Documents from 2023
A Survey of Qubit Routing Algorithms, Harrison Barnes
Memory Protection with Cached Authentication Trees, Andy Belle-Isle
Applying Homomorphic Encryption to a Cross Domain Problem, Cheyenne Dailey
Quantum Acceleration of Linear Regression for Artificial Neural Networks, Martin A. Hoffnagle
An Analysis of Heterogeneous Quantization Schemes for Neural Networks, Anusha Holavanahali
System Integration of CSTARS: Cryogenic Star Tracking Attitude Regulation System, Matthew Klein
FSMLock: Sequential Logic Locking through Encryption, Matthew Krebs
Design of a Current Mode Circuit for Zeroth-Order Optimization of Memristor-Based Neuromorphic Systems, Shery George Mathews
Continual Domain Adaptation through Knowledge Distillation, Georgi Thomas
An Examination of the Effects of the Cost Volume on Vision Transformer-Based Optical Flow Models, Andrew Thompson
Improved Grover’s Implementation of Quantum Binary Neural Networks, Brody A. Wrighter
Documents from 2022
DeepRM: Deep Recurrent Matching for 6D Pose Refinement, Alexander Avery
High Error Rate Qubit Routing, Sean Bonaventure
Implementation and Evaluation of Deep Neural Networks in Commercially Available Processing in Memory Hardware, Prangon Das
Side-Channel Attacks and Countermeasures for the MK-3 Authenticated Encryption Scheme, Peter Fabinski
Speech Feature Analysis and Discrimination in Biological Information, Shogo Honda
Development of a Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks, Jacob Kiggins
Impact of Noise in Automatic Speech Recognition for Low-Resourced Languages, Vigneshwar Lakshminarayanan
Quantum Solutions for Training a Single Layer Binary Neural Network, Sabrina Ly
Semi-Supervised Video and Image in-painting, Rajiv Mandya Nagaraju
InfoMixup : An Intuitive and Information-Driven Approach to Robust Generalization, Andrew H. Meyer
Address Obfuscation to Protect Against Hardware Trojans in Network-on-Chips, Thomas Mountford
Single-Input Signature Register-Based Time Delay Reservoir, David Pastuch
Towards Real-Time Classification of Human Imagined Language, Joseph Zonghi
Documents from 2021
The Application of Echo State Networks to Atypical Speech Recognition, Daniel W. Adams
Neural Network Models for TCP - SYN Flood Denial of Service Attack Detection With Source and Destination Anonymization, Sahil Anande
A Programmable Processing-in-Memory Architecture for Memory Intensive Applications, Mark Connolly
Securing in-memory processors against Row Hammering Attacks, Sahil K. Gogna
HandyPose and VehiPose: Pose Estimation of Flexible and Rigid Objects, Divyansh Gupta
A Comparison of Quantum Algorithms for the Maximum Clique Problem, Andrew R. Haverly
Model Extraction and Adversarial Attacks on Neural Networks Using Side-Channel Information, Tommy Li
Semantic Segmentation and Change Detection in Satellite Imagery, Raaga Madappa
Flexible Memory Protection with Dynamic Authentication Trees, Matthew T. Millar
Automatic Speech Recognition for Low-Resource and Morphologically Complex Languages, Ethan Morris
Anchor Self-Calibrating Schemes for UWB based Indoor Localization, Jonathan Pereira
Measuring Shadows: FPGA-based image sensor control systems for next-generation NASA missions, Irfan Rafi Punekar
Continuous Variable Quantum Compilation Analysis, Federico Rueda
GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features With Spatial and Channel Attention, Udit Sharma
3D Object Detection Via 2D LiDAR Corrected Pseudo LiDAR Point Clouds, Saurabh Mahendra Sonje
Evaluating Performance and Efficiency of a 16-bit Substitution Box on an FPGA, Daniel F. Stafford
Monocular 3D Object Detection via Ego View-to-Bird’s Eye View Translation, Atharva Arun Tembe
Real-Time UAV Pose Estimation and Tracking Using FPGA Accelerated April Tag, Ethan Tola
Impact of Image Complexity on Early Exit Neural Networks for Edge Applications, Sharan Vidash Vidya Shanmugham
Documents from 2020
Self-Supervision Initialization for Semantic Segmentation Networks, Kenneth Alexopoulos
Multi-Sensor Fusion for 3D Object Detection, Darshan Ramesh Bhanushali
Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band, Dennis P. Bleier
Hardware Intellectual Property Protection Through Obfuscation Methods, Jason Blocklove
Employing optical flow on convolutional recurrent structures for deepfake detection, Akash Chintha
Convex Object Detection, Abhisek Dey
High-Capacity Directional Graph Networks, Miguel Dominguez
Exploring the Influence of Energy Constraints on Liquid State Machines, Andrew Fountain
Network Slicing for Wireless Networks Operating in a Shared Spectrum Environment, John Jenco
Point Completion Networks and Segmentation of 3D Mesh, Naga Durga Harish Kanamarlapudi
Self-Supervised Learning for Segmentation using Image Reconstruction, Srivallabha Karnam
Graph Networks for Multi-Label Image Recognition, Sidharth Makhija
A Study on DNA Memory Encoding Architecture, Robert W. Mason
Tree-Based Hardware Recursion for Divide-and-Conquer Algorithms, Braeden Morrison
Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction, Sai Shashidhar Nagabandi
Fine-Tuning Sign Language Translation Systems Through Deep Reinforcement Learning, Joseph Panaro
Improving Omnidirectional Camera-Based Robot Localization Through Self-Supervised Learning, Robert Relyea
Deepfakes Generation using LSTM based Generative Adversarial Networks, Akhil Santha
Cross-modal data retrieval and generation using deep neural networks, Premkumar Udaiyar
Using Classification for Analysis of Multi-Modal Video Summarization, Brendan Wells
Energy Efficient Neocortex-Inspired Systems with On-Device Learning, Abdullah M. Zyarah
Documents from 2019
A Novel Processing-In-Memory Architecture for Dense and Sparse Matrix Multiplications, Andrew Robert Bear
Aerial Object Detection using Learnable Bounding Boxes, Aneesh Bhat
LambdaNet: A Novel Architecture for Unstructured Change Detection, Bryan Matthew Blakeslee
Towards Lightweight AI: Leveraging Stochasticity, Quantization, and Tensorization for Forecasting, Zachariah JL Carmichael
Exploring HLS Coding Techniques to Achieve Desired Turbo Decoder Architectures, Thomas Cenova
End-to-End Music Transcription Using Fine-Tuned Variable-Q Filterbanks, Frank C. Cwitkowitz Jr
Exploring Neuromodulatory Systems for Dynamic Learning, Anurag Daram
Vector Spaces for Multiple Modal Embeddings, Sabarish Gopalakrishnan
Exploration of GPU Cache Architectures Targeting Machine Learning Applications, Gerald Kotas
Design of an Efficient Design for Test (DFT) Architecture and it's Verification Using Universal Verification Methodology, Sushmitha Mavuram
Design of a Flexible Schoenhage-Strassen FFT Polynomial Multiplier with High-Level Synthesis, Kevin Millar
Poly-GAN: A Multi-Conditioned GAN for Multiple Tasks, Nilesh Pandey
Relational Neurogenesis for Lifelong Learning Agents, Tej Pandit
Exploring the Effectiveness of Privacy Preserving Classification in Convolutional Neural Networks, Prathibha Rama
Improving Automatic Speech Recognition on Endangered Languages, Kruthika Prasanna Simha
Using Reduced Graphs for Efficient HLS Scheduling, Stephanie Soldavini
Synthesizing Cyber Intrusion Alerts using Generative Adversarial Networks, Christopher R. Sweet
Performance Analysis of Fixed-Random Weights in Artificial Neural Networks, Humza Syed
Deepfake detection and low-resource language speech recognition using deep learning, Bao Thai
Documents from 2018
Contractive Autoencoding for Hierarchical Temporal Memory and Sparse Distributed Representation Binding, Luke G. Boudreau
Cross Layer Routing in Cognitive Radio Network Using Deep Reinforcement Learning, Snehal Sudhir Chitnavis
Exploring High Level Synthesis to Improve the Design of Turbo Code Error Correction in a Software Defined Radio Context, Bradley E. Conn
Meta Learning for Graph Neural Networks, Rohan N. Dhamdhere
Holographic Generative Memory: Neurally Inspired One-Shot Learning with Memory Augmented Neural Networks, Dillon R. Graham
Adjustment of Parametric Dynamic Scheduling Heuristics for Heterogeneous Systems to Account for Heterogeneity, Thomas G. Guerin
Design Considerations for Training Memristor Crossbars Used in Spiking Neural Networks, Lydia M. Hays
Detection of Autism using Magnetic Resonance Imaging data and Graph Convolutional Neural Networks, Saloni Mahendra Jain
Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation, Ram Longman
Cache Memory Access Patterns in the GPU Architecture, Yash Nimkar
Multi-modal learning using deep neural networks, Dheeraj Kumar Peri
Resiliency in Deep Convolutional Neural Networks, Faiz Ur Rahman
Automatic Modulation Classification Using Cyclic Features via Compressed Sensing, Andrew J. Ramsey
Exploring the Application of Homomorphic Encryption for a Cross Domain Solution, Cody W. Tinker
Graph-based Performance Estimation on Customized MIPS Processors, Saaim Valiani
Visualizing Resiliency Of Deep Convolutional Network Interpretations For Aerial Imagery, Bhavan Kumar Vasu
