Dan Gutfreund

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 39

Top Topics

Automatic Detection

Natural Language Descriptions

Motion Planning

Generative Model

Top Venues

Publications

EunJeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions. ACL (Findings) (2024)
Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. AAAI (2024)
Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis. CoRR (2024)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. AAAI (2023)
David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time. NeurIPS (2023)
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. Comput. Aided Des. 165 (2023)
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics. CoRR (2023)
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. ICCV (2023)
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. CoRR (2023)
Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
Learning from Invalid Data: On Constraint Satisfaction in Generative Models. CoRR (2023)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
Incorporating Rich Social Interactions Into MDPs. ICRA (2022)
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
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. ICRA (2022)
Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed
LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design. CoRR (2022)
Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CoRR (2022)
Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CVPR (2022)
Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. CoRR (2022)
Nishad Gothoskar, Marco Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
3DP3: 3D Scene Perception via Probabilistic Programming. NeurIPS (2021)
Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer D. Ullman, Josh Tenenbaum, Charles Sutton
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics. NeurIPS (2021)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
Incorporating Rich Social Interactions Into MDPs. CoRR (2021)
Nishad Gothoskar, Marco Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
3DP3: 3D Scene Perception via Probabilistic Programming. CoRR (2021)
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
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks (2021)
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
An autonomous debating system. Nat. 591 (7850) (2021)
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
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. CoRR (2021)
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer Ullman
AGENT: A Benchmark for Core Psychological Reasoning. ICML (2021)
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
AGENT: A Benchmark for Core Psychological Reasoning. CoRR (2021)
Abhijit Mishra, Md. Faisal Mahbub Chowdhury, Sagar Manohar, Dan Gutfreund, Karthik Sankaranarayanan
Template Controllable keywords-to-text Generation. CoRR (2020)
Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling. CoRR (2020)
Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund
Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
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
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR (2020)
Akash Srivastava, Jessie C. Rosenberg, Dan Gutfreund, David D. Cox
SimVAE: Simulator-Assisted Training forInterpretable Generative Models. CoRR (2019)
Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
Reasoning About Human-Object Interactions Through Dual Attention Networks. CoRR (2019)
Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR (2019)
Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Identifying Interpretable Action Concepts in Deep Networks. CVPR Workshops (2019)
Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. NeurIPS (2019)
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva
Moments in Time Dataset: one million videos for event understanding. CoRR (2018)
Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu
Semantically Guided Visual Question Answering. WACV (2018)
Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
Boosting conditional probability estimators. Ann. Math. Artif. Intell. 79 (1-3) (2017)
Dan Gutfreund, Yoav Katz, Noam Slonim
Automatic Arguments Construction - From Search Engine to Research Engine. AAAI Fall Symposia (2016)
Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
Boosting Conditional Probability Estimators. ISAIM (2014)
Ehud Aharoni, Anatoly Polnarov, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, Noam Slonim
A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. ArgMining@ACL (2014)
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
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) (2014)
Shlomi Dolev, Nova Fandina, Dan Gutfreund
-Hard with Many Hard Instances. CIAC (2013)
Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira
Exploiting label dependencies for improved sample complexity. Mach. Learn. 91 (1) (2013)
Shlomi Dolev, Nova Fandina, Dan Gutfreund
Succinct Permanent is NEXP-hard with Many Hard Instances. Electron. Colloquium Comput. Complex. 19 (2012)
Zeev Dvir, Dan Gutfreund, Guy N. Rothblum, Salil P. Vadhan
On Approximating the Entropy of Polynomial Mappings. ICS (2011)
Baris Aydinlioglu, Dan Gutfreund, John M. Hitchcock, Akinori Kawachi
Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds. Comput. Complex. 20 (2) (2011)
Zeev Dvir, Dan Gutfreund, Guy N. Rothblum, Salil P. Vadhan
On Approximating the Entropy of Polynomial Mappings. Electron. Colloquium Comput. Complex. 17 (2010)
Dan Gutfreund, Akinori Kawachi
Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds. Computational Complexity Conference (2010)
Dan Gutfreund, Akinori Kawachi
Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds. Electron. Colloquium Comput. Complex. 16 (2009)
Dan Gutfreund, Guy N. Rothblum
The Complexity of Local List Decoding. APPROX-RANDOM (2008)
Dan Gutfreund, Salil P. Vadhan
Limitations of Hardness vs. Randomness under Uniform Reductions. Electron. Colloquium Comput. Complex. 15 (007) (2008)
Dan Gutfreund, Salil P. Vadhan
Limitations of Hardness vs. Randomness under Uniform Reductions. APPROX-RANDOM (2008)
Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum
A (de)constructive approach to program checking. STOC (2008)
Dan Gutfreund, Guy N. Rothblum
The Complexity of Local List Decoding. Electron. Colloquium Comput. Complex. 15 (034) (2008)
Dan Gutfreund, Amnon Ta-Shma
Worst-Case to Average-Case Reductions Revisited. APPROX-RANDOM (2007)
Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum
A (De)constructive Approach to Program Checking. Electron. Colloquium Comput. Complex. 14 (047) (2007)
Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum
Verifying and decoding in constant depth. STOC (2007)
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances. Comput. Complex. 16 (4) (2007)
Dan Gutfreund
Worst-Case Vs. Algorithmic Average-Case Complexity in the Polynomial-Time Hierarchy. APPROX-RANDOM (2006)
Dan Gutfreund, Amnon Ta-Shma
New connections between derandomization, worst-case complexity and average-case complexity. Electron. Colloquium Comput. Complex. 13 (108) (2006)
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances. Computational Complexity Conference (2005)
Emanuele Viola, Dan Gutfreund
Fooling Parity Tests with Parity Gates Electron. Colloquium Comput. Complex. (088) (2004)
Hana Chockler, Dan Gutfreund
A lower bound for testing juntas. Inf. Process. Lett. 90 (6) (2004)
Dan Gutfreund, Emanuele Viola
Fooling Parity Tests with Parity Gates. APPROX-RANDOM (2004)
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
Uniform hardness vs. randomness tradeoffs for Arthur-Merlin games. Computational Complexity Conference (2003)
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
Uniform hardness versus randomness tradeoffs for Arthur-Merlin games. Comput. Complex. 12 (3-4) (2003)