yusuke1997/dblp-id-title huggingface dataset:
Data Resource Profile: Egress Behavior from Select NYC COVID-19 Exposed Health Facilities March-May 2020
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
Large Language Models based Multi-Agent Framework for Objective Oriented Control Design in Power Electronics
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System
A survey on Big Data and Machine Learning for Chemistry
Overview of Spintronic Sensors, Internet of Things, and Smart Living
LOSTU: Fast, Scalable, and Uncertainty-Aware Triangulation
Pose and shear-based tactile servoing
The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence
Cooperative Relative Positioning of Mobile Users by Fusing IMU Inertial and UWB Ranging Information
Data-driven intrinsic localized mode detection and classification in one-dimensional crystal lattice model
VRFT with ARX controller model and constrained total least squares
Quantitative PAT with simplified P N approximation
Nonlinear filtering based on density approximation and deep BSDE prediction
GeoGebra Discovery in Context
CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification
Detecting Coordination on Short-Video Platforms: The Challenge of Multimodality and Complex Similarity on TikTok
Polynomial data compression for large-scale physics experiments
Parallel Optimization for Cooperative Autonomous Driving at Unsignalized Roundabouts with Hard Safety Guarantees
MPRM: A Markov Path-based Rule Miner for Efficient and Interpretable Knowledge Graph Reasoning
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
Representing Isabelle in LF
Quantum Secure Direct Communication with Mutual Authentication using a Single Basis
Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations
Electrical Energy Consumption Control in Buildings Using Wireless Sensor Networks
T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis
Searching for effective and efficient way of knowledge transfer within an organization
Accuracy-Reliability Cost Function for Empirical Variance Estimation
Using Machine Learning to Detect Noisy Neighbors in 5G Networks
Structure-preserving finite element approximations of a hybrid relativistic cold fluid-particle model
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies
Performance Evaluation of Linear Regression Algorithm in Cluster Environment
ELRUHNA: Elimination Rule-basedHypergraph Alignment
GeoFINDR: Practical Approach to Verify Cloud Instances Geolocation in Multicloud
Radius-margin bounds for deep neural networks
Perception Encoder: The best visual embeddings are not at the output of the network
Control and Evaluation of a Humanoid Robot with Rolling Contact Knees
Analyzing Transport Policies in Developing Countries with ABM
User Profile Relationships using String Similarity Metrics in Social Networks
Functional Generative Design: An Evolutionary Approach to 3D-Printing
Optimal Compression for Minimizing Classification Error Probability: an Information-Theoretic Approach
Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data
Wideband DOA Estimation through Projection Matrix Interpolation
Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
MATE: A Model-based Algorithm Tuning Engine
MAESTRO: Multi-Agent Environment Shaping through Task and Reward Optimization
Causal Discovery and Inference towards Urban Elements and Associated Factors
Invariant-Based Cryptography: Toward a General Framework
Typestate Checking and Regular Graph Constraints
Sampling of stochastic operators
Age of Information in a Network of Preemptive Servers
Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation
Complexity Control Facilitates Reasoning-Based Compositional Generalization in Transformers
Predicting At-Risk Programming Students in Small Imbalanced Datasets using Synthetic Data
Random Caching in Backhaul-Limited Multi-Antenna Networks: Analysis and Area Spectrum Efficiency Optimization
Chorus: Differential Privacy via Query Rewriting
Contextual Aware Joint Probability Model Towards Question Answering System
Coarse to Fine Multi-Resolution Temporal Convolutional Network
Introspection of Thought Helps AI Agents
Automated detection of coherent Lagrangian vortices in two-dimensional unsteady flows
Incrementally Stochastic and Accelerated Gradient Information mixed Optimization for Manipulator Motion Planning
Unconstrained Submodular Maximization with Constant Adaptive Complexity
Causal Disentanglement Learning for Accurate Anomaly Detection in Multivariate Time Series
Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration
Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks
Technical Report on: Tripedal Dynamic Gaits for a Quadruped Robot
Self-Similarity Breeds Resilience
Long-Tail Learning with Rebalanced Contrastive Loss
A Face Preprocessing Approach for Improved DeepFake Detection
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies
Rate Selection for Cooperative HARQ-CC Systems over Time-Correlated Nakagami-m Fading Channels
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
Secret Key Distillation over Satellite-to-satellite Free-space Optics Channel with Eavesdropper Dynamic Positioning
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers
iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data
Apollonius Allocation Algorithm for Heterogeneous Pursuers to Capture Multiple Evaders
Multi-Task Learning Enhanced Single Image De-Raining
Local energy communities optimization considering cost and greenhouse gases minimization
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration
Dual Embodied-Symbolic Concept Representations for Deep Learning
Understanding Post-hoc Explainers: The Case of Anchors
Coordinating CAV Swarms at Intersections with a Deep Learning Model
Cell image segmentation by Feature Random Enhancement Module
Role action embeddings: scalable representation of network positions
Kronecker Products, Low-Depth Circuits, and Matrix Rigidity
Understanding Set Cover: Sub-exponential Time Approximations and Lift-and-Project Methods
Evaluation of spatial trees for simulation of biological tissue
Asynchronous Agents with Perfect Recall: Model Reductions, Knowledge-Based Construction, and Model Checking for Coalitional Strategies
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain
Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments
Hierarchical Delay Attribution Classification using Unstructured Text in Train Management Systems
From Local to Global Stability in Stochastic Processing Networks through Quadratic Lyapunov Functions
Polyp-SAM: Transfer SAM for Polyp Segmentation
Bottleneck Routing Games with Low Price of Anarchy
Developments in Higher-Dimensional Automata Theory
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model
Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation
A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems
On the homotopy test on surfaces
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
Blockchain as an Enabler for Transfer Learning in Smart Environments
360{\deg}REA: Towards A Reusable Experience Accumulation with 360{\deg} Assessment for Multi-Agent System
Evolutionary Algorithm with Detection Region Method for Constrained Multi-Objective Problems with Binary Constraints
Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data
Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations
Adopting AI: How Familiarity Breeds Both Trust and Contempt
ReOpt: an Algorithm with a Quality Guaranty for Solving the Static Relocation Problem
Categorizing Items with Short and Noisy Descriptions using Ensembled Transferred Embeddings
Parallel Computation of Finite Element Navier-Stokes codes using MUMPS Solver
Ring Attention with Blockwise Transformers for Near-Infinite Context
Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence
On the Difficulty of Selecting Ising Models with Approximate Recovery
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models
Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web
Morphisms of Coloured Petri Nets
Zero-Delay Joint Source-Channel Coding for a Multivariate Gaussian on a Gaussian MAC
Temporal Interest-Driven Multimodal Personalized Content Generation
Optimality in Noisy Importance Sampling
Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach
Identification of promoted eclipse unstable interfaces using clone detection technique
Moving Object Trajectories Meta-Model And Spatio-Temporal Queries
APAN: Asynchronous Propagate Attention Network for Real-time Temporal Graph Embedding
Parameter Estimation in the Hermitian and Skew-Hermitian Splitting Method Using Gradient Iterations
Dengue Fever in Perspective of Clustering Algorithms
Privacy in Internet of Things: from Principles to Technologies
Application Set Approximation in Optimal Input Design for Model Predictive Control
Moment Estimates and DeepRitz Methods on Learning Diffusion Systems with Non-gradient Drifts
On Framework and Hybrid Auction Approach to the Spectrum Licensing Procedure
Uncovering simultaneous breakthroughs with a robust measure of disruptiveness
Lamarckism and mechanism synthesis: approaching constrained optimization with ideas from biology
The Impact of Variable Ordering on Bayesian Network Structure Learning
Image compression overview
Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record
Enhanced Prolog Remote Predicate Call Protocol
A Review of Explainable Artificial Intelligence in Manufacturing
OpenTera: A Microservice Architecture Solution for Rapid Prototyping of Robotic Solutions to COVID-19 Challenges in Care Facilities
Probabilistic Spatial Transformers for Bayesian Data Augmentation
Partial Domain Adaptation via Importance Sampling-based Shift Correction
Sparse Algorithm for Robust LSSVM in Primal Space
A Unified Framework for Lifted Training and Inversion Approaches
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model
Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs
Spread of Misinformation in Social Networks
Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization
A Model for Translation of Text from Indian Languages to Bharti Braille Characters
RAPPER: Ransomware Prevention via Performance Counters
Communication Interface Identifier Protocol (CIIP): An Energy Efficient Protocol for smaller IoT Sensor
Auto-Vocabulary 3D Object Detection
Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
A Generalized Web Component for Domain-Independent Smart Assistants
Strengthened Lazy Heaps: Surpassing the Lower Bounds for Binary Heaps
Test-Case Generation for Finding Neural Network Bugs
Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection
Adversarial Camouflage for Node Injection Attack on Graphs
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training
Score-based Diffusion Model for Unpaired Virtual Histology Staining
ASR is all you need: cross-modal distillation for lip reading
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions
Learning Dense Correspondence via 3D-guided Cycle Consistency
XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science
Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
A Sim-to-Real Vision-based Lane Keeping System for a 1:10-scale Autonomous Vehicle
Changes-Aware Transformer: Learning Generalized Changes Representation
Embedding Transfer with Label Relaxation for Improved Metric Learning
Blockchain Model for Environment/Infrastructure Monitoring in Cloud-Enabled High-Altitude Platform Systems
FlexEmu: Towards Flexible MCU Peripheral Emulation (Extended Version)
A Motif-based Approach for Identifying Controversy
On the Non-robustness of Essentially Conditional Information Inequalities
A Language-Agnostic Model for Semantic Source Code Labeling
A novel optical needle probe for deep learning-based tissue elasticity characterization
TWIST: Training-free and Label-free Short Text Clustering through Iterative Vector Updating with LLMs
Towards creativity characterization of generative models via group-based subset scanning
Results of nested canalizing functions
Sequential sampling without comparison to boundary through model-free reinforcement learning
Are All Unseen Data Out-of-Distribution?
Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models
Counting approximately-shortest paths in directed acyclic graphs
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting
An interface crack in 1d piezoelectric quasicrystal under antiplane mechanical loading and electric field
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review
Quantifying User Coherence: A Unified Framework for Cross-Domain Recommendation Analysis
Beyond-Regular Typestate
Fast Approximate Bayesian Contextual Cold Start Learning (FAB-COST)
Generative Parameter Sampler For Scalable Uncertainty Quantification
Diagonal Stability of Systems with Rank-1 Interconnections and Application to Automatic Generation Control in Power Systems
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets
Internet Anomaly Detection based on Complex Network Path
Gaussian credible intervals in Bayesian nonparametric estimation of the unseen
Model of Cognitive Dynamics Predicts Performance on Standardized Tests
Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors
Deep Learning for Image Super-resolution: A Survey
A highly efficient second-order accurate long-time dynamics preserving scheme for some geophysical fluid models
Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994)
Transmission Failure Analysis of Multi-Protection Routing in Data Center Networks with Heterogeneous Edge-Core Servers
Use and Misuse of Machine Learning in Anthropology
Approximating Constraint Propagation in Datalog
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report)
PPO Dash: Improving Generalization in Deep Reinforcement Learning
Hardware Automated Dataflow Deployment of CNNs
Robust Voxelization and Visualization by Improved Tetrahedral Mesh Generation
A Rule Mining-Based Advanced Persistent Threats Detection System
Parsimonious Argument Annotations for Hate Speech Counter-narratives
Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents
Reconstructing the Tropical Pacific Upper Ocean using Online Data Assimilation with a Deep Learning model
Adversarial Logit Pairing
Temporal and Spatial Data Mining with Second-Order Hidden Models
HausaMovieReview: A Benchmark Dataset for Sentiment Analysis in Low-Resource African Language
Some elementary rigorous remark about the replica formalism in the Statistical Physics' approach to threshold phenomena in Computational Complexity Theory
How the Brain might use Division
Decoding the Sociotechnical Dimensions of Digital Misinformation: A Comprehensive Literature Review
A generalization of the α-divergences based on comparable and distinct weighted means
Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images
Binary Excess Risk for Smooth Convex Surrogates
Contribution of soundscape appropriateness to soundscape quality assessment in space: a mediating variable affecting acoustic comfort
Secure Access Control for DAG-based Distributed Ledgers
CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition
SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers
On Zone-Based Analysis of Duration Probabilistic Automata
The nested materiality of environmental monitoring
Differentially Private and Federated Structure Learning in Bayesian Networks
The Knowledge-Behaviour Disconnect in LLM-based Chatbots
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
SPATIALGEN: Layout-guided 3D Indoor Scene Generation
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization
Measuring an artificial intelligence agent's trust in humans using machine incentives
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
Deep Gaussian Embedding of Attributed Graphs: Unsupervised Inductive Learning via Ranking
Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks
Group Sampling for Unsupervised Person Re-identification
Sparse Fusion for Multimodal Transformers
Polaractivation of Hidden Private Classical Capacity Region of Quantum Channels
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
Backtracking New Q-Newton's method, Newton's flow, Voronoi's diagram and Stochastic root finding
Convergence Criteria of a Three Step Scheme under generalized Lipschitz Condition in Banach Spaces
Influence of distortions of key frames on video transfer in wireless networks
Multialternative Neural Decision Process
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
An algebra of automata which includes both classical and quantum entities
Improved approximation ratios for two Euclidean maximum spanning tree problems
Strongly Adaptive OCO with Memory
A Regression Testing Framework with Automated Assertion Generation for Machine Learning Notebooks
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network
Simplification of the digital representation of the tent map through biased fixed point
Bayesian Inverse Transition Learning for Offline Settings
Physics-informed deep learning for infectious disease forecasting
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
ReloPush: Multi-object Rearrangement in Confined Spaces with a Nonholonomic Mobile Robot Pusher
Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion
A Panoramic Survey of Natural Language Processing in the Arab World
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection
Inertia Partitioning Modular Control Framework for Reconfigurable Multibody Systems
Investigating Bias Representations in Llama 2 Chat via Activation Steering
REAL: A Representative Error-Driven Approach for Active Learning
Model Validation for Vision Systems via Graphics Simulation
RobustDistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness
FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
InstructHumans: Editing Animated 3D Human Textures with Instructions
Assessing Cognitive Randomness: A Kolmogorov Complexity Approach
Language Models Resist Alignment
Intelligent Neural Networks: From Layered Architectures to Graph-Organized Intelligence
Gaussian Process Hydrodynamics
What is Decidable about Perfect Timed Channels?
On the occupancy fraction of the antiferromagnetic Ising model
Bag of Tricks to Boost Adversarial Transferability
Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation
Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models
Price and capacity competition in balancing markets with energy storage
Semi-Supervised Medical Image Segmentation via Dual Networks
Projected gradient methods for nonconvex and stochastic optimization: new complexities and auto-conditioned stepsizes
Towards Real-time Simulation of Hyperelastic Materials
Energy-minimizing error-correcting codes
Parameter Efficient Deep Probabilistic Forecasting
Machine Learning for Equitable Load Shedding: Real-time Solution via Learning Binding Constraints
RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection
Asymptotic behavior of unstable perturbations of the Fubini-Study metric in Ricci flow
(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements
Time parallel integration and phase averaging for the nonlinear shallow water equations on the sphere
Coded Distributed Computing Schemes with Smaller Numbers of Input Files and Output Functions
Neural Network Verification for the Masses (of AI graduates)
Feasible Force Set Shaping for a Payload-Carrying Platform Consisting of Tiltable Multiple UAVs Connected Via Passive Hinge Joints
Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models
Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing
Recurrent Neural Operators: Stable Long-Term PDE Prediction
An attempt at beating the 3D U-Net
Universality Theorems for Generative Models
Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
A prediction-based forward-looking vehicle dispatching strategy for dynamic ride-pooling
Finding the different patterns in buildings data using bag of words representation with clustering
Self-improving object detection via disagreement reconciliation
Latency-Optimal Cache-aided Multicast Streaming via Forward-Backward Reinforcement Learning
Whole-Body Control on Non-holonomic Mobile Manipulation for Grapevine Winter Pruning Automation
Open problem on risk-aware planning in the plane
RHOBIN Challenge: Reconstruction of Human Object Interaction
Local Characterization of Noise in Iterative Reconstruction of the Generalized Radon Transform
Nonparametric Regression Quantum Neural Networks
Pragmatic Implementation of Reinforcement Algorithms For Path Finding On Raspberry Pi
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
Mapping temporal-network percolation to weighted, static event graphs
Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Roles