Guy Rosman

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 74

Top Venues

CoRR

ICRA

IEEE Robotics Autom. Lett.

IROS

Publications

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA (2024)
Justin Lidard, Haimin Hu, Asher Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, María Santos, Jaime Fernández Fisac
Blending Data-Driven Priors in Dynamic Games. CoRR (2024)
Emily S. Sumner, Jonathan A. DeCastro, Jean Costa, Deepak E. Gopinath, Everlyne Kimani, Shabnam Hakimi, Allison Morgan, Andrew Best, Hieu Nguyen, Daniel J. Brooks, Bassam ul Haq, Andrew Patrikalakis, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR (2024)
Lianhao Yin, Yutong Ban, Jennifer A. Eckhoff, Ozanan R. Meireles, Daniela Rus, Guy Rosman
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery. CoRR (2024)
Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
Probing Multimodal LLMs as World Models for Driving. CoRR (2024)
Haimin Hu, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. CoRR (2024)
Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman
Concept Graph Neural Networks for Surgical Video Understanding. IEEE Trans. Medical Imaging 43 (1) (2024)
Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL (2023)
Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. ICRA (2023)
Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR (2023)
Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. 8 (8) (2023)
Ameesh Shah, Jonathan A. DeCastro, John Gideon, Beyazit Yalcinkaya, Guy Rosman, Sanjit A. Seshia
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning. CoRR (2023)
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR (2023)
Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR (2023)
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
Trajectory Prediction with Linguistic Representations. ICRA (2022)
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA (2022)
Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. 7 (2) (2022)
Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS (2022)
Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR (2022)
Jonathan A. DeCastro, Deepak Gopinath, Guy Rosman, Emily Sumner, Shabnam Hakimi, Simon Stent
Learning Latent Traits for Simulated Cooperative Driving Tasks. CoRR (2022)
Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA (2022)
Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman
Concept Graph Neural Networks for Surgical Video Understanding. CoRR (2022)
Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. CoRR (2022)
Deepak Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent
HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. CVPR Workshops (2022)
Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. IEEE Robotics Autom. Lett. 7 (2) (2022)
Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA (2022)
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR (2021)
Deepak Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard
MAAD: A Model and Dataset for "Attended Awareness" in Driving. ICCVW (2021)
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
Trajectory Prediction with Linguistic Representations. CoRR (2021)
Yutong Ban, Guy Rosman, Thomas Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows. ICRA (2021)
Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. 6 (2) (2021)
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams
Risk Conditioned Neural Motion Planning. CoRR (2021)
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams
Risk Conditioned Neural Motion Planning. IROS (2021)
Deepak Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard
MAAD: A Model and Dataset for "Attended Awareness" in Driving. CoRR (2021)
Yutong Ban, Guy Rosman, Thomas Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
SUrgical PRediction GAN for Events Anticipation. CoRR (2021)
Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR (2021)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6 (3) (2021)
Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. CoRR (2020)
Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. IEEE Robotics Autom. Lett. 5 (4) (2020)
Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. CoRR (2020)
Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus
Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL (2020)
Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR (2020)
Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR (2020)
Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRL (2020)
Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. IROS (2020)
Yutong Ban, Guy Rosman, Thomas Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus
Aggregating Long-Term Context for Learning Surgical Workflows. CoRR (2020)
Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRR (2020)
Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
Driving Through Ghosts: Behavioral Cloning with False Positives. IROS (2020)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR (2020)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5 (4) (2020)
Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems (2020)
Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. ITSC (2020)
Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. CoRR (2019)
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA (2019)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR (2019)
Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS (2019)
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR (2019)
Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard
Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. 4 (4) (2019)
Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Variational End-to-End Navigation and Localization. ICRA (2019)
Alexander Amini, Wilko Schwarting, Guy Rosman, Brandon Araki, Sertac Karaman, Daniela Rus
Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing. IROS (2018)
Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III
The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. 40 (1) (2018)
Guy Rosman, Changhyun Choi, Mehmet Remzi Dogar, John W. Fisher III, Daniela Rus
Task-Specific Sensor Planning for Robotic Assembly Tasks. ICRA (2018)
Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Variational End-to-End Navigation and Localization. CoRR (2018)
Guy Rosman, Daniela Rus, John W. Fisher III
Information-Driven Adaptive Structured-Light Scanners. IEEE Trans. Computational Imaging 4 (3) (2018)
Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC (2018)
Guy Rosman, John W. Fisher III, Daniela Rus
A Nonparametric Model for Multimodal Collaborative Activities Summarization. CoRR (2017)
Cenk Baykal, Guy Rosman, Sebastian Claici, Daniela Rus
Persistent surveillance of events with unknown, time-varying statistics. ICRA (2017)
Mikhail Volkov, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, Daniela Rus
Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery. ICRA (2017)
Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA (2017)
Randi Cabezas, Maros Blaha, Sue Zheng, Guy Rosman, Konrad Schindler, John W. Fisher III
On the Role of Representations for Reasoning in Large-Scale Urban Scenes. CVPR Workshops (2017)
Guy Rosman, Liam Paull, Daniela Rus
Hybrid control and learning with coresets for autonomous vehicles. IROS (2017)
Guy Rosman, Daniela Rus, John W. Fisher III
Information-Driven Adaptive Structured-Light Scanners. CVPR (2016)
Cenk Baykal, Guy Rosman, Kyle Kotowick, Mark Donahue, Daniela Rus
Persistent Surveillance of Events with Unknown Rate Statistics. WAFR (2016)
Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel
Real-Time Depth Refinement for Specular Objects. CVPR (2016)
Soliman Nasser, Andew Barry, Marek Doniec, Guy Peled, Guy Rosman, Daniela Rus, Mikhail Volkov, Dan Feldman
Fleye on the car: big data meets the internet of things. IPSN (2015)
Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel
Real-Time Depth Refinement for Specular Objects. CoRR (2015)
Mikhail Volkov, Guy Rosman, Dan Feldman, John W. Fisher III, Daniela Rus
Coresets for visual summarization with applications to loop closure. ICRA (2015)
Anastasia Dubrovina-Karni, Guy Rosman, Ron Kimmel
Multi-Region Active Contours with a Single Level Set Function. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
Roy Or-El, Guy Rosman, Aaron Wetzler, Ron Kimmel, Alfred M. Bruckstein
RGBD-fusion: Real-time high precision depth recovery. CVPR (2015)
Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III
A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR (2014)
Guy Rosman, Mikhail Volkov, Dan Feldman, John W. Fisher III, Daniela Rus
Coresets for k-Segmentation of Streaming Data. NIPS (2014)
Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher III
Aerial Reconstructions via Probabilistic Data Fusion. CVPR (2014)
Anastasia Dubrovina, Guy Rosman, Ron Kimmel
Active Contours for Multi-region Image Segmentation with a Single Level Set Function. SSVM (2013)
Roberto Mecca, Guy Rosman, Ron Kimmel, Alfred M. Bruckstein
Perspective Photometric Stereo with Shadows. SSVM (2013)
Guy Rosman, Anastasia Dubrovina, Ron Kimmel
Patch-Collaborative Spectral Point-Cloud Denoising. Comput. Graph. Forum 32 (8) (2013)
Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization. 3DOR@Eurographics (2012)
Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
Fast Regularization of Matrix-Valued Images. ECCV (3) (2012)
Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel
Group-Valued Regularization for Analysis of Articulated Motion. ECCV Workshops (1) (2012)
Guy Rosman, Anastasia Dubrovina, Ron Kimmel
Sparse Modeling of Shape from Structured Light. 3DIMPVT (2012)
Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
Fast Regularization of Matrix-Valued Images. Efficient Algorithms for Global Optimization Methods in Computer Vision (2011)
Guy Rosman, Shachar Shem-Tov, David Bitton, Tal Nir, Gilad Adiv, Ron Kimmel, Arie Feuer, Alfred M. Bruckstein
Over-Parameterized Optical Flow Using a Stereoscopic Constraint. SSVM (2011)
Guy Rosman, Lorina Dascal, Xue-Cheng Tai, Ron Kimmel
On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering. J. Math. Imaging Vis. 40 (2) (2011)
Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel
Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. SSVM (2011)
Guy Rosman, Xue-Cheng Tai, Lorina Dascal, Ron Kimmel
Polyakov Action Minimization for Efficient Color Image Processing. ECCV Workshops (1) (2010)
Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. Int. J. Comput. Vis. 89 (1) (2010)
Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimmel
On Semi-implicit Splitting Schemes for the Beltrami Color Flow. SSVM (2009)
Yohai S. Devir, Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
On reconstruction of non-rigid shapes with intrinsic regularization. ICCV Workshops (2009)
Guy Rosman, Lorina Dascal, Avram Sidi, Ron Kimmel
Efficient Beltrami Image Filtering via Vector Extrapolation Methods. SIAM J. Imaging Sci. 2 (3) (2009)
Lorina Dascal, Guy Rosman, Ron Kimmel
Efficient Beltrami Filtering of Color Images Via Vector Extrapolation. SSVM (2007)
Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
Topologically Constrained Isometric Embedding. Human Motion (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guy Rosman