Daniel D. Lee - RankMe

213 papers A* 38A 32B 6C 9Misc 4Journal 74Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AC$\oplus$DC search: behind the winning solution to the FlyWire graph-matching challenge. Trans. Mach. Learn. Res. Daniel D. Lee, Arie Matsliah, Lawrence K. Saul
2025	J	`jnl`	Estimating Dimensionality of Neural Representations from Finite Samples. CoRR Chanwoo Chun, Abdulkadir Canatar, SueYeon Chung, Daniel D. Lee
2025	A	`conf`	Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices. AISTATS Chanwoo Chun, SueYeon Chung, Daniel D. Lee
2024	J	`jnl`	Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices. CoRR Chanwoo Chun, SueYeon Chung, Daniel D. Lee
2024	J	`jnl`	Parametric Matrix Models. CoRR Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee
2024	—	`conf`	Sparse Activations with Correlated Weights in Cortex-Inspired Neural Networks. CPAL Chanwoo Chun, Daniel D. Lee
2023	A	`conf`	AmbiSense: Acoustic Field Based Blindspot-Free Proximity Detection and Bearing Estimation. IROS Siddharth Rupavatharam, Xiaoran Fan, Caleb Escobedo, Daewon Lee, Larry D. Jackel, Richard E. Howard, Colin Prepscius, Daniel D. Lee, Volkan Isler
2023	J	`jnl`	EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks. CoRR Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco, Daewon Lee, Camillo J. Taylor, Kostas Daniilidis, M. Ani Hsieh, Daniel D. Lee, Volkan Isler
2023	J	`jnl`	Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning. CoRR Niko A. Grupen, Michael Hanlon, Alexis Hao, Daniel D. Lee, Bart Selman
2023	J	`jnl`	Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks. CoRR Chanwoo Chun, Daniel D. Lee
2023	J	`jnl`	TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories. CoRR Travers Rhodes, Daniel D. Lee
2022	J	`jnl`	A theory of learning with constrained weight-distribution. CoRR Weishun Zhong, Ben Sorscher, Daniel D. Lee, Haim Sompolinsky
2022	A*	`conf`	Cooperative Multi-Agent Fairness and Equivariant Policies. AAAI Niko A. Grupen, Bart Selman, Daniel D. Lee
2022	J	`jnl`	EV-Catcher: High-Speed Object Catching Using Low-Latency Event-Based Neural Networks. IEEE Robotics Autom. Lett. Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco, Daewon Lee, Camillo J. Taylor, Kostas Daniilidis, M. Ani Hsieh, Daniel D. Lee, Volkan Isler
2022	A	`conf`	Learning from Demonstration using a Curvature Regularized Variational Auto-Encoder (CurvVAE). IROS Travers Rhodes, Tapomayukh Bhattacharjee, Daniel D. Lee
2022	A	`conf`	Multi-Agent Curricula and Emergent Implicit Signaling. AAMAS Niko A. Grupen, Daniel D. Lee, Bart Selman
2022	J	`jnl`	Nearest Neighbor Density Functional Estimation From Inverse Laplace Transform. IEEE Trans. Inf. Theory J. Jon Ryu, Shouvik Ganguly, Younghan Kim, Yung-Kyun Noh, Daniel D. Lee
2022	A	`conf`	Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation. IROS Nikhil Chavan Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D. Lee, Volkan Isler
2021	A	`conf`	AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. IROS Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry D. Jackel, Richard E. Howard, Daniel D. Lee
2021	J	`jnl`	AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. CoRR Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry D. Jackel, Richard E. Howard, Daniel D. Lee
2021	A*	`conf`	Cost-to-Go Function Generating Networks for High Dimensional Motion Planning. ICRA Jinwook Huh, Volkan Isler, Daniel D. Lee
2021	J	`jnl`	Curriculum-Driven Multi-Agent Learning and the Role of Implicit Communication in Teamwork. CoRR Niko A. Grupen, Daniel D. Lee, Bart Selman
2021	A*	`conf`	Deep Reinforcement Learning for Active Target Tracking. ICRA Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2021	J	`jnl`	Fairness for Cooperative Multi-Agent Learning with Equivariant Policies. CoRR Niko A. Grupen, Bart Selman, Daniel D. Lee
2021	A*	`conf`	Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors. ICRA Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee
2021	A*	`conf`	Geodesic-HOF: 3D Reconstruction Without Cutting Corners. AAAI Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee
2021	A	`conf`	Learning Continuous Cost-to-Go Functions for Non-holonomic Systems. IROS Jinwook Huh, Daniel D. Lee, Volkan Isler
2021	J	`jnl`	Learning Continuous Cost-to-Go Functions for Non-holonomic Systems. CoRR Jinwook Huh, Daniel D. Lee, Volkan Isler
2021	A*	`conf`	Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization. NeurIPS Travers Rhodes, Daniel D. Lee
2021	J	`jnl`	Local Disentanglement in Variational Auto-Encoders Using Jacobian L CoRR Travers Rhodes, Daniel D. Lee
2021	J	`jnl`	Object Shell Reconstruction: Camera-centric Object Representation for Robotic Grasping. CoRR Nikhil Chavan Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D. Lee, Volkan Isler
2021	A*	`conf`	Occupancy Map Inpainting for Online Robot Navigation. ICRA Minghan Wei, Daewon Lee, Volkan Isler, Daniel D. Lee
2021	A*	`conf`	Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction. ICRA Daniel Yang, Tarik Tosun, Benjamin Eisner, Volkan Isler, Daniel D. Lee
2021	J	`jnl`	Tactile Velocity Estimation for Controlled In-Grasp Sliding. IEEE Robotics Autom. Lett. Yuan Chen, Colin Prepscius, Daewon Lee, Daniel D. Lee
2020	A	`conf`	Acoustic Collision Detection and Localization for Robot Manipulators. IROS Xiaoran Fan, Daewon Lee, Yuan Chen, Colin Prepscius, Volkan Isler, Larry D. Jackel, H. Sebastian Seung, Daniel D. Lee
2020	J	`jnl`	Cost-to-Go Function Generating Networks for High Dimensional Motion Planning. CoRR Jinwook Huh, Volkan Isler, Daniel D. Lee
2020	J	`jnl`	Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors. CoRR Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee
2020	J	`jnl`	Geodesic-HOF: 3D Reconstruction Without Cutting Corners. CoRR Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee
2020	A*	`conf`	Higher Order Function Networks for View Planning and Multi-View Reconstruction. ICRA Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee
2020	A*	`conf`	Higher-Order Function Networks for Learning Composable 3D Object Representations. ICLR Eric Mitchell, Selim Engin, Volkan Isler, Daniel D. Lee
2020	—	`conf`	Jointly Learning Visual Motion and Confidence from Local Patches in Event Cameras. ECCV (6) Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee
2020	—	`conf`	Learning to Generate Cost-to-Go Functions for Efficient Motion Planning. ISER Jinwook Huh, Galen Xing, Ziyun Wang, Volkan Isler, Daniel D. Lee
2020	J	`jnl`	Learning to Generate Cost-to-Go Functions for Efficient Motion Planning. CoRR Jinwook Huh, Galen Xing, Ziyun Wang, Volkan Isler, Daniel D. Lee
2020	J	`jnl`	Learning to Track Dynamic Targets in Partially Known Environments. CoRR Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2020	J	`jnl`	Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems. CoRR Niko A. Grupen, Daniel D. Lee, Bart Selman
2020	J	`jnl`	Near-chip Dynamic Vision Filtering for Low-Bandwidth Pedestrian Detection. CoRR Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee
2020	B	`conf`	On-Device Event Filtering with Binary Neural Networks for Pedestrian Detection Using Neuromorphic Vision Sensors. ICIP Fernando Cladera Ojeda, Anthony Bisulco, Daniel R. Kepple, Volkan Isler, Daniel D. Lee
2020	A*	`conf`	Reward Prediction Error as an Exploration Objective in Deep RL. IJCAI Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2020	J	`jnl`	Robotic Grasping through Combined image-Based Grasp Proposal and 3D Reconstruction. CoRR Tarik Tosun, Daniel Yang, Ben Eisner, Volkan Isler, Daniel D. Lee
2020	B	`conf`	Surface Hof: Surface Reconstruction From A Single Image Using Higher Order Function Networks. ICIP Ziyun Wang, Volkan Isler, Daniel D. Lee
2019	A*	`conf`	Assumed Density Filtering Q-learning. IJCAI Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee
2019	J	`jnl`	Bayesian optimistic Kullback-Leibler exploration. Mach. Learn. Kanghoon Lee, Geon-Hyeong Kim, Pedro A. Ortega, Daniel D. Lee, Kee-Eung Kim
2019	Misc	`conf`	Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	J	`jnl`	Higher Order Function Networks for View Planning and Multi-View Reconstruction. CoRR Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee
2019	J	`jnl`	Higher-Order Function Networks for Learning Composable 3D Object Representations. CoRR Eric Mitchell, Kazim Selim Engin, Volkan Isler, Daniel D. Lee
2019	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	A	`conf`	Learning Q-network for Active Information Acquisition. IROS Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2019	J	`jnl`	Learning Q-network for Active Information Acquisition. CoRR Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2019	A*	`conf`	Online Continuous Mapping using Gaussian Process Implicit Surfaces. ICRA Bhoram Lee, Clark Zhang, Zonghao Huang, Daniel D. Lee
2019	A	`conf`	Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. IROS Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
2019	J	`jnl`	Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. CoRR Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
2019	C	`conf`	Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning. ISRR Jinwook Huh, Ömür Arslan, Daniel D. Lee
2019	J	`jnl`	Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning. CoRR Jinwook Huh, Omur Arslan, Daniel D. Lee
2019	J	`jnl`	Q-Learning for Continuous Actions with Cross-Entropy Guided Policies. CoRR Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2019	J	`jnl`	QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. CoRR Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2019	J	`jnl`	RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight]. IEEE Robotics Autom. Mag. Minoru Asada, Peter Stone, Manuela Veloso, Daniel D. Lee, Daniele Nardi
2019	J	`jnl`	Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks. CoRR Ziyun Wang, Volkan Isler, Daniel D. Lee
2018	C	`conf`	Approximating Explicit Model Predictive Control Using Constrained Neural Networks. ACC Steven W. Chen, Kelsey Saulnier, Nikolay Atanasov, Daniel D. Lee, Vijay Kumar, George J. Pappas, Manfred Morari
2018	A	`conf`	Artificial Invariant Subspace for Humanoid Robot Balancing in Locomotion. IROS Xiang Deng, Daniel D. Lee
2018	—	`conf`	Bayesian Q-learning with Assumed Density Filtering. AAAI Spring Symposia Heejin Jeong, Daniel D. Lee
2018	J	`jnl`	Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. Neural Comput. Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee
2018	A*	`conf`	Constrained Sampling-Based Planning for Grasping and Manipulation. ICRA Jinwook Huh, Bhoram Lee, Daniel D. Lee
2018	J	`jnl`	Efficient Sampling With Q-Learning to Guide Rapidly Exploring Random Trees. IEEE Robotics Autom. Lett. Jinwook Huh, Daniel D. Lee
2018	J	`jnl`	Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Yung-Kyun Noh, Jihun Hamm, Frank Chongwoo Park, Byoung-Tak Zhang, Daniel D. Lee
2018	—	`ed.`	GCAI-2018, 4th Global Conference on Artificial Intelligence, Luxembourg, September 18-21, 2018 GCAI Daniel D. Lee, Alexander Steen, Toby Walsh
2018	J	`jnl`	Generative Local Metric Learning for Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
2018	J	`jnl`	Learning Data Manifolds with a Cutting Plane Method. Neural Comput. SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee
2018	A	`conf`	Learning Implicit Sampling Distributions for Motion Planning. IROS Clark Zhang, Jinwook Huh, Daniel D. Lee
2018	J	`jnl`	Learning Implicit Sampling Distributions for Motion Planning. CoRR Clark Zhang, Jinwook Huh, Daniel D. Lee
2018	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. CoRR Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	A*	`conf`	Maximizing Activity in Ising Networks via the TAP Approximation. AAAI Christopher W. Lynn, Daniel D. Lee
2018	J	`jnl`	Maximizing Activity in Ising Networks via the TAP Approximation. CoRR Christopher W. Lynn, Daniel D. Lee
2018	—	`conf`	Memory Augmented Control Networks. ICLR (Poster) Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
2018	A	`conf`	Minimal Construct: Efficient Shortest Path Finding for Mobile Robots in Polygonal Maps. IROS Marcell Missura, Daniel D. Lee, Maren Bennewitz
2018	J	`jnl`	Nearest neighbor density functional estimation based on inverse Laplace transform. CoRR Shouvik Ganguly, Jongha Ryu, Young-Han Kim, Yung-Kyun Noh, Daniel D. Lee
2018	Misc	`conf`	Online Deep Learning in Wireless Communication Systems. ACSSC Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	J	`jnl`	Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. CoRR Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro
2018	J	`jnl`	Surges of collective human activity emerge from simple pairwise correlations. CoRR Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, Danielle S. Bassett
2018	J	`jnl`	U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification. CoRR Ty Nguyen, Tolga Özaslan, Ian D. Miller, James Keller, Giuseppe Loianno, Camillo J. Taylor, Daniel D. Lee, Vijay Kumar, Joseph H. Harwood, Jennifer M. Wozencraft
2017	A*	`conf`	Adaptive motion planning with high-dimensional mixture models. ICRA Jinwook Huh, Bhoram Lee, Daniel D. Lee
2017	A	`conf`	Artificial invariant subspace with potential functions for humanoid robot balancing. IROS Xiang Deng, Fei Miao, Daniel D. Lee
2017	J	`jnl`	Bayesian Q-learning with Assumed Density Filtering. CoRR Heejin Jeong, Daniel D. Lee
2017	J	`jnl`	Classification and Geometry of General Perceptual Manifolds. CoRR SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
2017	J	`jnl`	End-to-End Navigation in Unknown Environments using Neural Networks. CoRR Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar
2017	—	`conf`	Generative Local Metric Learning for Kernel Regression. NIPS Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim, Frank C. Park, Daniel D. Lee
2017	J	`jnl`	Learning Data Manifolds with a Cutting Plane Method. CoRR SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee
2017	J	`jnl`	Memory Augmented Control Networks. CoRR Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
2017	J	`jnl`	Neural Network Memory Architectures for Autonomous Robot Navigation. CoRR Steven W. Chen, Nikolay Atanasov, Arbaaz Khan, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar
2017	C	`ed.`	RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30 - July 4, 2016] RoboCup Sven Behnke, Raymond Sheh, Sanem Sariel, Daniel D. Lee
2017	A	`conf`	Self-supervised online learning of appearance for 3D tracking. IROS Bhoram Lee, Daniel D. Lee
2017	J	`jnl`	Team THOR's Entry in the DARPA Robotics Challenge Finals 2015. J. Field Robotics Stephen G. McGill, Seung-Joon Yi, Hak Yi, Min Sung Ahn, Sanghyun Cho, Kevin Liu, Daniel Sun, Bhoram Lee, Heejin Jeong, Jinwook Huh, Dennis W. Hong, Daniel D. Lee
2017	A	`conf`	The synchronized holonomic model: A framework for efficient generation of motion. IROS Marcell Missura, Daniel D. Lee, Oskar von Stryk, Maren Bennewitz
2016	C	`conf`	Adaptive Field Detection and Localization in Robot Soccer. RoboCup Yongbo Qian, Daniel D. Lee
2016	—	`ed.`	Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain NIPS Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, Roman Garnett
2016	A*	`conf`	Bayesian Reinforcement Learning with Behavioral Feedback. IJCAI Teakgyu Hong, Jongmin Lee, Kee-Eung Kim, Pedro A. Ortega, Daniel D. Lee
2016	—	`conf`	Dynamic heel-strike toe-off walking controller for full-size modular humanoid robots. Humanoids Seung-Joon Yi, Daniel D. Lee
2016	J	`jnl`	Efficient Neural Codes That Minimize Neural Comput. Zhuo Wang, Alan A. Stocker, Daniel D. Lee
2016	—	`conf`	Efficient Neural Codes under Metabolic Constraints. NIPS Zhuo Wang, Xue-Xin Wei, Alan A. Stocker, Daniel D. Lee
2016	A	`conf`	Efficient learning of stand-up motion for humanoid robots with bilateral symmetry. IROS Heejin Jeong, Daniel D. Lee
2016	A	`conf`	Heel and toe lifting walk controller for resource constrained humanoid robots. IROS Seung-Joon Yi, Daniel D. Lee
2016	A*	`conf`	Learning Complex Stand-Up Motion for Humanoid Robots. AAAI Heejin Jeong, Daniel D. Lee
2016	A*	`conf`	Learning anisotropic ICP (LA-ICP) for robust and efficient 3D registration. ICRA Bhoram Lee, Daniel D. Lee
2016	A*	`conf`	Learning high-dimensional Mixture Models for fast collision detection in Rapidly-Exploring Random Trees. ICRA Jinwook Huh, Daniel D. Lee
2016	A*	`conf`	Low dimensional human preference tracking for motion optimization. ICRA Stephen G. McGill, Seung-Joon Yi, Daniel D. Lee
2016	—	`conf`	Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution. NIPS Christopher Lynn, Daniel D. Lee
2016	J	`jnl`	Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution. CoRR Christopher Lynn, Daniel D. Lee
2016	A	`conf`	Online learning of visibility and appearance for object pose estimation. IROS Bhoram Lee, Daniel D. Lee
2016	—	`ch.`	Robot Learning. Springer Handbook of Robotics, 2nd Ed. Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, J. Andrew Bagnell, Stefan Schaal
2016	J	`jnl`	Whole-Body Balancing Walk Controller for Position Controlled Humanoid Robots. Int. J. Humanoid Robotics Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2015	—	`ed.`	Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada NIPS Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett
2015	J	`jnl`	Belief Flows of Robust Online Learning. CoRR Pedro A. Ortega, Koby Crammer, Daniel D. Lee
2015	Misc	`conf`	Belief flows for robust online learning. ITA Pedro A. Ortega, Koby Crammer, Daniel D. Lee
2015	B	`conf`	Causal reasoning in a prediction task with hidden causes. CogSci Pedro A. Ortega, Daniel D. Lee, Alan A. Stocker
2015	J	`jnl`	Classification of Manifolds by Single-Layer Neural Networks. CoRR SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
2015	A	`conf`	Dynamic and probabilistic estimation of manipulable obstacles for indoor navigation. IROS Christopher Clingerman, Peter J. Wei, Daniel D. Lee
2015	—	`conf`	Heel and toe lifting walk controller for traversing uneven terrain. Humanoids Seung-Joon Yi, Dennis W. Hong, Daniel D. Lee
2015	J	`jnl`	Molecular learning with DNA kernel machines. Biosyst. Yung-Kyun Noh, Daniel D. Lee, Kyung-Ae Yang, Cheong-Tag Kim, Byoung-Tak Zhang
2015	A*	`conf`	Online self-supervised monocular visual odometry for ground vehicles. ICRA Bhoram Lee, Kostas Daniilidis, Daniel D. Lee
2015	A	`conf`	Reactive bandits with attitude. AISTATS Pedro A. Ortega, Kee-Eung Kim, Daniel D. Lee
2015	C	`conf`	RoboCup 2015 Humanoid AdultSize League Winner. RoboCup 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
2015	J	`jnl`	Team THOR's Entry in the DARPA Robotics Challenge Trials 2013. J. Field Robotics Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Qin He, Inyong Ha, Jeakweon Han, Hyunjong Song, Michael Rouleau, Byoung-Tak Zhang, Dennis W. Hong, Mark Yim, Daniel D. Lee
2015	—	`conf`	Team THOR's adaptive autonomy for disaster response humanoids. Humanoids Stephen G. McGill, Seung-Joon Yi, Daniel D. Lee
2015	J	`jnl`	The Stan Math Library: Reverse-Mode Automatic Differentiation in C++. CoRR Bob Carpenter, Matthew D. Hoffman, Marcus A. Brubaker, Daniel D. Lee, Peter Li, Michael Betancourt
2014	A*	`conf`	An Adversarial Interpretation of Information-Theoretic Bounded Rationality. AAAI Pedro A. Ortega, Daniel D. Lee
2014	J	`jnl`	An Adversarial Interpretation of Information-Theoretic Bounded Rationality. CoRR Pedro A. Ortega, Daniel D. Lee
2014	—	`conf`	An application of parametric speaker technology to bus-pedestrian collision warning. ITSC Alexander Burka, Alaric Qin, Daniel D. Lee
2014	A	`conf`	Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. AISTATS Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee
2014	A*	`conf`	Estimating manipulability of unknown obstacles for navigation in indoor environments. ICRA Christopher Clingerman, Daniel D. Lee
2014	A	`conf`	Modular low-cost humanoid platform for disaster response. IROS Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Qin He, Inyong Ha, Michael Rouleau, Dennis W. Hong, Daniel D. Lee
2014	C	`conf`	RoboCup 2014 Humanoid AdultSize League Winner. RoboCup Seung-Joon Yi, Stephen G. McGill, Qin He, Larry Vadakedathu, Hak Yi, Sanghyun Cho, Dennis W. Hong, Daniel D. Lee
2014	—	`conf`	THOR-OP humanoid robot for DARPA Robotics Challenge Trials 2013. URAI Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Qin He, Inyong Ha, Jeakweon Han, Hyunjong Song, Michael Rouleau, Dennis W. Hong, Daniel D. Lee
2013	—	`conf`	A hybrid walk controller for resource-constrained humanoid robots. Humanoids Seung-Joon Yi, Dennis W. Hong, Daniel D. Lee
2013	C	`conf`	Extensions of a RoboCup Soccer Software Framework. RoboCup Stephen G. McGill, Seung-Joon Yi, Yida Zhang, Daniel D. Lee
2013	A*	`conf`	Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots. ICRA Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2013	—	`conf`	Optimal Neural Population Codes for High-dimensional Stimulus Variables. NIPS Zhuo Wang, Alan A. Stocker, Daniel D. Lee
2013	C	`conf`	RoboCup 2013 Humanoid Kidsize League Winner. RoboCup Daniel D. Lee, Seung-Joon Yi, Stephen G. McGill, Yida Zhang, Larry Vadakedathu, Samarth Brahmbhatt, Richa Agrawal, Vibhavari Dasagi
2013	B	`conf`	k-Nearest Neighbor Classification Algorithm for Multiple Choice Sequential Sampling. CogSci Yung-Kyun Noh, Frank Chongwoo Park, Daniel D. Lee
2012	—	`conf`	"Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss". NIPS Zhuo Wang, Alan A. Stocker, Daniel D. Lee
2012	A	`conf`	Active stabilization of a humanoid robot for impact motions with unknown reaction forces. IROS Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2012	—	`conf`	Active stabilization of a humanoid robot for real-time imitation of a human operator. Humanoids Seung-Joon Yi, Stephen G. McGill, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2012	—	`conf`	Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification. NIPS Yung-Kyun Noh, Frank Chongwoo Park, Daniel D. Lee
2012	J	`jnl`	Learning and exploiting low-dimensional structure for efficient holonomic motion planning in high-dimensional spaces. Int. J. Robotics Res. Paul Vernaza, Daniel D. Lee
2012	Misc	`conf`	Online discriminative learning of phoneme recognition via collections of generalized linear models. ICASSP Koby Crammer, Daniel D. Lee
2012	J	`jnl`	Preface. Adv. Robotics Shin'ichi Yuta, Daniel D. Lee, Keiji Nagatani, Yasushi Nakauchi
2012	J	`jnl`	Sensor Information Processing in Robot Competitions and Real World Robotic Challenges. Adv. Robotics Keiji Nagatani, Alex Kushleyev, Daniel D. Lee
2012	J	`jnl`	The University of Pennsylvania MAGIC 2010 multi-robot unmanned vehicle system. J. Field Robotics Jonathan Butzke, Kostas Daniilidis, Aleksandr Kushleyev, Daniel D. Lee, Maxim Likhachev, Cody J. Phillips, Mike Phillips
2011	—	`conf`	Cooperative humanoid stretcher manipulation and locomotion. Humanoids Stephen G. McGill, Daniel D. Lee
2011	A*	`conf`	Efficient dynamic programming for high-dimensional, optimal motion planning by spectral learning of approximate value function symmetries. ICRA Paul Vernaza, Daniel D. Lee
2011	A*	`conf`	Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces. AAAI Paul Vernaza, Daniel D. Lee
2011	A	`conf`	Learning Dimensional Descent planning for a highly-articulated robot arm. IROS Paul Vernaza, Daniel D. Lee
2011	J	`jnl`	Learning Discriminative Metrics via Generative Models and Kernel Learning CoRR Yuan Shi, Yung-Kyun Noh, Fei Sha, Daniel D. Lee
2011	A*	`conf`	Learning full body push recovery control for small humanoid robots. ICRA Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2011	—	`conf`	Online learning of a full body push recovery controller for omnidirectional walking. Humanoids Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2011	A	`conf`	Practical bipedal walking control on uneven terrain using surface learning and push recovery. IROS Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2011	C	`conf`	RoboCup 2011 Humanoid League Winners. RoboCup 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	A	`conf`	Fluid Dynamics Models for Low Rank Discriminant Analysis. AISTATS Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
2010	—	`conf`	Generative Local Metric Learning for Nearest Neighbor Classification. NIPS Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
2010	A*	`conf`	Learning and planning high-dimensional physical trajectories via structured Lagrangians. ICRA Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
2010	—	`conf`	Learning via Gaussian Herding. NIPS Koby Crammer, Daniel D. Lee
2010	A*	`conf`	Online Learning of Uneven Terrain for Humanoid Bipedal Walking. AAAI Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee
2010	A*	`conf`	Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields. ICRA Paul Vernaza, Daniel D. Lee
2009	A	`conf`	Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar
2009	—	`conf`	Little Ben: The Ben Franklin Racing Team's Entry in the 2007 DARPA Urban Challenge. The DARPA Urban Challenge Jonathan Bohren, Tully Foote, Jim Keller, Alex Kushleyev, Daniel D. Lee, Alex Stewart, Paul Vernaza, Jason C. Derenick, John R. Spletzer, Brian Satterfield
2009	A*	`conf`	Search-based planning for a legged robot over rough terrain. ICRA Paul Vernaza, Maxim Likhachev, Subhrajit Bhattacharya, Sachin Chitta, Aleksandr Kushleyev, Daniel D. Lee
2008	—	`conf`	Extended Grassmann Kernels for Subspace-Based Learning. NIPS Jihun Ham, Daniel D. Lee
2008	A*	`conf`	Grassmann discriminant analysis: a unifying view on subspace-based learning. ICML Jihun Ham, Daniel D. Lee
2008	—	`conf`	Learning a Warped Subspace Model of Faces with Images of Unknown Pose and Illumination. VISAPP (1) Jihun Ham, Daniel D. Lee
2008	J	`jnl`	Little Ben: The Ben Franklin Racing Team's entry in the 2007 DARPA Urban Challenge. J. Field Robotics Jonathan Bohren, Tully Foote, Jim Keller, Alex Kushleyev, Daniel D. Lee, Alex Stewart, Paul Vernaza, Jason C. Derenick, John R. Spletzer, Brian Satterfield
2008	A*	`conf`	Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. ICRA Paul Vernaza, Ben Taskar, Daniel D. Lee
2008	B	`conf`	Regularized discriminant analysis for transformation-invariant object recognition. ICPR Yung-Kyun Noh, Jihun Ham, Daniel D. Lee
2007	—	`conf`	Blind channel identification for speech dereverberation using l1-norm sparse learning. NIPS Yuanqing Lin, Jingdong Chen, Youngmoo E. Kim, Daniel D. Lee
2007	J	`jnl`	Multiplicative Updates for Nonnegative Quadratic Programming. Neural Comput. Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee
2007	A*	`conf`	Proprioceptive localilzatilon for a quadrupedal robot on known terrain. ICRA Sachin Chitta, Paul Vemaza, Roman Geykhman, Daniel D. Lee
2006	—	`conf`	Bayesian L1-Norm Sparse Learning. ICASSP (5) Yuanqing Lin, Daniel D. Lee
2006	J	`jnl`	Bayesian regularization and nonnegative deconvolution for room impulse response estimation. IEEE Trans. Signal Process. Yuanqing Lin, Daniel D. Lee
2006	—	`conf`	Learning a manifold-constrained map between image sets: applications to matching and pose estimation. CVPR (1) Jihun Ham, Ikkjin Ahn, Daniel D. Lee
2006	A*	`conf`	Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors. ICRA Paul Vernaza, Daniel D. Lee
2006	—	`conf`	Robust GPS/INS-Aided Localization and Mapping Via GPS Bias Estimation. ISER Paul Vernaza, Daniel D. Lee
2006	—	`conf`	Room Impulse Response Estimation using Sparse Online Prediction and Absolute Loss. ICASSP (3) Koby Crammer, Daniel D. Lee
2006	—	`ch.`	Spectral Methods for Dimensionality Reduction. Semi-Supervised Learning Lawrence K. Saul, Kilian Q. Weinberger, Fei Sha, Jihun Ham, Daniel D. Lee
2005	A	`conf`	Cooperative relative robot localization with audible acoustic sensing. IROS Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee
2005	A	`conf`	Learning nonlinear appearance manifolds for robot localization. IROS Jihun Ham, Yuanqing Lin, Daniel D. Lee
2005	—	`conf`	Relevant deconvolution for acoustic source estimation. ICASSP (5) Yuanqing Lin, Daniel D. Lee
2005	A	`conf`	Semisupervised alignment of manifolds. AISTATS Jihun Ham, Daniel D. Lee, Lawrence K. Saul
2004	A*	`conf`	A kernel view of the dimensionality reduction of manifolds. ICML Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf
2004	—	`conf`	Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation. NIPS Yuanqing Lin, Daniel D. Lee
2004	—	`conf`	Nonnegative deconvolution for time of arrival estimation. ICASSP (2) Yuanqing Lin, Daniel D. Lee, Lawrence K. Saul
2003	B	`conf`	Biologically motivated computational models. IJCNN Mitra Basu, Jon Timmis, Dipankar Dasgupta, Daniel D. Lee, Guang R. Gao, Kwabena A. Boahen
2003	A*	`conf`	Multiplicative Updates for Large Margin Classifiers. COLT Fei Sha, Lawrence K. Saul, Daniel D. Lee
2003	A	`conf`	Statistical signal processing with nonnegativity constraints. INTERSPEECH Lawrence K. Saul, Fei Sha, Daniel D. Lee
2002	—	`conf`	Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines. NIPS Fei Sha, Lawrence K. Saul, Daniel D. Lee
2002	—	`conf`	Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch. NIPS Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell Jr., Yann LeCun
2001	—	`conf`	Multiplicative Updates for Classification by Mixture Models. NIPS Lawrence K. Saul, Daniel D. Lee
2000	—	`conf`	Algorithms for Non-negative Matrix Factorization. NIPS Daniel D. Lee, H. Sebastian Seung
2000	—	`conf`	An Information Maximization Approach to Overcomplete and Recurrent Representations. NIPS Oren Shriki, Haim Sompolinsky, Daniel D. Lee
2000	J	`jnl`	The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback. J. Comput. Neurosci. H. Sebastian Seung, Daniel D. Lee, Ben Y. Reis, David W. Tank
1999	—	`conf`	Algorithms for Independent Components Analysis and Higher Order Statistics. NIPS Daniel D. Lee, Uri Rokni, Haim Sompolinsky
1999	—	`conf`	Learning in Intelligent Embedded Systems. USENIX Workshop on Embedded Systems Daniel D. Lee, H. Sebastian Seung
1999	—	`conf`	The Nonnegative Boltzmann Machine. NIPS Oliver B. Downs, David J. C. MacKay, Daniel D. Lee
1998	—	`conf`	Learning a Continuous Hidden Variable Model for Binary Data. NIPS Daniel D. Lee, Haim Sompolinsky
1997	—	`conf`	A Neural Network Based Head Tracking System. NIPS Daniel D. Lee, H. Sebastian Seung
1997	—	`conf`	The Rectified Gaussian Distribution. NIPS Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung
1996	—	`conf`	Unsupervised Learning by Convex and Conic Coding. NIPS Daniel D. Lee, H. Sebastian Seung