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09/12/2023
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning
A set of variables is the Markov blanket of a random variable if it cont...
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08/31/2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
The electronic design automation of analog circuits has been a longstand...
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06/09/2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations
We consider solving partial differential equations (PDEs) with Fourier n...
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05/25/2023
A Score-Based Model for Learning Neural Wavefunctions
Quantum Monte Carlo coupled with neural network wavefunctions has shown ...
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05/25/2023
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
With the continuous development and change exhibited by large language m...
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02/09/2023
Fair Notification Optimization: An Auction Approach
Notifications are important for the user experience in mobile apps and c...
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01/28/2023
Non-Hermitian Physics-Inspired Voltage-Controlled Oscillators with Resistive Tuning
This paper presents a non-Hermitian physics-inspired voltage-controlled ...
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01/20/2023
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification
Neural network-based models have found wide use in automatic long-term e...
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01/19/2023
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Tsetlin machine (TM) is a logic-based machine learning approach with the...
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01/10/2023
Joint Hybrid Beamforming and User Scheduling for Multi-Satellite Cooperative Networks
In this paper, we consider a cooperative communication network where mul...
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12/02/2022
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation
Deep learning-based personalized recommendation systems are widely used ...
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11/21/2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Visual anomaly detection, an important problem in computer vision, is us...
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10/20/2022
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
Video understanding is an important problem in computer vision. Currentl...
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06/15/2022
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
Deep learning methods have been shown to be effective in representing gr...
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05/18/2022
Demonstration of fully integrated parity-time-symmetric electronics
Harnessing parity-time (PT) symmetry with balanced gain and loss profile...
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04/27/2022
Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization
The design automation of analog circuits is a longstanding challenge. Th...
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04/07/2022
Music Influence Modeling Based on Directed Network Model
Studying the history of music may provide a glimpse into the development...
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04/05/2022
PDNPulse: Sensing PCB Anomaly with the Intrinsic Power Delivery Network
The ubiquitous presence of printed circuit boards (PCBs) in modern elect...
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03/14/2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation
Personalized recommendation is an important class of deep-learning appli...
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03/01/2022
Discovering Opportunities in New York City's Discovery Program: an Analysis of Affirmative Action Mechanisms
Discovery program (DISC) is an affirmative action policy used by the New...
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02/26/2022
Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning
The design automation of analog circuits is a longstanding challenge in ...
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02/10/2022
Robust and fair work allocation
In today's digital world, interaction with online platforms is ubiquitou...
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01/30/2022
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals
Processing-in-memory (PIM) architectures have demonstrated great potenti...
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01/08/2022
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
In a modern power system, real-time data on power generation/consumption...
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11/16/2021
Fairness-aware Online Price Discrimination with Nonparametric Demand Models
Price discrimination, which refers to the strategy of setting different ...
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10/28/2021
A Sequence to Sequence Model for Extracting Multiple Product Name Entities from Dialog
E-commerce voice ordering systems need to recognize multiple product nam...
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09/17/2021
On the Convergence of Tsetlin Machines for the AND and the OR Operators
The Tsetlin Machine (TM) is a novel machine-learning algorithm based on ...
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07/19/2021
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation
Medical image segmentation plays an essential role in developing compute...
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03/22/2021
A Federated Learning Framework in Smart Grid: Securing Power Traces in Collaborative Learning
With the deployment of smart sensors and advancements in communication t...
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03/15/2021
Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
We study text representation methods using deep models. Current methods,...
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01/25/2021
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
Many emerging cyber-physical systems, such as autonomous vehicles and ro...
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01/19/2021
Disentangled Recurrent Wasserstein Autoencoder
Learning disentangled representations leads to interpretable models and ...
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01/07/2021
On the Convergence of Tsetlin Machines for the XOR Operator
The Tsetlin Machine (TM) is a novel machine learning algorithm with seve...
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11/13/2020
Affinely representable lattices, stable matchings, and choice functions
Birkhoff's representation theorem (Birkhoff, 1937) defines a bijection b...
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10/17/2020
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing
There is considerable evidence that deep neural networks are vulnerable ...
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07/28/2020
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
The Tsetlin Machine (TM) is a recent machine learning algorithm with sev...
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04/22/2020
Impact of Bias on School Admissions and Targeted Interventions
There is an inherent problem in the way students are evaluated - be it s...
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02/22/2020
Machine Translation System Selection from Bandit Feedback
Adapting machine translation systems in the real world is a difficult pr...
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01/16/2020
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
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01/16/2020
OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
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12/30/2019
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Personalized recommendation systems leverage deep learning models and ac...
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12/17/2019
Quaternion Product Units for Deep Learning on 3D Rotation Groups
We propose a novel quaternion product unit (QPU) to represent data on 3D...
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11/28/2019
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices
Recent works propose neural network- (NN-) inspired analog-to-digital co...
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10/02/2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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08/01/2019
Evaluating Ordering Strategies of Star Glyph Axes
Star glyphs are a well-researched visualization technique to represent m...
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06/06/2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
The widespread application of deep learning has changed the landscape of...
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05/14/2019
Curriculum Learning for Domain Adaptation in Neural Machine Translation
We introduce a curriculum learning approach to adapt generic neural mach...
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05/10/2019
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
In this paper, we apply a new promising tool for pattern classification,...
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03/12/2019
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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11/02/2018
