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09/06/2023
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
Coverage path planning (CPP) is a critical problem in robotics, where th...
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08/03/2023
Floorplet: Performance-aware Floorplan Framework for Chiplet Integration
A chiplet is an integrated circuit that encompasses a well-defined subse...
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07/06/2023
3D Environment Modeling for Falsification and Beyond with Scenic 3.0
We present a major new version of Scenic, a probabilistic programming la...
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05/10/2023
From Electronic Design Automation to Building Design Automation: Challenges and Opportunities
Design automation, which involves the use of software tools and technolo...
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01/26/2023
Learning to Generate All Feasible Actions
Several machine learning (ML) applications are characterized by searchin...
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11/25/2020
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation
Thanks to large-scale labeled training data, deep neural networks (DNNs)...
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10/13/2020
Scenic: A Language for Scenario Specification and Data Generation
We propose a new probabilistic programming language for the design and a...
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09/01/2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Large-scale labeled training datasets have enabled deep neural networks ...
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09/25/2018
Scenic: Language-Based Scene Generation
Synthetic data has proved increasingly useful in both training and testi...
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03/31/2018
