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09/14/2023
MC-NeRF: Muti-Camera Neural Radiance Fields for Muti-Camera Image Acquisition Systems
Neural Radiance Fields (NeRF) employ multi-view images for 3D scene repr...
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08/10/2023
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
We propose an experimental method for measuring bias in face recognition...
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06/19/2023
Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming
Recently, many forms of audio industrial applications, such as sound mon...
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06/12/2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures
We present a distribution optimization framework that significantly impr...
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06/04/2023
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures
We study finite episodic Markov decision processes incorporating dynamic...
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04/29/2023
X-ray Recognition: Patient identification from X-rays using a contrastive objective
Recent research demonstrates that deep learning models are capable of pr...
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04/29/2023
Visualizing chest X-ray dataset biases using GANs
Recent work demonstrates that images from various chest X-ray datasets c...
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03/02/2023
A Field-Theoretic Approach to Unlabeled Sensing
We study the recent problem of unlabeled sensing from the information sc...
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02/07/2023
Towards causally linking architectural parametrizations to algorithmic bias in neural networks
Training dataset biases are by far the most scrutinized factors when exp...
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10/25/2022
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds
We study the regret guarantee for risk-sensitive reinforcement learning ...
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06/28/2022
A Scalable Blockchain-based Smart Contract Model for Decentralized Voltage Stability Using Sharding Technique
Blockchain technologies are one possible avenue for increasing the resil...
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03/31/2022
Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification
Acoustic source localization has been applied in different fields, such ...
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03/20/2022
RareGAN: Generating Samples for Rare Classes
We study the problem of learning generative adversarial networks (GANs) ...
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07/16/2021
Controlled AutoEncoders to Generate Faces from Voices
Multiple studies in the past have shown that there is a strong correlati...
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09/03/2020
Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors
Modern multicore systems are migrating from homogeneous systems to heter...
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07/15/2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
In federated optimization, heterogeneity in the clients' local datasets ...
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04/28/2020
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
Recently, many methods discover effective evidence from reliable sources...
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02/21/2020
