Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Gutfreund, Dan"'
In this paper, we introduce LInK, a novel framework that integrates contrastive learning of performance and design space with optimization techniques for solving complex inverse problems in engineering design with discrete and continuous variables. W
Externí odkaz:
http://arxiv.org/abs/2405.20592
Generative models have demonstrated impressive results in vision, language, and speech. However, even with massive datasets, they struggle with precision, generating physically invalid or factually incorrect data. This is particularly problematic whe
Externí odkaz:
http://arxiv.org/abs/2306.15166
Autor:
Zhou, Guangyao, Gothoskar, Nishad, Wang, Lirui, Tenenbaum, Joshua B., Gutfreund, Dan, Lázaro-Gredilla, Miguel, George, Dileep, Mansinghka, Vikash K.
The ability to perceive and understand 3D scenes is crucial for many applications in computer vision and robotics. Inverse graphics is an appealing approach to 3D scene understanding that aims to infer the 3D scene structure from 2D images. In this p
Externí odkaz:
http://arxiv.org/abs/2302.03744
Deep generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Transformers, have shown great promise in a variety of applications, including image and speech synthesis, natural language
Externí odkaz:
http://arxiv.org/abs/2302.02913
In this paper, we introduce LINKS, a dataset of 100 million one degree of freedom planar linkage mechanisms and 1.1 billion coupler curves, which is more than 1000 times larger than any existing database of planar mechanisms and is not limited to spe
Externí odkaz:
http://arxiv.org/abs/2208.14567
Autor:
Zhi-Xuan, Tan, Gothoskar, Nishad, Pollok, Falk, Gutfreund, Dan, Tenenbaum, Joshua B., Mansinghka, Vikash K.
To facilitate the development of new models to bridge the gap between machine and human social intelligence, the recently proposed Baby Intuitions Benchmark (arXiv:2102.11938) provides a suite of tasks designed to evaluate commonsense reasoning about
Externí odkaz:
http://arxiv.org/abs/2208.02914
Autor:
Gan, Chuang, Gu, Yi, Zhou, Siyuan, Schwartz, Jeremy, Alter, Seth, Traer, James, Gutfreund, Dan, Tenenbaum, Joshua B., McDermott, Josh, Torralba, Antonio
The way an object looks and sounds provide complementary reflections of its physical properties. In many settings cues from vision and audition arrive asynchronously but must be integrated, as when we hear an object dropped on the floor and then must
Externí odkaz:
http://arxiv.org/abs/2207.03483
Autor:
Gothoskar, Nishad, Cusumano-Towner, Marco, Zinberg, Ben, Ghavamizadeh, Matin, Pollok, Falk, Garrett, Austin, Tenenbaum, Joshua B., Gutfreund, Dan, Mansinghka, Vikash K.
We present 3DP3, a framework for inverse graphics that uses inference in a structured generative model of objects, scenes, and images. 3DP3 uses (i) voxel models to represent the 3D shape of objects, (ii) hierarchical scene graphs to decompose scenes
Externí odkaz:
http://arxiv.org/abs/2111.00312
Autor:
Tejwani, Ravi, Kuo, Yen-Ling, Shu, Tianmin, Stankovits, Bennett, Gutfreund, Dan, Tenenbaum, Joshua B., Katz, Boris, Barbu, Andrei
Much of what we do as humans is engage socially with other agents, a skill that robots must also eventually possess. We demonstrate that a rich theory of social interactions originating from microsociology and economics can be formalized by extending
Externí odkaz:
http://arxiv.org/abs/2110.10298
Autor:
Gan, Chuang, Zhou, Siyuan, Schwartz, Jeremy, Alter, Seth, Bhandwaldar, Abhishek, Gutfreund, Dan, Yamins, Daniel L. K., DiCarlo, James J, McDermott, Josh, Torralba, Antonio, Tenenbaum, Joshua B.
We introduce a visually-guided and physics-driven task-and-motion planning benchmark, which we call the ThreeDWorld Transport Challenge. In this challenge, an embodied agent equipped with two 9-DOF articulated arms is spawned randomly in a simulated
Externí odkaz:
http://arxiv.org/abs/2103.14025