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06/06/2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Spiking neural networks (SNNs) have manifested remarkable advantages in ...
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05/30/2023
NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM
With the widespread use of deep neural networks(DNNs) in intelligent sys...
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04/19/2023
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks
Spiking neural networks (SNNs) have superb characteristics in sensory in...
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04/12/2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation
Spiking neural networks (SNNs) are well known as the brain-inspired mode...
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03/21/2023
Optimal Individualized Treatment Rule for Combination Treatments Under Budget Constraints
The individualized treatment rule (ITR), which recommends an optimal tre...
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02/05/2023
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling
Crowdsourcing has emerged as an alternative solution for collecting larg...
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06/02/2022
The Musical Arrow of Time – The Role of Temporal Asymmetry in Music and Its Organicist Implications
Adopting a performer-centric perspective, we frequently encounter two st...
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11/30/2021
Deep Auto-encoder with Neural Response
Artificial intelligence and neuroscience are deeply interactive. Artific...
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10/05/2020
Bigeminal Priors Variational auto-encoder
Variational auto-encoders (VAEs) are an influential and generally-used c...
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07/16/2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation
In unsupervised learning, variational auto-encoders (VAEs) are an influe...
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03/05/2020
Image Generation from Freehand Scene Sketches
We introduce the first method for automatic image generation from scene-...
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11/19/2019
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons
This paper proposes an unsupervised address event representation (AER) o...
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08/01/2019
Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips
The Network-on-Chips is a promising candidate for addressing communicati...
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10/02/2018
Covariate Distribution Balance via Propensity Scores
The propensity score plays an important role in causal inference with ob...
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03/10/2018
Integrated Optimization of Partitioning, Scheduling and Floorplanning for Partially Dynamically Reconfigurable Systems
Confronted with the challenge of high performance for applications and t...
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03/07/2018