Hod Lipson

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All published works

Action	Title	Year	Authors
+ PDF Chat	AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration	2024	Jiong Lin Lechen Zhang Kwan-Soo Lee Jifeng Ning Judah Goldfeder Hod Lipson
+ PDF Chat	Robot Metabolism: Towards machines that can grow by consuming other machines	2024	Philippe M. Wyder Riyaan Bakhda Meiqi Zhao Quinn A. Booth Matthew Ethan Modi Andrew H. Song Simon Kang Jiahao Wu Priya Patel Robert T. Kasumi
+ PDF Chat	Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks	2024	Judah Goldfeder Quinten Roets Gabe Guo John Wright Hod Lipson
+ PDF Chat	Diffusion Models Are Promising for Ab Initio Structure Solutions from Nanocrystalline Powder Diffraction Data	2024	Gabe Guo Tristan Saidi Maxwell W. Terban Simon J. L. Billinge Hod Lipson
+ PDF Chat	High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning	2024	Lennart Schulze Hod Lipson
+ PDF Chat	Teaching Robots to Build Simulations of Themselves	2024	Yuhang Hu Jiong Lin Hod Lipson
+ PDF Chat	Reconfigurable Robot Identification from Motion Data	2024	Yuhang Hu Yunzhe Wang Ruibo Liu Zhou Shen Hod Lipson
+ PDF Chat	Rapid Grasping of Fabric Using Bionic Soft Grippers with Elastic Instability	2023	Zechen Xiong Zihan Guo Yuan Li Yufeng Su Yitong Liu Hod Lipson
+ PDF Chat	Fast Untethered Soft Robotic Crawler with Elastic Instability	2023	Zechen Xiong Yufeng Su Hod Lipson
+	Principled Weight Initialization for Hypernetworks	2023	Oscar Chang Lampros Flokas Hod Lipson
+	Assessing SATNet's Ability to Solve the Symbol Grounding Problem	2023	Oscar Chang Lampros Flokas Hod Lipson Michael Spranger
+	Rapid grasping of fabric using bionic soft grippers with elastic instability	2023	Zechen Xiong Zihan Guo Yuan Li Yufeng Su Yitong Liu Hod Lipson
+	Direct Robot Configuration Space Construction using Convolutional Encoder-Decoders	2023	Christopher Benka C. J. Gross Riya Gupta Hod Lipson
+	DeepCollide: Scalable Data-Driven High DoF Configuration Space Modeling using Implicit Neural Representations	2023	Gabriel Guo Hod Lipson
+	High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning	2023	Lennart Schulze Hod Lipson
+	Knolling bot: A Transformer-based Approach to Organizing a Messy Table	2023	Yuhang Hu Zhizhuo Zhang Ruibo Liu Philippe M. Wyder Hod Lipson
+	Accelerating Aquatic Soft Robots with Elastic Instability Effects	2023	Zechen Xiong Jeong Hun Lee Hod Lipson
+	Knolling bot 2.0: Enhancing Object Organization with Self-supervised Graspability Estimation	2023	Yuhang Hu Zhizhuo Zhang Hod Lipson
+	Designing a Hair-Clip Inspired Bistable Mechanism for Soft Fish Robots	2023	Zechen Xiong Hod Lipson
+	CarbonFish -- A Bistable Underactuated Compliant Fish Robot capable of High Frequency Undulation	2023	Zechen Xiong Hod Lipson
+	Teaching Robots to Build Simulations of Themselves	2023	Yuhang Hu Jiong Lin Hod Lipson
+	Accelerating Meta-Learning by Sharing Gradients	2023	Oscar Chang Hod Lipson
+	Balanced and Deterministic Weight-sharing Helps Network Performance	2023	Oscar Chang Hod Lipson
+	Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning	2023	Gabe Guo Judah Goldfeder Ling Lan Aniv Ray Albert Hanming Yang Boyuan Chen Simon J. L. Billinge Hod Lipson
+	Egocentric Visual Self-Modeling for Legged Robot Locomotion	2022	Yuhang Hu Boyuan Chen Hod Lipson
+	A Massively-Parallel 3D Simulator for Soft and Hybrid Robots	2022	Joel Clay Sofia Wyetzner Alex Gaudio Boxi Xia Andrew Moshova Jacob Austin Max Segan Hod Lipson
+	Fast Swimming Robots Based on Elastic Instability	2022	Zechen Xiong Liqi Chen Wenxiong Hao Pengfei Yang Shicheng Wang Sarah Li Wilkinson Yufeng Su Xiangyi Ren Nipun Poddar Xi Chen
+	On the Origins of Self-Modeling	2022	Robert Kwiatkowski Yuhang Hu Boyuan Chen Hod Lipson
+	Fast Untethered Soft Robotic Crawler with Elastic Instability	2022	Zechen Xiong Yufeng Su Hod Lipson
+	Visual design intuition: Predicting dynamic properties of beams from raw cross-section images.	2021	Philippe M. Wyder Hod Lipson
+ PDF Chat	Full-Body Visual Self-Modeling of Robot Morphologies	2021	Boyuan Chen Robert Kwiatkowski Carl Vondrick Hod Lipson
+ PDF Chat	Visual design intuition: predicting dynamic properties of beams from raw cross-section images	2021	Philippe M. Wyder Hod Lipson
+ PDF Chat	A Legged Soft Robot Platform for Dynamic Locomotion	2021	Boxi Xia Jiaming Fu Hongbo Zhu Zhicheng Song Yibo Jiang Hod Lipson
+ PDF Chat	Visual Perspective Taking for Opponent Behavior Modeling	2021	Boyuan Chen Yuhang Hu Robert Kwiatkowski Shuran Song Hod Lipson
+ PDF Chat	Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models	2021	Boyuan Chen Yuhang Hu Lianfeng Li S. B. Cummings Hod Lipson
+ PDF Chat	Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models	2021	Boyuan Chen Yuhang Hu Lianfeng Li S. B. Cummings Hod Lipson
+	Beyond Categorical Label Representations for Image Classification	2021	Boyuan Chen Yu Li Sunand Raghupathi Hod Lipson
+	Visual Perspective Taking for Opponent Behavior Modeling	2021	Boyuan Chen Yuhang Hu Robert Kwiatkowski Shuran Song Hod Lipson
+	The Boombox: Visual Reconstruction from Acoustic Vibrations	2021	Boyuan Chen Mia Chiquier Hod Lipson Carl Vondrick
+	Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models	2021	Boyuan Chen Yuhang Hu Lianfeng Li S. B. Cummings Hod Lipson
+	Full-Body Visual Self-Modeling of Robot Morphologies	2021	Boyuan Chen Robert Kwiatkowski Carl Vondrick Hod Lipson
+	Discovering State Variables Hidden in Experimental Data	2021	Boyuan Chen Kuang Huang Sunand Raghupathi Ishaan Chandratreya Qiang Du Hod Lipson
+ PDF Chat	Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA	2020	Jacob Austin Rafael Corrales-Fatou Sofia Wyetzner Hod Lipson
+	A Legged Soft Robot Platform for Dynamic Locomotion	2020	Boxi Xia Jiaming Fu Hongbo Zhu Zhicheng Song Yibo Jiang Hod Lipson
+	Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA	2019	Jacob Austin Rafael Corrales-Fatou Sofia Wyetzner Hod Lipson
+	Visual Hide and Seek	2019	Boyuan Chen Shuran Song Hod Lipson Carl Vondrick
+	Automated Crabgrass Detection in Aerial Imagery with Context	2019	Delia Bullock Andrew Mangèni Tyr Wiesner‐Hanks Chad DeChant Ethan L. Stewart Nicholas Kaczmar Rebecca Nelson Michael A. Gore Hod Lipson
+	Automated Weed Detection in Aerial Imagery with Context	2019	Delia Bullock Andrew Mangèni Tyr Wiesner‐Hanks Chad DeChant Ethan L. Stewart Nicholas Kaczmar Judith M. Kolkman Rebecca Nelson Michael A. Gore Hod Lipson
+	Agent Embeddings: A Latent Representation for Pole-Balancing Networks	2019	Oscar Chang Robert Kwiatkowski Siyuan Chen Hod Lipson
+	Seven Myths in Machine Learning Research	2019	Oscar Chang Hod Lipson
+	Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network	2019	Oscar Chang Yuling Yao David Williams-King Hod Lipson
+	Zero Shot Learning on Simulated Robots	2019	Robert Kwiatkowski Hod Lipson
+	Automated Grassy Weed Detection in Aerial Imagery with Context.	2019	Delia Bullock Andrew Mangèni Tyr Wiesner‐Hanks Chad DeChant Ethan L. Stewart Nicholas Kaczmar Rebecca Nelson Michael A. Gore Hod Lipson
+	Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA	2019	Jacob Austin Rafael Corrales-Fatou Sofia Wyetzner Hod Lipson
+	Automated Weed Detection in Aerial Imagery with Context	2019	Delia Bullock Andrew Mangèni Tyr Wiesner‐Hanks Chad DeChant Ethan L. Stewart Nicholas Kaczmar Judith M. Kolkman Rebecca Nelson Michael A. Gore Hod Lipson
+	Visual Hide and Seek	2019	Boyuan Chen Shuran Song Hod Lipson Carl Vondrick
+ PDF Chat	Scalable co-optimization of morphology and control in embodied machines	2018	Nick Cheney Josh Bongard Vytas SunSpiral Hod Lipson
+	Neural Network Quine	2018	Oscar Chang Hod Lipson
+	Autostacker: A Compositional Evolutionary Learning System	2018	Boyuan Chen Harvey Wu Warren Mo Ishanu Chattopadhyay Hod Lipson
+	Agent Embeddings: A Latent Representation for Pole-Balancing Networks	2018	Oscar Chang Robert Kwiatkowski Siyuan Chen Hod Lipson
+	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities	2018	Joel Lehman Jeff Clune Dusan Misevic Christoph Adami Julie Beaulieu Peter J. Bentley S BERNARD Guillaume Beslon David M. Bryson Nick Cheney
+	Neural Network Quine	2018	Oscar Chang Hod Lipson
+	Scalable Co-Optimization of Morphology and Control in Embodied Machines	2017	Nick Cheney Josh Bongard Vytas SunSpiral Hod Lipson
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson
+	Convergent Learning: Do different neural networks learn the same representations?	2015	Yixuan Li Jason Yosinski Jeff Clune Hod Lipson John E. Hopcroft
+	How transferable are features in deep neural networks	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson
+ PDF Chat	Computing entropy rate of symbol sources &amp; a distribution-free limit theorem	2014	Ishanu Chattopadhyay Hod Lipson
+	Computing Entropy Rate Of Symbol Sources & A Distribution-free Limit Theorem	2014	Ishanu Chattopadhyay Hod Lipson
+	Data Smashing	2014	Ishanu Chattopadhyay Hod Lipson
+	Data Smashing	2014	Ishanu Chattopadhyay Hod Lipson
+	How transferable are features in deep neural networks?	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson
+	Computing Entropy Rate Of Symbol Sources & A Distribution-free Limit Theorem	2014	Ishanu Chattopadhyay Hod Lipson
+ PDF Chat	Particle shape effects on the stress response of granular packings	2013	Athanasios G. Athanassiadis Marc Z. Miskin Paul D. Kaplan Nicholas Rodenberg Seung Hwan Lee Jason Merritt Eric Brown John R. Amend Hod Lipson Heinrich M. Jaeger
+ PDF Chat	The evolutionary origins of modularity	2013	Jeff Clune Jean-Baptiste Mouret Hod Lipson
+	Hands-free Evolution of 3D-printable Objects via Eye Tracking	2013	Nick Cheney Jeff Clune Jason Yosinski Hod Lipson
+ PDF Chat	Functional Inference of Complex Anatomical Tendinous Networks at a Macroscopic Scale via Sparse Experimentation	2012	Anupam Saxena Hod Lipson Francisco J. Valero‐Cuevas
+	Dynamic Simulation of Soft Heterogeneous Objects	2012	Hod Lipson Jonathan G. Hiller
+	Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons	2011	Daniel Ly Ashutosh Saxena Hod Lipson
+	Universal robotic gripper based on the jamming of granular material	2010	Eric Brown Nicholas Rodenberg John R. Amend Annan Mozeika E. Steltz M. R. Zakin Hod Lipson Heinrich M. Jaeger
+	Neural Network Based Reconstruction of a 3D Object from a 2D Wireframe	2010	Kyle Johnson Clayton Chang Hod Lipson

Common Coauthors

Coauthor	Papers Together
Oscar Chang	10
Boyuan Chen	8
Boyuan Chen	8
Zechen Xiong	8
Jeff Clune	7
Robert Kwiatkowski	6
Ishanu Chattopadhyay	6
Yufeng Su	5
Jason Yosinski	5
Carl Vondrick	5
Jacob Austin	4
Judah Goldfeder	4
Tyr Wiesner‐Hanks	4
Sofia Wyetzner	4
Rebecca Nelson	4
Ethan L. Stewart	4
Michael A. Gore	4
Nick Cheney	4
Andrew Mangèni	4
Shuran Song	4
Chad DeChant	4
Philippe M. Wyder	4
Nicholas Kaczmar	4
Yuhang Hu	3
Yuhang Hu	3
Delia Bullock	3
S. B. Cummings	3
Gabe Guo	3
Yuhang Hu	3
Jiong Lin	3
Lianfeng Li	3
Rafael Corrales-Fatou	3
Boxi Xia	3
Yuhang Hu	3
Yitong Liu	2
Hongbo Zhu	2
Siyuan Chen	2
Zihan Guo	2
Yoshua Bengio	2
Zhicheng Song	2
Eric Brown	2
Judith M. Kolkman	2
Yuan Li	2
Jean-Baptiste Mouret	2
Lampros Flokas	2
Simon J. L. Billinge	2
Sunand Raghupathi	2
Josh Bongard	2
Vytas SunSpiral	2
Lennart Schulze	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+ PDF Chat	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Alexey Dosovitskiy Philipp Fischer Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox	4
+ PDF Chat	Two Body Problem: Collaborative Visual Task Completion	2019	Unnat Jain Luca Weihs Eric Kolve Mohammad Rastegari Svetlana Lazebnik Ali Farhadi Alexander G. Schwing Aniruddha Kembhavi	3
+	Unity: A General Platform for Intelligent Agents	2018	Arthur Juliani Vincent-Pierre Berges Esh Vckay Yuan Gao Hunter Henry Marwan Mattar Danny B. Lange	3
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments	2018	Xi Chen Ali Ghadirzadeh John Folkesson Mårten Björkman Patric Jensfelt	2
+	Learning to Communicate with Deep Multi−Agent Reinforcement Learning	2016	Jakob Foerster Ioannis Alexandros Assael Nando de Freitas Shimon Whiteson	2
+	How transferable are features in deep neural networks	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson	2
+ PDF Chat	Hand Keypoint Detection in Single Images Using Multiview Bootstrapping	2017	Tomas Simon Hanbyul Joo Iain Matthews Yaser Sheikh	2
+ PDF Chat	Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation	2018	Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel	2
+	Visualizing and Understanding Convolutional Networks	2013	Matthew D. Zeiler Rob Fergus	2
+ PDF Chat	Animating Arbitrary Objects via Deep Motion Transfer	2019	Aliaksandr Siarohin Stéphane Lathuilière Sergey Tulyakov Elisa Ricci Nicu Sebe	2
+	Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control	2018	Frederik Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine	2
+	Learning and Querying Fast Generative Models for Reinforcement Learning	2018	Lars Buesing Théophane Weber Sébastien Racanière S. M. Ali Eslami Danilo Jimenez Rezende David Reichert Fabio Viola Frederic Besse Karol Gregor Demis Hassabis	2
+	Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning.	2017	Yunpeng Pan Ching-An Cheng Kamil Saigol Keuntaek Lee Xinyan Yan Evangelos A. Theodorou Byron Boots	2
+	Emergent Communication through Negotiation	2018	Kris Cao Angeliki Lazaridou Marc Lanctot Joel Z. Leibo Karl Tuyls Stephen Clark	2
+ PDF Chat	X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes	2018	Olivia Wiles A. Sophia Koepke Andrew Zisserman	2
+	Computing Higher Order Derivatives of Matrix and Tensor Expressions	2018	Soeren Laue Matthias Mitterreiter Joachim Giesen	2
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	2
+	Multi-Agent Cooperation and the Emergence of (Natural) Language	2016	Angeliki Lazaridou Alexander Peysakhovich Marco Baroni	2
+ PDF Chat	OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields	2019	Zhe Cao Gines Hidalgo Tomas Simon Shih-En Wei Yaser Sheikh	2
+ PDF Chat	End-to-End Driving Via Conditional Imitation Learning	2018	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy	2
+ PDF Chat	On the Glivenko-Cantelli theorem	1970	Flemming Tops�e	2
+ PDF Chat	Deep Visual MPC-Policy Learning for Navigation	2019	Noriaki Hirose Fei Xia Roberto Martín-Martín Amir Sadeghian Silvio Savarese	2
+	An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution	2018	Rosanne Liu Joel Lehman Piero Molino Felipe Petroski Such Eric Frank A. E. Sergeev Jason Yosinski	2
+	Universal robotic gripper based on the jamming of granular material	2010	Eric Brown Nicholas Rodenberg John R. Amend Annan Mozeika E. Steltz M. R. Zakin Hod Lipson Heinrich M. Jaeger	2
+	Fixup Initialization: Residual Learning Without Normalization.	2019	Hongyi Zhang Yann Dauphin Tengyu Ma	2
+ PDF Chat	Emergence of Grounded Compositional Language in Multi-Agent Populations	2018	Igor Mordatch Pieter Abbeel	2
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Ambient Sound Provides Supervision for Visual Learning	2016	Andrew Owens Jiajun Wu Josh H. McDermott William T. Freeman Antonio Torralba	2
+	Recurrent Environment Simulators	2017	Silvia Chiappa Sébastien Racanière Daan Wierstra Shakir Mohamed	2
+ PDF Chat	Entropy estimation of symbol sequences	1996	Thomas Schürmann Peter Grassberger	2
+ PDF Chat	Deep visual foresight for planning robot motion	2017	Chelsea Finn Sergey Levine	2
+	A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games	2016	Felix Leibfried Nate Kushman Katja Hofmann	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Autonomous agents modelling other agents: A comprehensive survey and open problems	2018	Stefano V. Albrecht Peter Stone	2
+	Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation	2017	Wei Gao David Hsu Wee Sun Lee Shengmei Shen Karthikk Subramanian	2
+	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning	2017	Felipe Petroski Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune	2
+ PDF Chat	An Algorithmic Perspective on Imitation Learning	2018	Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters	2
+	FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning	2018	Pararth Shah Marek Fišer Aleksandra Faust J. Chase Kew Dilek Hakkani‐Tür	2
+	A note on Kolmogorov complexity and entropy	2003	Yasuichi Horibe	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+ PDF Chat	The Structure and Function of Complex Networks	2003	Michael Newman	2