| 2025 | AISTATS | Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices. | Chanwoo Chun, SueYeon Chung, Daniel D. Lee |
| 2023 | IROS | AmbiSense: Acoustic Field Based Blindspot-Free Proximity Detection and Bearing Estimation. | Siddharth Rupavatharam, Xiaoran Fan, Caleb Escobedo, Daewon Lee, Larry D. Jackel, Richard E. Howard, Colin Prepscius, Daniel D. Lee, Volkan Isler |
| 2022 | AAAI | Cooperative Multi-Agent Fairness and Equivariant Policies. | Niko A. Grupen, Bart Selman, Daniel D. Lee |
| 2022 | IROS | Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation. | Nikhil Chavan Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D. Lee, Volkan Isler |
| 2022 | IROS | Learning from Demonstration using a Curvature Regularized Variational Auto-Encoder (CurvVAE). | Travers Rhodes, Tapomayukh Bhattacharjee, Daniel D. Lee |
| 2021 | AAAI | Geodesic-HOF: 3D Reconstruction Without Cutting Corners. | Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee |
| 2021 | ICRA | Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors. | Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee |
| 2021 | ICRA | Cost-to-Go Function Generating Networks for High Dimensional Motion Planning. | Jinwook Huh, Volkan Isler, Daniel D. Lee |
| 2021 | ICRA | Deep Reinforcement Learning for Active Target Tracking. | Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas |
| 2021 | IROS | AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. | Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry D. Jackel, Richard E. Howard, Daniel D. Lee |
| 2021 | IROS | Learning Continuous Cost-to-Go Functions for Non-holonomic Systems. | Jinwook Huh, Daniel D. Lee, Volkan Isler |
| 2021 | ICRA | Occupancy Map Inpainting for Online Robot Navigation. | Minghan Wei, Daewon Lee, Volkan Isler, Daniel D. Lee |
| 2021 | ICRA | Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction. | Daniel Yang, Tarik Tosun, Benjamin Eisner, Volkan Isler, Daniel D. Lee |
| 2020 | ECCV | Jointly Learning Visual Motion and Confidence from Local Patches in Event Cameras. | Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee |
| 2020 | ICIP | On-Device Event Filtering with Binary Neural Networks for Pedestrian Detection Using Neuromorphic Vision Sensors. | Fernando Cladera Ojeda, Anthony Bisulco, Daniel R. Kepple, Volkan Isler, Daniel D. Lee |
| 2020 | ICIP | Surface Hof: Surface Reconstruction From A Single Image Using Higher Order Function Networks. | Ziyun Wang, Volkan Isler, Daniel D. Lee |
| 2020 | ICLR | Higher-Order Function Networks for Learning Composable 3D Object Representations. | Eric Mitchell, Selim Engin, Volkan Isler, Daniel D. Lee |
| 2020 | IJCAI | Reward Prediction Error as an Exploration Objective in Deep RL. | Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee |
| 2020 | ICRA | Higher Order Function Networks for View Planning and Multi-View Reconstruction. | Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee |
| 2020 | IROS | Acoustic Collision Detection and Localization for Robot Manipulators. | Xiaoran Fan, Daewon Lee, Yuan Chen, Colin Prepscius, Volkan Isler, Larry D. Jackel, H. Sebastian Seung, Daniel D. Lee |
| 2019 | ICASSP | Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. | Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro |
| 2019 | IJCAI | Assumed Density Filtering Q-learning. | Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee |
| 2019 | ICRA | Online Continuous Mapping using Gaussian Process Implicit Surfaces. | Bhoram Lee, Clark Zhang, Zonghao Huang, Daniel D. Lee |
| 2019 | IROS | Learning Q-network for Active Information Acquisition. | Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas |
| 2019 | IROS | Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. | Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee |
| 2019 | ISRR | Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning. | Jinwook Huh, mr Arslan, Daniel D. Lee |
| 2018 | AAAI | Maximizing Activity in Ising Networks via the TAP Approximation. | Christopher W. Lynn, Daniel D. Lee |
| 2018 | ACSSC | Online Deep Learning in Wireless Communication Systems. | Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro |
| 2018 | ICLR | Memory Augmented Control Networks. | Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee |
| 2018 | ICRA | Constrained Sampling-Based Planning for Grasping and Manipulation. | Jinwook Huh, Bhoram Lee, Daniel D. Lee |
| 2018 | IROS | Artificial Invariant Subspace for Humanoid Robot Balancing in Locomotion. | Xiang Deng, Daniel D. Lee |
| 2018 | IROS | Minimal Construct: Efficient Shortest Path Finding for Mobile Robots in Polygonal Maps. | Marcell Missura, Daniel D. Lee, Maren Bennewitz |
| 2018 | IROS | Learning Implicit Sampling Distributions for Motion Planning. | Clark Zhang, Jinwook Huh, Daniel D. Lee |
| 2017 | ICRA | Adaptive motion planning with high-dimensional mixture models. | Jinwook Huh, Bhoram Lee, Daniel D. Lee |
| 2017 | IROS | Artificial invariant subspace with potential functions for humanoid robot balancing. | Xiang Deng, Fei Miao, Daniel D. Lee |
| 2017 | IROS | Self-supervised online learning of appearance for 3D tracking. | Bhoram Lee, Daniel D. Lee |
| 2017 | IROS | The synchronized holonomic model: A framework for efficient generation of motion. | Marcell Missura, Daniel D. Lee, Oskar von Stryk, Maren Bennewitz |
| 2016 | AAAI | Learning Complex Stand-Up Motion for Humanoid Robots. | Heejin Jeong, Daniel D. Lee |
| 2016 | IJCAI | Bayesian Reinforcement Learning with Behavioral Feedback. | Teakgyu Hong, Jongmin Lee, Kee-Eung Kim, Pedro A. Ortega, Daniel D. Lee |
| 2016 | ICRA | Learning high-dimensional Mixture Models for fast collision detection in Rapidly-Exploring Random Trees. | Jinwook Huh, Daniel D. Lee |
| 2016 | ICRA | Learning anisotropic ICP (LA-ICP) for robust and efficient 3D registration. | Bhoram Lee, Daniel D. Lee |
| 2016 | ICRA | Low dimensional human preference tracking for motion optimization. | Stephen G. McGill, Seung-Joon Yi, Daniel D. Lee |
| 2016 | IROS | Efficient learning of stand-up motion for humanoid robots with bilateral symmetry. | Heejin Jeong, Daniel D. Lee |
| 2016 | IROS | Online learning of visibility and appearance for object pose estimation. | Bhoram Lee, Daniel D. Lee |
| 2016 | IROS | Heel and toe lifting walk controller for resource constrained humanoid robots. | Seung-Joon Yi, Daniel D. Lee |
| 2016 | RoboCup | Adaptive Field Detection and Localization in Robot Soccer. | Yongbo Qian, Daniel D. Lee |
| 2015 | AISTATS | Reactive bandits with attitude. | Pedro A. Ortega, Kee-Eung Kim, Daniel D. Lee |
| 2015 | CogSci | Causal reasoning in a prediction task with hidden causes. | Pedro A. Ortega, Daniel D. Lee, Alan A. Stocker |
| 2015 | ICRA | Online self-supervised monocular visual odometry for ground vehicles. | Bhoram Lee, Kostas Daniilidis, Daniel D. Lee |
| 2015 | IROS | Dynamic and probabilistic estimation of manipulable obstacles for indoor navigation. | Christopher Clingerman, Peter J. Wei, Daniel D. Lee |
| 2015 | ITA | Belief flows for robust online learning. | Pedro A. Ortega, Koby Crammer, Daniel D. Lee |
| 2015 | RoboCup | RoboCup 2015 Humanoid AdultSize League Winner. | Seung-Joon Yi, Stephen G. McGill, Heejin Jeong, Jinwook Huh, Marcell Missura, Hak Yi, Min Sung Ahn, Sanghyun Cho, Kevin Liu, Dennis W. Hong, Daniel D. Lee |
| 2014 | AAAI | An Adversarial Interpretation of Information-Theoretic Bounded Rationality. | Pedro A. Ortega, Daniel D. Lee |
| 2014 | AISTATS | Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. | Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee |
| 2014 | ICRA | Estimating manipulability of unknown obstacles for navigation in indoor environments. | Christopher Clingerman, Daniel D. Lee |
| 2014 | IROS | Modular low-cost humanoid platform for disaster response. | Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Qin He, Inyong Ha, Michael Rouleau, Dennis W. Hong, Daniel D. Lee |
| 2014 | RoboCup | RoboCup 2014 Humanoid AdultSize League Winner. | Seung-Joon Yi, Stephen G. McGill, Qin He, Larry Vadakedathu, Hak Yi, Sanghyun Cho, Dennis W. Hong, Daniel D. Lee |
| 2013 | CogSci | k-Nearest Neighbor Classification Algorithm for Multiple Choice Sequential Sampling. | Yung-Kyun Noh, Frank Chongwoo Park, Daniel D. Lee |
| 2013 | ICRA | Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots. | Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee |
| 2013 | RoboCup | RoboCup 2013 Humanoid Kidsize League Winner. | Daniel D. Lee, Seung-Joon Yi, Stephen G. McGill, Yida Zhang, Larry Vadakedathu, Samarth Brahmbhatt, Richa Agrawal, Vibhavari Dasagi |
| 2013 | RoboCup | Extensions of a RoboCup Soccer Software Framework. | Stephen G. McGill, Seung-Joon Yi, Yida Zhang, Daniel D. Lee |
| 2012 | ICASSP | Online discriminative learning of phoneme recognition via collections of generalized linear models. | Koby Crammer, Daniel D. Lee |
| 2012 | IROS | Active stabilization of a humanoid robot for impact motions with unknown reaction forces. | Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee |
| 2011 | AAAI | Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces. | Paul Vernaza, Daniel D. Lee |
| 2011 | IROS | Learning Dimensional Descent planning for a highly-articulated robot arm. | Paul Vernaza, Daniel D. Lee |
| 2011 | IROS | Practical bipedal walking control on uneven terrain using surface learning and push recovery. | Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee |
| 2011 | ICRA | Efficient dynamic programming for high-dimensional, optimal motion planning by spectral learning of approximate value function symmetries. | Paul Vernaza, Daniel D. Lee |
| 2011 | ICRA | Learning full body push recovery control for small humanoid robots. | Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee |
| 2011 | RoboCup | RoboCup 2011 Humanoid League Winners. | Daniel D. Lee, Seung-Joon Yi, Stephen G. McGill, Yida Zhang, Sven Behnke, Marcell Missura, Hannes Schulz, Dennis W. Hong, Jeakweon Han, Michael A. Hopkins |
| 2010 | AAAI | Online Learning of Uneven Terrain for Humanoid Bipedal Walking. | Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee |
| 2010 | ICRA | Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields. | Paul Vernaza, Daniel D. Lee |
| 2010 | ICRA | Learning and planning high-dimensional physical trajectories via structured Lagrangians. | Paul Vernaza, Daniel D. Lee, Seung-Joon Yi |
| 2009 | ICRA | Search-based planning for a legged robot over rough terrain. | Paul Vernaza, Maxim Likhachev, Subhrajit Bhattacharya, Sachin Chitta, Aleksandr Kushleyev, Daniel D. Lee |
| 2008 | ICML | Grassmann discriminant analysis: a unifying view on subspace-based learning. | Jihun Ham, Daniel D. Lee |
| 2008 | ICPR | Regularized discriminant analysis for transformation-invariant object recognition. | Yung-Kyun Noh, Jihun Ham, Daniel D. Lee |
| 2008 | ICRA | Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. | Paul Vernaza, Ben Taskar, Daniel D. Lee |
| 2007 | ICRA | Proprioceptive localilzatilon for a quadrupedal robot on known terrain. | Sachin Chitta, Paul Vemaza, Roman Geykhman, Daniel D. Lee |
| 2006 | CVPR | Learning a manifold-constrained map between image sets: applications to matching and pose estimation. | Jihun Ham, Ikkjin Ahn, Daniel D. Lee |
| 2006 | ICASSP | Room Impulse Response Estimation using Sparse Online Prediction and Absolute Loss. | Koby Crammer, Daniel D. Lee |
| 2006 | ICASSP | Bayesian L1-Norm Sparse Learning. | Yuanqing Lin, Daniel D. Lee |
| 2006 | ICRA | Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors. | Paul Vernaza, Daniel D. Lee |
| 2005 | AISTATS | Semisupervised alignment of manifolds. | Jihun Ham, Daniel D. Lee, Lawrence K. Saul |
| 2005 | ICASSP | Relevant deconvolution for acoustic source estimation. | Yuanqing Lin, Daniel D. Lee |
| 2005 | IROS | Learning nonlinear appearance manifolds for robot localization. | Jihun Ham, Yuanqing Lin, Daniel D. Lee |
| 2005 | IROS | Cooperative relative robot localization with audible acoustic sensing. | Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee |
| 2004 | ICASSP | Nonnegative deconvolution for time of arrival estimation. | Yuanqing Lin, Daniel D. Lee, Lawrence K. Saul |
| 2004 | ICML | A kernel view of the dimensionality reduction of manifolds. | Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schlkopf |
| 2003 | COLT | Multiplicative Updates for Large Margin Classifiers. | Fei Sha, Lawrence K. Saul, Daniel D. Lee |
| 2003 | IJCNN | Biologically motivated computational models. | Mitra Basu, Jon Timmis, Dipankar Dasgupta, Daniel D. Lee, Guang R. Gao, Kwabena A. Boahen |
| 2003 | Interspeech | Statistical signal processing with nonnegativity constraints. | Lawrence K. Saul, Fei Sha, Daniel D. Lee |