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Refinado por: assunto: Computer Science - Learning remover
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11
Compositional Image Decomposition with Diffusion Models
Compositional Image Decomposition with Diffusion Models
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Compositional Image Decomposition with Diffusion Models

Su, Jocelin ; Liu, Nan ; Wang, Yanbo ; Tenenbaum, Joshua B ; Du, Yilun

arXiv.org, 2024-06

Ithaca: Cornell University Library, arXiv.org

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12
What Planning Problems Can A Relational Neural Network Solve?
What Planning Problems Can A Relational Neural Network Solve?
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What Planning Problems Can A Relational Neural Network Solve?

Mao, Jiayuan ; Lozano-Pérez, Tomás ; Tenenbaum, Joshua B ; Leslie Pack Kaelbling

arXiv.org, 2024-05

Ithaca: Cornell University Library, arXiv.org

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13
Tactile Estimation of Extrinsic Contact Patch for Stable Placement
Tactile Estimation of Extrinsic Contact Patch for Stable Placement
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Tactile Estimation of Extrinsic Contact Patch for Stable Placement

Ota, Kei ; Jha, Devesh K ; Krishna Murthy Jatavallabhula ; Kanezaki, Asako ; Tenenbaum, Joshua B

arXiv.org, 2024-03

Ithaca: Cornell University Library, arXiv.org

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14
Learning Iterative Reasoning through Energy Minimization
Learning Iterative Reasoning through Energy Minimization
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Learning Iterative Reasoning through Energy Minimization

Du, Yilun ; Li, Shuang ; Tenenbaum, Joshua B ; Mordatch, Igor

arXiv.org, 2022-06

Ithaca: Cornell University Library, arXiv.org

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15
Drawing out of Distribution with Neuro-Symbolic Generative Models
Drawing out of Distribution with Neuro-Symbolic Generative Models
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Drawing out of Distribution with Neuro-Symbolic Generative Models

Liang, Yichao ; Tenenbaum, Joshua B ; Le, Tuan Anh ; Siddharth, N

arXiv.org, 2022-06

Ithaca: Cornell University Library, arXiv.org

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16
Designing Perceptual Puzzles by Differentiating Probabilistic Programs
Designing Perceptual Puzzles by Differentiating Probabilistic Programs
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Designing Perceptual Puzzles by Differentiating Probabilistic Programs

Chandra, Kartik ; Li, Tzu-Mao ; Tenenbaum, Joshua ; Ragan-Kelley, Jonathan

arXiv.org, 2022-04

Ithaca: Cornell University Library, arXiv.org

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17
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
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Map Induction: Compositional spatial submap learning for efficient exploration in novel environments

Sharma, Sugandha ; Curtis, Aidan ; Kryven, Marta ; Tenenbaum, Josh ; Fiete, Ila

arXiv.org, 2022-03

Ithaca: Cornell University Library, arXiv.org

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18
Learning Reusable Manipulation Strategies
Learning Reusable Manipulation Strategies
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Learning Reusable Manipulation Strategies

Mao, Jiayuan ; Tenenbaum, Joshua B ; Lozano-Pérez, Tomás ; Leslie Pack Kaelbling

arXiv.org, 2023-11

Ithaca: Cornell University Library, arXiv.org

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19
Inferring Relational Potentials in Interacting Systems
Inferring Relational Potentials in Interacting Systems
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Inferring Relational Potentials in Interacting Systems

Comas-Massagué, Armand ; Du, Yilun ; Fernandez, Christian ; Ghimire, Sandesh ; Sznaier, Mario ; Tenenbaum, Joshua B ; Camps, Octavia

arXiv.org, 2023-10

Ithaca: Cornell University Library, arXiv.org

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20
Are Deep Neural Networks SMARTer than Second Graders?
Are Deep Neural Networks SMARTer than Second Graders?
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Are Deep Neural Networks SMARTer than Second Graders?

Cherian, Anoop ; Kuan-Chuan Peng ; Lohit, Suhas ; Smith, Kevin A ; Tenenbaum, Joshua B

arXiv.org, 2023-09

Ithaca: Cornell University Library, arXiv.org

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