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06/20/2023
LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks
To lower the barrier to diffractive optical neural networks (DONNs) desi...
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04/25/2023
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture
Recently, there are increasing efforts on advancing optical neural netwo...
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04/10/2023
RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs
Deep neural networks (DNNs) have substantial computational and memory re...
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04/04/2023
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks
As a representative next-generation device/circuit technology beyond CMO...
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03/14/2023
Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks
Reasoning high-level abstractions from bit-blasted Boolean networks (BNs...
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09/28/2022
Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks
Diffractive optical neural networks (DONNs) have attracted lots of atten...
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08/15/2022
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
Matchmaking systems are vital for creating fair matches in online multip...
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02/15/2022
End-to-end Automatic Logic Optimization Exploration via Domain-specific Multi-armed Bandit
Recent years have seen increasing employment of decision intelligence in...
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12/16/2020
Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design
Deep neural networks (DNNs) have substantial computational requirements,...
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05/03/2020