Dan Gutfreund

According to our database, Dan Gutfreund authored at least 54 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning.

Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.

Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed

Comput. Aided Des., December, 2023

Learning from Invalid Data: On Constraint Satisfaction in Generative Models.

Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed

CoRR, 2023

3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics.

Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka

CoRR, 2023

How hard are computer vision datasets? Calibrating dataset difficulty to viewing time.

David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation.

Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs.

Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.

Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

IEEE Trans. Pattern Anal. Mach. Intell., 2022

LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design.

Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed

CoRR, 2022

Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind.

Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka

CoRR, 2022

Incorporating Rich Social Interactions Into MDPs.

Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI.

Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Finding Fallen Objects Via Asynchronous Audio-Visual Integration.

Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

An autonomous debating system.

Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov

Nat., 2021

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI.

Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum

CoRR, 2021

A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics.

Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer D. Ullman, Josh Tenenbaum, Charles Sutton

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

3DP3: 3D Scene Perception via Probabilistic Programming.

Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

AGENT: A Benchmark for Core Psychological Reasoning.

Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Moments in Time Dataset: One Million Videos for Event Understanding.

Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Template Controllable keywords-to-text Generation.

Abhijit Mishra, Md. Faisal Mahbub Chowdhury, Sagar Manohar, Dan Gutfreund, Karthik Sankaranarayanan

CoRR, 2020

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling.

Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund

CoRR, 2020

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins

CoRR, 2020

2019

SimVAE: Simulator-Assisted Training forInterpretable Generative Models.

Akash Srivastava, Jessie C. Rosenberg, Dan Gutfreund, David D. Cox

CoRR, 2019

ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.

Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Reasoning About Human-Object Interactions Through Dual Attention Networks.

Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Identifying Interpretable Action Concepts in Deep Networks.

Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Grounding Spoken Words in Unlabeled Video.

Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Semantically Guided Visual Question Answering.

Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Boosting conditional probability estimators.

Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi

Ann. Math. Artif. Intell., 2017

2016

Automatic Arguments Construction - From Search Engine to Research Engine.

Dan Gutfreund, Yoav Katz, Noam Slonim

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2014

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.

Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund

Proceedings of the COLING 2014, 2014

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics.

Ehud Aharoni, Anatoly Polnarov, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, Noam Slonim

Proceedings of the First Workshop on Argument Mining, 2014

2013

Exploiting label dependencies for improved sample complexity.

Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira

Mach. Learn., 2013

Succinct Permanent Is <i>NEXP</i>-Hard with Many Hard Instances.

Shlomi Dolev, Nova Fandina, Dan Gutfreund

Proceedings of the Algorithms and Complexity, 8th International Conference, 2013

2012

Succinct Permanent is NEXP-hard with Many Hard Instances.

Shlomi Dolev, Nova Fandina, Dan Gutfreund

Electron. Colloquium Comput. Complex., 2012

2011

Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds.

Baris Aydinlioglu, Dan Gutfreund, John M. Hitchcock, Akinori Kawachi

Comput. Complex., 2011

2010

On Approximating the Entropy of Polynomial Mappings.

Zeev Dvir, Dan Gutfreund, Guy N. Rothblum, Salil P. Vadhan

Electron. Colloquium Comput. Complex., 2010

2009

Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds.

Dan Gutfreund, Akinori Kawachi

Electron. Colloquium Comput. Complex., 2009

2008

Limitations of Hardness vs. Randomness under Uniform Reductions.

Dan Gutfreund, Salil P. Vadhan

Electron. Colloquium Comput. Complex., 2008

The Complexity of Local List Decoding.

Dan Gutfreund, Guy N. Rothblum

Electron. Colloquium Comput. Complex., 2008

2007

A (De)constructive Approach to Program Checking.

Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum

Electron. Colloquium Comput. Complex., 2007

If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances.

Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma

Comput. Complex., 2007

Verifying and decoding in constant depth.

Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum

Proceedings of the 39th Annual ACM Symposium on Theory of Computing, 2007

Worst-Case to Average-Case Reductions Revisited.

Dan Gutfreund, Amnon Ta-Shma

Proceedings of the Approximation, 2007

2006

New connections between derandomization, worst-case complexity and average-case complexity.

Dan Gutfreund, Amnon Ta-Shma

Electron. Colloquium Comput. Complex., 2006

Worst-Case Vs. Algorithmic Average-Case Complexity in the Polynomial-Time Hierarchy.

Dan Gutfreund

Proceedings of the Approximation, 2006

2005

Derandomization, hard functions, and average-case complexity (דה-רנדומיזציה, פונקציות קשות וסיבוכיות ממוצעת.).

Dan Gutfreund

PhD thesis, 2005

2004

A lower bound for testing juntas.

Hana Chockler, Dan Gutfreund

Inf. Process. Lett., 2004

Fooling Parity Tests with Parity Gates

Emanuele Viola, Dan Gutfreund

Electron. Colloquium Comput. Complex., 2004

2003

Trading Help for Interaction in Statistical Zero-Knowledge Proofs.

Michael Ben-Or, Danny Gutfreund

J. Cryptol., 2003

Uniform hardness versus randomness tradeoffs for Arthur-Merlin games.

Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma

Comput. Complex., 2003

Uniform hardness vs. randomness tradeoffs for Arthur-Merlin games.

Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma

Proceedings of the 18th Annual IEEE Conference on Computational Complexity (Complexity 2003), 2003

2000

Increasing the Power of the Dealer in Non-interactive Zero-Knowledge Proof Systems.

Danny Gutfreund, Michael Ben-Or

Proceedings of the Advances in Cryptology, 2000