2022.1.24 Learning papers

01-20-2022	Stitch it in Time: GAN-Based Facial Editing of Real Videos by Rotem Tzaban et al
01-18-2022	Prospective Learning: Back to the Future by Joshua T. Vogelstein et al
01-20-2022	Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape by Devansh Bisla et al
01-20-2022	Lead-lag detection and network clustering for multivariate time series with an application to the US equity market by Stefanos Bennett et al
01-20-2022	Omnivore: A Single Model for Many Visual Modalities by Rohit Girdhar et al
01-18-2022	Online Deep Learning based on Auto-Encoder by Si-si Zhang et al
01-19-2022	Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation by Xian Liu et al
01-20-2022	Long Short-Term Memory Neural Network for Financial Time Series by Carmina Fjellström
01-20-2022	Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges by Nuria Rodríguez-Barroso et al
01-19-2022	ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes by Rahul Sajnani et al
01-20-2022	Learning-based Hybrid Local Search for the Hard-label Textual Attack by Zhen Yu et al
01-18-2022	A Non-Experts Introduction to Data Ethics for Mathematicians by Mason A. Porter
01-19-2022	Sentiment Analysis: Predicting Yelp Scores by Bhanu Prakash Reddy Guda et al
01-20-2022	NNP/MM: Fast molecular dynamics simulations with machine learning potentials and molecular mechanics by Raimondas Galvelis et al
01-20-2022	Cognitive Ledger Project: Towards Building Personal Digital Twins Through Cognitive Blockchain by Amir Reza Asadi
01-19-2022	Scotch: An Efficient Secure Computation Framework for Secure Aggregation by Arup Mondal et al
01-19-2022	Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces by Zahra Tarkhani et al
01-18-2022	Convergence of policy gradient for entropy regularized MDPs with neural network approximation in the mean-field regime by Bekzhan Kerimkulov et al
01-19-2022	Towards a General Deep Feature Extractor for Facial Expression Recognition by Liam Schoneveld et al
01-19-2022	Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization by Kiran Koshy Thekumparampil et al
01-19-2022	TourBERT: A pretrained language model for the tourism industry by Veronika Arefieva et al
01-18-2022	Learning grammar with a divide-and-concur neural network by Sean Deyo et al
01-19-2022	Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework by Junpeng Wang et al
01-19-2022	Stability of Deep Neural Networks via discrete rough paths by Christian Bayer et al
01-19-2022	Models for information propagation on graphs by Oliver R. A. Dunbar et al
01-19-2022	Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation by Rishabh Jangir et al
01-19-2022	EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing by Qiang Liu et al
01-19-2022	Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections by Zhengwei Bai et al
01-21-2022	Representing Long-Range Context for Graph Neural Networks with Global Attention by Zhanghao Wu et al
01-18-2022	A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials by Arda Genc et al
01-19-2022	Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear coupling constraints by Le Thi Khanh Hien et al
01-20-2022	TerViT: An Efficient Ternary Vision Transformer by Sheng Xu et al
01-19-2022	On the Convergence Rates of Policy Gradient Methods by Lin Xiao
01-20-2022	Optimal variance-reduced stochastic approximation in Banach spaces by Wenlong Mou et al
01-20-2022	Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN) by Prathik R Kaundinya et al
01-19-2022	Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning by Jaeyoung Lee et al
01-20-2022	From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks by Chenyu Sun et al
01-19-2022	Privacy-Aware Human Mobility Prediction via Adversarial Networks by Yuting Zhan et al
01-20-2022	Sketch-and-Lift: Scalable Subsampled Semidefinite Program for KK-means Clustering by Yubo Zhuang et al
01-19-2022	Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets by Jun Yuan et al
01-20-2022	Safe Deep RL in 3D Environments using Human Feedback by Matthew Rahtz et al
01-20-2022	Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations by Simon Bing et al
01-20-2022	GAN-based Matrix Factorization for Recommender Systems by Ervin Dervishaj et al
01-20-2022	Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning by Tongzhou Mu et al
01-18-2022	Interpretable Single-Cell Set Classification with Kernel Mean Embeddings by Siyuan Shan et al
01-20-2022	Symplectic Momentum Neural Networks -- Using Discrete Variational Mechanics as a prior in Deep Learning by Saul Santos et al
01-20-2022	Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization by Yue Sheng et al
01-20-2022	WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution by Fabian Altekrüger et al
01-20-2022	Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions by Mojtaba Sahraee-Ardakan et al
01-19-2022	Graph Neural Network-based Android Malware Classification with Jumping Knowledge by Wai Weng Lo et al
01-19-2022	Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts by Kilian Theil et al
01-20-2022	Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning by Sasha Salter et al
01-20-2022	Lifelong Learning Metrics by Alexander New et al
01-19-2022	Near-Optimal Sparse Allreduce for Distributed Deep Learning by Shigang Li et al
01-19-2022	Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons by Apostolos F Psaros et al
01-20-2022	DRTCI: Learning Disentangled Representations for Temporal Causal Inference by Garima Gupta et al
01-20-2022	Physics-informed neural networks for modeling rate- and temperature-dependent plasticity by Rajat Arora et al
01-20-2022	Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees by Kai-Chieh Hsu et al
01-20-2022	Learning with latent group sparsity via heat flow dynamics on networks by Subhroshekhar Ghosh et al
01-19-2022	Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation by Mathias Öttl et al
01-19-2022	Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation by Sixiao Zhang et al
01-20-2022	Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency by Austin van Loon et al
01-21-2022	Identifying Adversarial Attacks on Text Classifiers by Zhouhang Xie et al
01-20-2022	Transfer Learning for Fault Diagnosis of Transmission Lines by Fatemeh Mohammadi Shakiba et al
01-19-2022	On the Complexity of a Practical Primal-Dual Coordinate Method by Ahmet Alacaoglu et al
01-18-2022	Overview frequency principle/spectral bias in deep learning by Zhi-Qin John Xu et al
01-19-2022	Informative Pseudo-Labeling for Graph Neural Networks with Few Labels by Yayong Li et al
01-19-2022	ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP) by Carol Neidle et al
01-20-2022	Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications by Morgane Goibert et al
01-20-2022	Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving by Zehong Cao et al
01-19-2022	Towards Energy Efficient Distributed Federated Learning for 6G Networks by Sunder Ali Khowaja et al
01-20-2022	Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making by Sonali Parbhoo et al
01-21-2022	On the adaptation of recurrent neural networks for system identification by Marco Forgione et al
01-20-2022	Predictive Inference with Weak Supervision by Maxime Cauchois et al
01-18-2022	Conservative Distributional Reinforcement Learning with Safety Constraints by Hengrui Zhang et al
01-20-2022	Statistical prediction of extreme events from small datasets by Alberto Racca et al
01-21-2022	Learning deterministic hydrodynamic equations from stochastic active particle dynamics by Suryanarayana Maddu et al
01-20-2022	Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs by Jiayu Chen et al
01-19-2022	Identifying critical nodes in complex networks by graph representation learning by Enyu Yu et al
01-20-2022	Goal-Conditioned Reinforcement Learning: Problems and Solutions by Minghuan Liu et al
01-18-2022	Hierarchical Neural Network Approaches for Long Document Classification by Snehal Khandve et al
01-19-2022	A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis by Muhammad Muneeb Saad et al
01-19-2022	Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification by Akshay Thakur et al
01-18-2022	AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review by Swathi Prabhua et al
01-19-2022	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs by Zhongyi Lin et al
01-20-2022	Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates by Shivangi Agarwal et al
01-20-2022	Safety-AwareMulti-Agent Apprenticeship Learning by Junchen Zhao et al
01-20-2022	A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning by Yuan Tian et al
01-20-2022	Meta Learning for Code Summarization by Moiz Rauf et al
01-20-2022	Adaptive neighborhood Metric learning by Kun Song et al
01-19-2022	AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree by Rong Liang et al
01-19-2022	Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders by Sara Björk et al
01-20-2022	Two-Sample Testing in Reinforcement Learning by Martin Waltz et al
01-19-2022	Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels by J. A. Montanez-Barrera et al
01-18-2022	TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data by Shreshth Tuli et al
01-20-2022	alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction by He Sun et al
01-20-2022	Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation by Junya Ikemoto et al
01-19-2022	Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns by Reto Gubelmann et al
01-20-2022	RoboMal: Malware Detection for Robot Network Systems by Upinder Kaur et al
01-20-2022	Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves by Óscar Pimentel et al
01-21-2022	Marginal Effects for Non-Linear Prediction Functions by Christian A. Scholbeck et al
01-18-2022	Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound by Gautam Rajendrakumar Gare et al
01-19-2022	Learning to Rank For Push Notifications Using Pairwise Expected Regret by Yuguang Yue et al
01-19-2022	Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities by Michael Cho et al
01-20-2022	Before and After: Machine learning for perioperative patient care by Iuliia Ganskaia et al
01-19-2022	Object Detection in Autonomous Vehicles: Status and Open Challenges by Abhishek Balasubramaniam et al
01-18-2022	Dual Space Graph Contrastive Learning by Haoran Yang et al
01-20-2022	Minimax Demographic Group Fairness in Federated Learning by Afroditi Papadaki et al
01-20-2022	Federated Learning with Heterogeneous Architectures using Graph HyperNetworks by Or Litany et al
01-21-2022	Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR by Hewei Tang et al
01-18-2022	Tutela: An Open-Source Tool for Assessing User-Privacy on Ethereum and Tornado Cash by Mike Wu et al
01-19-2022	Decoupling the Depth and Scope of Graph Neural Networks by Hanqing Zeng et al
01-19-2022	Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization by Jake Perazzone et al
01-21-2022	Distance-Ratio-Based Formulation for Metric Learning by Hyeongji Kim et al
01-20-2022	OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges by Zachary Hamida et al
01-18-2022	Sparsification of Decomposable Submodular Functions by Akbar Rafiey et al
01-20-2022	Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation by Hilla Shinitzky et al
01-20-2022	Instance-Dependent Confidence and Early Stopping for Reinforcement Learning by Koulik Khamaru et al
01-21-2022	A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks by Xiaoyu Ma et al
01-21-2022	Improved Random Features for Dot Product Kernels by Jonas Wacker et al
01-19-2022	Cognitive Explainers of Graph Neural Networks Based on Medical Concepts by Yingni Wang et al
01-19-2022	Batch versus Sequential Active Learning for Recommender Systems by Toon De Pessemier et al
01-21-2022	Fair Node Representation Learning via Adaptive Data Augmentation by O. Deniz Kose et al
01-19-2022	GAP-Gen: Guided Automatic Python Code Generation by Junchen Zhao et al
01-20-2022	A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records by Erasmo Artur et al
01-20-2022	An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters by Paul Gavrikov et al
01-20-2022	Android Malware Detection using Feature Ranking of Permissions by Muhammad Suleman Saleem et al
01-20-2022	How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis by Shuai Zhang et al
01-18-2022	Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze by Wolfgang Fuhl et al

01-18-2022	Nonparametric Feature Selection by Random Forests and Deep Neural Networks by Xiaojun Mao et al
01-18-2022	Recommendation Unlearning by Chong Chen et al
01-21-2022	Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization by Ivana Nikoloska et al
01-21-2022	Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability by Alireza Koochali et al
01-21-2022	Meta Learning MDPs with Linear Transition Models by Robert Müller et al
01-18-2022	DEFER: Distributed Edge Inference for Deep Neural Networks by Arjun Parthasarathy et al
01-20-2022	Neural Network Quantization with AI Model Efficiency Toolkit (AIMET) by Sangeetha Siddegowda et al
01-18-2022	Sandbox Sample Classification Using Behavioral Indicators of Compromise by M. Andrecut
01-18-2022	Network-based link prediction of scientific concepts -- a Science4Cast competition entry by Joao P. Moutinho et al
01-21-2022	Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages by Naveen Nair et al
01-21-2022	Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation by Qianben Chen et al
01-21-2022	Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search by Wesley A. Suttle et al
01-18-2022	Knowledge Sharing via Domain Adaptation in Customs Fraud Detection by Sungwon Park et al
01-18-2022	Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration by Bálint Csanády et al
01-20-2022	Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming by Sachin Konan et al
01-21-2022	Evaluating Generalization in Classical and Quantum Generative Models by Kaitlin Gili et al
01-19-2022	Debiased Graph Neural Networks with Agnostic Label Selection Bias by Shaohua Fan et al
01-19-2022	Anytime Optimal PSRO for Two-Player Zero-Sum Games by Stephen McAleer et al
01-19-2022	PDE-Based Optimal Strategy for Unconstrained Online Learning by Zhiyu Zhang et al
01-21-2022	Deep Q-learning: a robust control approach by Balázs Varga et al
01-18-2022	Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost by Francesco Malandrino et al
01-20-2022	Cross-Domain Few-Shot Graph Classification by Kaveh Hassani
01-21-2022	Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning by Rushit Dave et al
01-20-2022	Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information by Nan Wu et al
01-21-2022	The Security of Deep Learning Defences for Medical Imaging by Moshe Levy et al
01-21-2022	Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer by Mads Sloth Vinding et al
01-20-2022	AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models by Xiaofan Zhang et al
01-20-2022	Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators by Tal Shnitzer et al
01-19-2022	The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication by Seth Karten et al
01-20-2022	To SMOTE, or not to SMOTE? by Yotam Elor et al
01-19-2022	Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data by Li Peide et al
01-21-2022	Deconfounding to Explanation Evaluation in Graph Neural Networks by Ying-Xin et al
01-18-2022	Online Time Series Anomaly Detection with State Space Gaussian Processes by Christian Bock et al
01-18-2022	Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling by Qianqian Zhang et al
01-20-2022	Physical Activity Recognition by Utilising Smartphone Sensor Signals by Abdulrahman Alruban et al
01-19-2022	Cant Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders by Zeyang Sha et al
01-18-2022	An Efficient Hashing-based Ensemble Method for Collaborative Outlier Detection by Kitty Li et al
01-21-2022	Enhancing Hyperbolic Graph Embeddings via Contrastive Learning by Jiahong Liu et al
01-19-2022	ReGNL: Rapid Prediction of GDP during Disruptive Events using Nightlights by Rushabh Musthyala et al
01-18-2022	Learning Tensor Representations for Meta-Learning by Samuel Deng et al
01-21-2022	Adaptive Data Analysis with Correlated Observations by Aryeh Kontorovich et al
01-20-2022	LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion by Shangrong Yu et al
01-20-2022	TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data by Isha Garg et al
01-20-2022	Unicorn: Reasoning about Configurable System Performance through the lens of Causality by Md Shahriar Iqbal et al
01-18-2022	Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home by Mina Razghandi et al
01-19-2022	Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows by Wiebke Toussaint et al
01-19-2022	Code Sophistication: From Code Recommendation to Logic Recommendation by Jessie Galasso et al
01-21-2022	Robust Unsupervised Graph Representation Learning via Mutual Information Maximization by Jihong Wang et al
01-21-2022	Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021 by Isabel Wagner
01-21-2022	Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference by Mads Lindskou et al
01-20-2022	Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark by Ephrem A. Retta et al
01-20-2022	GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration by Stefan Abi-Karam et al
01-18-2022	Compressed Smooth Sparse Decomposition by Shancong Mou et al
01-19-2022	Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias by Melanie Bernhardt et al
01-20-2022	Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios by Zhen Xiang et al
01-20-2022	DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning by Qiyu Hu et al
01-19-2022	PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications by Drew Penney et al
01-20-2022	VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python by Laura Wartschinski et al
01-19-2022	Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues by Francesco La Rosa et al
01-21-2022	Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting by Kwanhyung Lee et al
01-20-2022	Scalable Sampling for Nonsymmetric Determinantal Point Processes by Insu Han et al
01-20-2022	Reproducibility in Learning by Russell Impagliazzo et al
01-20-2022	DROPO: Sim-to-Real Transfer with Offline Domain Randomization by Gabriele Tiboni et al
01-18-2022	Towards Federated Clustering: A Federated Fuzzy cc-Means Algorithm (FFCM) by Morris Stallmann et al
01-18-2022	Bregman Deviations of Generic Exponential Families by Sayak Ray Chowdhury et al
01-21-2022	Impacts of Students Academic Performance Trajectories on Final Academic Success by Shahab Boumi et al
01-20-2022	High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees by Ying Sun et al
01-21-2022	Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? by Gabriella Kazai et al
01-21-2022	APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference by Alberto Delmas Lascorz et al
01-18-2022	Active Learning for Open-set Annotation by Kun-Peng Ning et al
01-20-2022	Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples by Haidong Xie et al
01-18-2022	Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning by Phung Lai et al
01-18-2022	Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI by Zhen Gao et al
01-21-2022	FedComm: Federated Learning as a Medium for Covert Communication by Dorjan Hitaj et al
01-18-2022	Self-similar blow-up profile for the Boussinesq equations via a physics-informed neural network by Yongji Wang et al
01-21-2022	Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning by Rushit Dave et al
01-21-2022	Fast Differentiable Matrix Square Root by Yue Song et al