Guibas, Leonidas

116 publications

TMLR 2026 Denoising Hamiltonian Network for Physical Reasoning Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas Guibas, Kaiming He
CoRL 2025 ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly Jiankai Sun, Aidan Curtis, Yang You, Yan Xu, Michael Koehle, Qianzhong Chen, Suning Huang, Leonidas Guibas, Sachin Chitta, Mac Schwager, Hui Li
ICCV 2025 AllTracker: Efficient Dense Point Tracking at High Resolution Adam W. Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Suya You, Rares Ambrus, Katerina Fragkiadaki, Leonidas Guibas
CVPR 2025 BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing Yunqi Gu, Ian Huang, Jihyeon Je, Guandao Yang, Leonidas Guibas
CVPR 2025 Diffusion Self-Distillation for Zero-Shot Customized Image Generation Shengqu Cai, Eric Ryan Chan, Yunzhi Zhang, Leonidas Guibas, Jiajun Wu, Gordon Wetzstein
CVPR 2025 Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas Guibas, Achuta Kadambi
CVPR 2025 FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement Ian Huang, Yanan Bao, Karen Truong, Howard Zhou, Cordelia Schmid, Leonidas Guibas, Alireza Fathi
ICML 2025 Gaussian Mixture Flow Matching Models Hansheng Chen, Kai Zhang, Hao Tan, Zexiang Xu, Fujun Luan, Leonidas Guibas, Gordon Wetzstein, Sai Bi
ICCV 2025 Global Motion Corresponder for 3D Point-Based Scene Interpolation Under Large Motion Junru Lin, Chirag Vashist, Mikaela Angelina Uy, Colton Stearns, Xuan Luo, Leonidas Guibas, Ke Li
CVPR 2025 GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling Yang Zheng, Menglei Chai, Delio Vicini, Yuxiao Zhou, Yinghao Xu, Leonidas Guibas, Gordon Wetzstein, Thabo Beeler
NeurIPS 2025 HouseLayout3D: A Benchmark and Training-Free Baseline for 3D Layout Estimation in the Wild Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno, Francis Engelmann, Leonidas Guibas
ICLR 2025 InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping Yunchao Zhang, Guandao Yang, Leonidas Guibas, Yanchao Yang
ICCV 2025 MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps Jiahui Lei, Kyle Genova, George Kopanas, Noah Snavely, Leonidas Guibas
CVPR 2025 MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds Jiahui Lei, Yijia Weng, Adam W. Harley, Leonidas Guibas, Kostas Daniilidis
TMLR 2025 Monocular Dynamic Gaussian Splatting: Fast, Brittle, and Scene Complexity Rules Yiqing Liang, Mikhail Okunev, Mikaela Angelina Uy, Runfeng Li, Leonidas Guibas, James Tompkin, Adam W Harley
ICLR 2025 Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning Yang You, Yixin Li, Congyue Deng, Yue Wang, Leonidas Guibas
ICCV 2025 Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation Phillip Y. Lee, Jihyeon Je, Chanho Park, Mikaela Angelina Uy, Leonidas Guibas, Minhyuk Sung
CoRL 2025 Robot Learning from Any Images Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas Guibas, Sergey Zakharov, Vitor Campagnolo Guizilini, Yue Wang
CVPR 2025 SceneCrafter: Controllable Multi-View Driving Scene Editing Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas Guibas, Mingxing Tan, Dragomir Anguelov
ICCV 2025 Self-Calibrating Gaussian Splatting for Large Field-of-View Reconstruction Youming Deng, Wenqi Xian, Guandao Yang, Leonidas Guibas, Gordon Wetzstein, Steve Marschner, Paul Debevec
ICCV 2025 SplatTalk: 3D VQA with Gaussian Splatting Anh Thai, Songyou Peng, Kyle Genova, Leonidas Guibas, Thomas Funkhouser
ICCV 2025 SuperDec: 3D Scene Decomposition with Superquadrics Primitives Elisabetta Fedele, Boyang Sun, Leonidas Guibas, Marc Pollefeys, Francis Engelmann
NeurIPS 2025 Video Perception Models for 3D Scene Synthesis Rui Huang, Guangyao Zhai, Zuria Bauer, Marc Pollefeys, Federico Tombari, Leonidas Guibas, Gao Huang, Francis Engelmann
ICCV 2025 Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images Boyang Deng, Songyou Peng, Kyle Genova, Gordon Wetzstein, Noah Snavely, Leonidas Guibas, Thomas Funkhouser
CVPR 2024 4D-Fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
ECCV 2024 ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling William Yicheng Zhu, Keren Ye, Junjie Ke, Jiahui Yu, Leonidas Guibas, Peyman Milanfar, Feng Yang
ECCV 2024 BlenderAlchemy: Editing 3D Graphics with Vision-Language Models Ian Huang, Guandao Yang, Leonidas Guibas
CVPR 2024 CAD: Photorealistic 3D Generation via Adversarial Distillation Ziyu Wan, Despoina Paschalidou, Ian Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas Guibas
NeurIPS 2024 Collaborative Video Diffusion: Consistent Multi-Video Generation with Camera Control Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas Guibas, Gordon Wetzstein
ECCV 2024 ConDense: Consistent 2D-3D Pre-Training for Dense and Sparse Features from Multi-View Images Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen L Gnanapragasam, Varun Jampani, Hao Su, Leonidas Guibas
CoRL 2024 D$^3$RoMa: Disparity Diffusion-Based Depth Sensing for Material-Agnostic Robotic Manipulation Songlin Wei, Haoran Geng, Jiayi Chen, Congyue Deng, Cui Wenbo, Chengyang Zhao, Xiaomeng Fang, Leonidas Guibas, He Wang
ECCV 2024 Denoising Vision Transformers Jiawei Yang, Katie Z Luo, Jiefeng Li, Congyue Deng, Leonidas Guibas, Dilip Krishnan, Kilian Weinberger, Yonglong Tian, Yue Wang
CVPR 2024 GPT-4V(ision) Is a Human-Aligned Evaluator for Text-to-3D Generation Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas Guibas, Dahua Lin, Gordon Wetzstein
CVPR 2024 MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas Guibas
CVPR 2024 NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas Guibas
CoRL 2024 Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas Guibas
CVPR 2024 Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas Guibas, Stan Birchfield
ECCV 2024 PACE: Pose Annotations in Cluttered Environments Yang You, Kai Xiong, Zhening Yang, Zhengxiang Huang, Junwei Zhou, Ruoxi Shi, Zhou Fang, Adam Harley, Leonidas Guibas, Cewu Lu
ECCV 2024 PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas Guibas, Gordon Wetzstein
CVPR 2024 Probing the 3D Awareness of Visual Foundation Models Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas Guibas, Justin Johnson, Varun Jampani
CoRL 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, Yue Wang
ICLRW 2024 SAGE: Bridging Semantic and Actionable Parts for Generalizable Manipulation of Articulated Objects Haoran Geng, Songlin Wei, Congyue Deng, Bokui Shen, He Wang, Leonidas Guibas
ICLR 2024 SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, Leonidas Guibas
CVPR 2024 SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities Boyuan Chen, Zhuo Xu, Sean Kirmani, Brain Ichter, Dorsa Sadigh, Leonidas Guibas, Fei Xia
TMLR 2024 Support-Set Context Matters for Bongard Problems Nikhil Raghuraman, Adam W Harley, Leonidas Guibas
ECCV 2024 View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields Haodi He, Colton Stearns, Adam Harley, Leonidas Guibas
ECCV 2024 Zero-Shot Image Feature Consensus with Deep Functional Maps Xinle Cheng, Congyue Deng, Adam Harley, Yixin Zhu, Leonidas Guibas
TMLR 2023 3D-Aware Video Generation Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas Guibas, Luc Van Gool, Radu Timofte
CVPR 2023 ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas Guibas, Achuta Kadambi
CVPR 2023 Affection: Learning Affective Explanations for Real-World Visual Data Panos Achlioptas, Maks Ovsjanikov, Leonidas Guibas, Sergey Tulyakov
NeurIPS 2023 Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng, Jiahui Lei, William B Shen, Kostas Daniilidis, Leonidas Guibas
ICCV 2023 CC3D: Layout-Conditioned Generation of Compositional 3D Scenes Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas, Andrea Tagliasacchi
ICCV 2023 DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas Guibas
CVPR 2023 EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas Guibas, Kostas Daniilidis
CoRL 2023 FindThis: Language-Driven Object Disambiguation in Indoor Environments Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas Guibas
CVPR 2023 GINA-3D: Learning to Generate Implicit Neural Assets in the Wild Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas Guibas, Yin Zhou, Dragomir Anguelov
CVPR 2023 Generating Part-Aware Editable 3D Shapes Without 3D Supervision Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Emiris, Yannis Avrithis, Leonidas Guibas
CVPR 2023 JacobiNeRF: NeRF Shaping with Mutual Information Gradients Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas Guibas
CVPR 2023 LEGO-Net: Learning Regular Rearrangements of Objects in Rooms Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas Guibas
CVPR 2023 MetaCLUE: Towards Comprehensive Visual Metaphors Research Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
NeurIPS 2023 NAP: Neural 3D Articulated Object Prior Jiahui Lei, Congyue Deng, William B Shen, Leonidas Guibas, Kostas Daniilidis
CVPR 2023 NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors Congyue Deng, Chiyu “Max” Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
NeurIPS 2023 NeRF Revisited: Fixing Quadrature Instability in Volume Rendering Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Thomas, Leonidas Guibas, Ke Li
CVPR 2023 Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision Xiaoshuai Zhang, Abhijit Kundu, Thomas Funkhouser, Leonidas Guibas, Hao Su, Kyle Genova
CVPR 2023 SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas Guibas, Ke Li
CVPR 2023 ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations Panos Achlioptas, Ian Huang, Minhyuk Sung, Sergey Tulyakov, Leonidas Guibas
CVPR 2023 SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene Minjung Son, Jeong Joon Park, Leonidas Guibas, Gordon Wetzstein
ICML 2023 Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas Guibas
CVPR 2023 VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas Guibas
NeurIPSW 2022 Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas Guibas
ICLR 2022 IFR-Explore: Learning Inter-Object Functional Relationships in 3D Indoor Scenes Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas Guibas
NeurIPS 2022 NeuForm: Adaptive Overfitting for Neural Shape Editing Connor Lin, Niloy Mitra, Gordon Wetzstein, Leonidas Guibas, Paul Guerrero
ICLR 2022 Object Pursuit: Building a Space of Objects via Discriminative Weight Generation Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas Guibas
NeurIPS 2022 Object Scene Representation Transformer Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas Guibas, Klaus Greff, Thomas Kipf
ICLR 2022 Unsupervised Discovery of Object Radiance Fields Hong-Xing Yu, Leonidas Guibas, Jiajun Wu
ICLR 2022 VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong
WACV 2021 Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas Guibas
NeurIPS 2021 Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks Tolga Birdal, Aaron Lou, Leonidas Guibas, Umut Simsekli
NeurIPS 2021 Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation from Point Clouds Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Abbott, Shuran Song, He Wang
CoRL 2021 O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas Guibas
WACV 2021 Representation Learning Through Latent Canonicalizations Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman
NeurIPS 2021 SketchGen: Generating Constrained CAD Sketches Wamiq Para, Shariq Bhat, Paul Guerrero, Tom Kelly, Niloy Mitra, Leonidas Guibas, Peter Wonka
ECCV 2020 6d Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab
NeurIPS 2020 CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas Guibas
ECCV 2020 Deformation-Aware 3D Model Embedding and Retrieval Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas
NeurIPS 2020 Generative 3D Part Assembly via Dynamic Graph Learning Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas Guibas, Hao Dong
ECCV 2020 Learning 3D Part Assembly from a Single Image Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas
ECCV 2020 PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas
ECCV 2020 PointContrast: Unsupervised Pre-Training for 3D Point Cloud Understanding Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany
WACV 2020 Predicting the Physical Dynamics of Unseen 3D Objects Davis Rempe, Srinath Sridhar, He Wang, Leonidas Guibas
ECCV 2020 Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari
ECCV 2020 ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas
NeurIPS 2020 ShapeFlow: Learnable Deformation Flows Among 3D Shapes Chiyu Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas Guibas
ECCV 2020 Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik
ECCV 2020 Towards Precise Completion of Deformable Shapes Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel
ICML 2020 Which Tasks Should Be Learned Together in Multi-Task Learning? Trevor Standley, Amir Zamir, Dawn Chen, Leonidas Guibas, Jitendra Malik, Silvio Savarese
NeurIPS 2019 A Condition Number for Joint Optimization of Cycle-Consistent Networks Leonidas Guibas, Qixing Huang, Zhenxiao Liang
CoRL 2019 Learning to Navigate Using Mid-Level Visual Priors Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik
NeurIPS 2019 Multiview Aggregation for Learning Category-Specific Shape Reconstruction Srinath Sridhar, Davis Rempe, Julien Valentin, Bouaziz Sofien, Leonidas Guibas
ICLR 2019 PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda, Jonathan Masci, Federico Monti, Michael Bronstein, Leonidas Guibas
NeurIPS 2018 Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions Minhyuk Sung, Hao Su, Ronald Yu, Leonidas Guibas
ICML 2018 Learning Representations and Generative Models for 3D Point Clouds Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas Guibas
NeurIPS 2017 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas Guibas
NeurIPS 2016 FPNN: Field Probing Neural Networks for 3D Data Yangyan Li, Soeren Pirk, Hao Su, Charles R Qi, Leonidas Guibas
NeurIPS 2015 Deep Knowledge Tracing Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas Guibas, Jascha Sohl-Dickstein
ICML 2015 Learning Program Embeddings to Propagate Feedback on Student Code Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas Guibas
ICML 2014 Near-Optimal Joint Object Matching via Convex Relaxation Yuxin Chen, Leonidas Guibas, Qixing Huang
ICML 2014 Scalable Semidefinite Relaxation for Maximum a Posterior Estimation Qixing Huang, Yuxin Chen, Leonidas Guibas
CVPR 2014 Stable and Informative Spectral Signatures for Graph Matching Nan Hu, Raif M. Rustamov, Leonidas Guibas
ICML 2014 Wasserstein Propagation for Semi-Supervised Learning Justin Solomon, Raif Rustamov, Leonidas Guibas, Adrian Butscher
CVPR 2013 Graph Matching with Anchor Nodes: A Learning Approach Nan Hu, Raif M. Rustamov, Leonidas Guibas
NeurIPS 2013 Wavelets on Graphs via Deep Learning Raif Rustamov, Leonidas Guibas
AISTATS 2012 Detecting Network Cliques with Radon Basis Pursuit Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas Guibas
AISTATS 2009 Exploiting Probabilistic Independence for Permutations Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas Guibas
JMLR 2009 Fourier Theoretic Probabilistic Inference over Permutations Jonathan Huang, Carlos Guestrin, Leonidas Guibas
NeurIPS 2007 Efficient Inference for Distributions on Permutations Jonathan Huang, Carlos Guestrin, Leonidas Guibas