Dan Gutfreund

78 papers A* 14A 5C 1Misc 1Journal 45Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge.
CoRR
Junhong Lin, Bing Zhang, Song Wang, Ziyan Liu, Dan Gutfreund, Julian Shun, Yada Zhu
2026 J jnl
LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface.
CoRR
Michael Hind, Basel Shbita, Bo Wu, Farhan Ahmed, Chad DeLuca, Nathan Fulton, David D. Cox, Dan Gutfreund
2025 J jnl
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization.
CoRR
Iris Xu, Guangtao Zeng, Zexue He, Charles Jin, Aldo Pareja, Dan Gutfreund, Chuang Gan, Zhang-Wei Hong
2025 J jnl
ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation.
CoRR
Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Zexue He, Shafiq Abedin, Jennifer Sun, Ben Wiesel, Eli Schwartz, Ahmed Nassar, Bo Wu, Assaf Arbelle, Aude Oliva, Dan Gutfreund, Leonid Karlinsky, Rogério Feris
2025 J jnl
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence.
CoRR
Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025 A* conf
M+: Extending MemoryLLM with Scalable Long-Term Memory.
ICML
Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025 J jnl
M+: Extending MemoryLLM with Scalable Long-Term Memory.
CoRR
Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025 J jnl
Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering.
CoRR
Guangtao Zeng, Maohao Shen, Delin Chen, Zhenting Qi, Subhro Das, Dan Gutfreund, David Cox, Gregory W. Wornell, Wei Lu, Zhang-Wei Hong, Chuang Gan
2024 — conf
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions.
ACL (Findings)
Eunjeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost
2024 J jnl
Constraining Generative Models for Engineering Design with Negative Data.
Trans. Mach. Learn. Res.
Lyle Regenwetter, Giorgio Giannone, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2024 J jnl
LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis.
CoRR
Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
2024 J jnl
LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis.
Trans. Mach. Learn. Res.
Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
2024 A* conf
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning.
AAAI
Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan
2023 J jnl
3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics.
CoRR
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
2023 A* conf
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation.
ICCV
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
2023 J jnl
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.
Comput. Aided Des.
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023 J jnl
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.
CoRR
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023 A* conf
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time.
NeurIPS
David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu
2023 J jnl
Learning from Invalid Data: On Constraint Satisfaction in Generative Models.
CoRR
Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023 A* conf
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs.
AAAI
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
2022 A* conf
Finding Fallen Objects Via Asynchronous Audio-Visual Integration.
CVPR
Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba
2022 J jnl
Finding Fallen Objects Via Asynchronous Audio-Visual Integration.
CoRR
Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba
2022 A* conf
Incorporating Rich Social Interactions Into MDPs.
ICRA
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
2022 J jnl
LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design.
CoRR
Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2022 J jnl
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2022 J jnl
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind.
CoRR
Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka
2022 A* conf
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI.
ICRA
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
2021 A* conf
3DP3: 3D Scene Perception via Probabilistic Programming.
NeurIPS
Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
2021 J jnl
3DP3: 3D Scene Perception via Probabilistic Programming.
CoRR
Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
2021 A* conf
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics.
NeurIPS
Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer D. Ullman, Josh Tenenbaum, Charles Sutton
2021 A* conf
AGENT: A Benchmark for Core Psychological Reasoning.
ICML
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
2021 J jnl
AGENT: A Benchmark for Core Psychological Reasoning.
CoRR
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
2021 J jnl
An autonomous debating system.
Nat.
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
2021 J jnl
Incorporating Rich Social Interactions Into MDPs.
CoRR
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
2021 J jnl
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI.
CoRR
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
2021 — conf
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.
NeurIPS Datasets and Benchmarks
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
2020 J jnl
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling.
CoRR
Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
2020 J jnl
Moments in Time Dataset: One Million Videos for Event Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund
2020 J jnl
Template Controllable keywords-to-text Generation.
CoRR
Abhijit Mishra, Md. Faisal Mahbub Chowdhury, Sagar Manohar, Dan Gutfreund, Karthik Sankaranarayanan
2020 J jnl
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.
CoRR
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
2019 — conf
Identifying Interpretable Action Concepts in Deep Networks.
CVPR Workshops
Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2019 J jnl
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.
CoRR
Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2019 A* conf
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.
NeurIPS
Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz
2019 J jnl
Reasoning About Human-Object Interactions Through Dual Attention Networks.
CoRR
Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
2019 J jnl
SimVAE: Simulator-Assisted Training forInterpretable Generative Models.
CoRR
Akash Srivastava, Jessie C. Rosenberg, Dan Gutfreund, David D. Cox
2018 J jnl
Moments in Time Dataset: one million videos for event understanding.
CoRR
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva
2018 A conf
Semantically Guided Visual Question Answering.
WACV
Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu
2017 J jnl
Boosting conditional probability estimators.
Ann. Math. Artif. Intell.
Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
2016 — conf
Automatic Arguments Construction - From Search Engine to Research Engine.
AAAI Fall Symposia
Dan Gutfreund, Yoav Katz, Noam Slonim
2014 — conf
A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics.
ArgMining@ACL
Ehud Aharoni, Anatoly Polnarov, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, Noam Slonim
2014 Misc conf
Boosting Conditional Probability Estimators.
ISAIM
Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
2014 — conf
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.
COLING (Demos)
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
2013 J jnl
Exploiting label dependencies for improved sample complexity.
Mach. Learn.
Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira
2013 C conf
Succinct Permanent Is
CIAC
Shlomi Dolev, Nova Fandina, Dan Gutfreund
2012 J jnl
Succinct Permanent is NEXP-hard with Many Hard Instances.
Electron. Colloquium Comput. Complex.
Shlomi Dolev, Nova Fandina, Dan Gutfreund
2011 J jnl
Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds.
Comput. Complex.
Baris Aydinlioglu, Dan Gutfreund, John M. Hitchcock, Akinori Kawachi
2011 A conf
On Approximating the Entropy of Polynomial Mappings.
ICS
Zeev Dvir, Dan Gutfreund, Guy N. Rothblum, Salil P. Vadhan
2010 A conf
Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds.
CCC
Dan Gutfreund, Akinori Kawachi
2010 J jnl
On Approximating the Entropy of Polynomial Mappings.
Electron. Colloquium Comput. Complex.
Zeev Dvir, Dan Gutfreund, Guy N. Rothblum, Salil P. Vadhan
2009 J jnl
Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds.
Electron. Colloquium Comput. Complex.
Dan Gutfreund, Akinori Kawachi
2008 A* conf
A (de)constructive approach to program checking.
STOC
Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum
2008 — conf
Limitations of Hardness vs. Randomness under Uniform Reductions.
APPROX-RANDOM
Dan Gutfreund, Salil P. Vadhan
2008 J jnl
Limitations of Hardness vs. Randomness under Uniform Reductions.
Electron. Colloquium Comput. Complex.
Dan Gutfreund, Salil P. Vadhan
2008 — conf
The Complexity of Local List Decoding.
APPROX-RANDOM
Dan Gutfreund, Guy N. Rothblum
2008 J jnl
The Complexity of Local List Decoding.
Electron. Colloquium Comput. Complex.
Dan Gutfreund, Guy N. Rothblum
2007 J jnl
A (De)constructive Approach to Program Checking.
Electron. Colloquium Comput. Complex.
Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum
2007 J jnl
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances.
Comput. Complex.
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
2007 A* conf
Verifying and decoding in constant depth.
STOC
Shafi Goldwasser, Dan Gutfreund, Alexander Healy, Tali Kaufman, Guy N. Rothblum
2007 — conf
Worst-Case to Average-Case Reductions Revisited.
APPROX-RANDOM
Dan Gutfreund, Amnon Ta-Shma
2006 J jnl
New connections between derandomization, worst-case complexity and average-case complexity.
Electron. Colloquium Comput. Complex.
Dan Gutfreund, Amnon Ta-Shma
2006 — conf
Worst-Case Vs. Algorithmic Average-Case Complexity in the Polynomial-Time Hierarchy.
APPROX-RANDOM
Dan Gutfreund
2005 — —
Derandomization, hard functions, and average-case complexity (דה-רנדומיזציה, פונקציות קשות וסיבוכיות ממוצעת.).
Dan Gutfreund
2005 A conf
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances.
CCC
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
2004 J jnl
A lower bound for testing juntas.
Inf. Process. Lett.
Hana Chockler, Dan Gutfreund
2004 J jnl
Fooling Parity Tests with Parity Gates
Electron. Colloquium Comput. Complex.
Emanuele Viola, Dan Gutfreund
2004 — conf
Fooling Parity Tests with Parity Gates.
APPROX-RANDOM
Dan Gutfreund, Emanuele Viola
2003 J jnl
Uniform hardness versus randomness tradeoffs for Arthur-Merlin games.
Comput. Complex.
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
2003 A conf
Uniform hardness vs. randomness tradeoffs for Arthur-Merlin games.
CCC
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma