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09/20/2023
Conformalized Multimodal Uncertainty Regression and Reasoning
This paper introduces a lightweight uncertainty estimator capable of pre...
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09/18/2023
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge
In the expanding landscape of AI-enabled robotics, robust quantification...
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09/04/2023
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation
The edge processing of deep neural networks (DNNs) is becoming increasin...
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07/14/2023
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning
The rapid advancement of deep neural networks has significantly improved...
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07/07/2023
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning
This work discusses memory-immersed collaborative digitization among com...
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03/03/2023
Lightweight, Uncertainty-Aware Conformalized Visual Odometry
Data-driven visual odometry (VO) is a critical subroutine for autonomous...
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11/13/2021
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence
We propose MC-CIM, a compute-in-memory (CIM) framework for robust, yet l...
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04/12/2021
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
This work proposes a novel Energy-Aware Network Operator Search (ENOS) a...
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02/16/2021
Probabilistic Localization of Insect-Scale Drones on Floating-Gate Inverter Arrays
We propose a novel compute-in-memory (CIM)-based ultra-low-power framewo...
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01/29/2021
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators
We propose a co-design approach for compute-in-memory inference for deep...
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11/25/2020
Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks
We present a novel low latency CMOS hardware accelerator for fully conne...
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11/19/2019
