel Emden, Vincent Holstein, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, NAKO Investigators, Klaus Berger, Benjamin Risse, Udo Dannlowski, Tim Hahn:
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling. CoRR abs/2302.05304 (2023) - Jonathan N. Lee, Weihao Kong, Aldo Pacchiano, Vidya Muthukumar, Emma Brunskill:
Estimating Optimal Policy Value in General Linear Contextual Bandits. CoRR abs/2302.09451 (2023) - Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan S. Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci:
JaxPruner: A concise library for sparsity research. CoRR abs/2304.14082 (2023) - Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. CoRR abs/2305.03270 (2023) - Sung Une Lee, Harsha Perera, Boming Xia, Yue Liu, Qinghua Lu, Liming Zhu, Olivier Salvado, Jon Whittle:
QB4AIRA: A Question Bank for AI Risk Assessment. CoRR abs/2305.09300 (2023) - John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai:
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence. CoRR abs/2306.07075 (2023) - Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess:
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR abs/2306.11706 (2023) - Jonathan N. Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill:
Supervised Pretraining Can Learn In-Context Reinforcement Learning. CoRR abs/2306.14892 (2023) - Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR abs/2306.16740 (2023) - Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell:
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. CoRR abs/2308.12061 (2023) - Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Satheesh Katipomu, Haonan Li, Fajri Koto, Osama Mohammed Afzal, Samta Kamboj, Onkar Pandit, Rahul Pal, Lalit Pradhan, Zain Muhammad Mujahid, Massa Baali, Alham Fikri Aji, Zhengzhong Liu, Andy Hock, Andrew Feldman, Jonathan Lee, Andrew Jackson, Preslav Nakov, Timothy Baldwin, Eric P. Xing:
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. CoRR abs/2308.16149 (2023) - Nour Khoudari, Sulaiman Almatrudi, Rabie Ramadan, Joy Carpio, Mengsha Yao, Kenneth Butts, Alexandre M. Bayen, Jonathan W. Lee, Benjamin Seibold:
Reducing Detailed Vehicle Energy Dynamics to Physics-Like Models. CoRR abs/2310.06297 (2023) - Amaury Hayat
, Arwa Alanqary, Rahul Bhadani, Christopher Denaro, Ryan J. Weightman, Shengquan Xiang, Jonathan W. Lee, Matthew R. Bunting, Anish Gollakota, Matthew Walter Nice, Derek Gloudemans, Gergely Zachár, Jon F. Davis, Maria Laura Delle Monache, Benjamin Seibold, Alexandre M. Bayen, Jonathan Sprinkle, Daniel B. Work, Benedetto Piccoli:
Traffic smoothing using explicit local controllers. CoRR abs/2310.18151 (2023)