yusuke1997/dblp-id-title huggingface dataset:
SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
Controllable Motion Generation via Diffusion Modal Coupling
Context-Aware Code Wiring Recommendation with LLM-based Agent
Preferential Attachment Processes Approaching The Rado Multigraph
Smart Inverter Impacts on California Distribution Feeders with Increasing PV Penetration: A Case Study
Crowdsourced Live Streaming over the Cloud
Variations on a Demonic Theme: Szilard's Other Engines
Set-Membership Filtering-Based Leader-Follower Synchronization of Discrete-time Linear Multi-Agent Systems
Optimal Testing of Self-Driving Cars
BMapOpt: Optimization of Brain Tissue Probability Maps using a Differentiable MRI Simulator
Profiling LoRA/QLoRA Fine-Tuning Efficiency on Consumer GPUs: An RTX 4060 Case Study
Extending NGU to Multi-Agent RL: A Preliminary Study
Kernelization Lower Bounds for Finding Constant Size Subgraphs
Kernel Search approach to solve the Minimum Spanning Tree Problem with conflicting edge pairs
A robust three-way classifier with shadowed granular-balls based on justifiable granularity
Syntactic sensitive complexity for symbol-free sequence
Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case
Efficient Decoding of Folded Linearized Reed-Solomon Codes in the Sum-Rank Metric
Robust Decision-Focused Learning for Reward Transfer
Load Distribution Composite Design Pattern for Genetic Algorithm-Based Autonomic Computing Systems
On the Existence of Perfect Splitter Sets
Towards robust audio spoofing detection: a detailed comparison of traditional and learned features
Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor
SPIKE: Secure and Private Investigation of the Kidney Exchange problem
Understanding Transfer Learning via Mean-field Analysis
TACO-Net: Topological Signatures Triumph in 3D Object Classification
A group-theoretic approach to Shannon capacity of graphs and a limit theorem from lattice packings
Multi-Class and Automated Tweet Categorization
Aligning Partially Overlapping Point Sets: an Inner Approximation Algorithm
SPEED: Speculative Pipelined Execution for Efficient Decoding
Quantum-Inspired Approximations to Constraint Satisfaction Problems
Comparison and Evaluation of 2D and 3D Range Sensors
An Efficient Algorithm for Multiple-Pursuer-Multiple-Evader Pursuit/Evasion Game
Problem-dependent attention and effort in neural networks with an application to image resolution
Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants
Towards an Optimal Control Perspective of ResNet Training
Deep Meta-Learning: Learning to Learn in the Concept Space
WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset
A Categorical Model for Classical and Quantum Block Designs
Early text classification: a Naive solution
PQuAD: A Persian Question Answering Dataset
Numeric certified algorithm for the topology of resultant and discriminant curves
Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos
Energy Efficient Resource Allocation in Machine-to-Machine Communications with Multiple Access and Energy Harvesting for IoT
RealDiffFusionNet: Neural Controlled Differential Equation Informed Multi-Head Attention Fusion Networks for Disease Progression Modeling Using Real-World Data
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation
Formation Games of Reliable Networks
Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks
Multi-Objective Multidisciplinary Optimization of Wave Energy Converter Array Layout and Controls
PREAMBLE and IMRECEIVING for Improved Large Message Handling in libp2p GossipSub
Two limitations of our knowledge of quality
How to Achieve Higher Accuracy with Less Training Points?
Identifiable Generative Models for Missing Not at Random Data Imputation
Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis
Clones of the Unclonable: Nanoduplicating Optical PUFs and Applications
Vcache: Caching Dynamic Documents
Responsive Web User Interface to Recover Training Data from User Gradients in Federated Learning
Emergent (In)Security of Multi-Cloud Environments
LightLDA: Big Topic Models on Modest Compute Clusters
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation
An Open Source Representation for the NYS Electric Grid to Support Power Grid and Market Transition Studies
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity
Explicit correlation amplifiers for finding outlier correlations in deterministic subquadratic time
Dynamic Character Graph via Online Face Clustering for Movie Analysis
Understanding the Structure and Resilience of the Brazilian Federal Road Network Through Network Science
Trust and Acceptance of Multi-Robot Systems "in the Wild". A Roadmap exemplified within the EU-Project BugWright2
Development and evaluation of a system to express a sense of telekinesis in VR
Transport based particle methods for the Fokker-Planck-Landau equation
Augmented Reality for Depth Cues in Monocular Minimally Invasive Surgery
DAWN-SI: Data-Aware and Noise-Informed Stochastic Interpolation for Solving Inverse Problems
Multi-View Substructure Learning for Drug-Drug Interaction Prediction
AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers
Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting
How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification
Constraint-based Adversarial Example Synthesis
Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes
Efficient parametrization of multi-domain deep neural networks
Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods
Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of G N -Coset Codes
GREENER: A Tool for Improving Energy Efficiency of Register Files
Learning Robust Real-Time Cultural Transmission without Human Data
Automatic Generation of Attention Rules For Containment of Machine Learning Model Errors
ZigBee Based Wireless Data Acquisition Using LabVIEW for Implementing Smart Driving Skill Evaluation System
DAIR: Data Augmented Invariant Regularization
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices
PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning
DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task
Three-Dimensional Investigation of the Metric Properties of Parabolic Double Projection Involving Catadioptric Camera
Recursive Privacy-Preserving Estimation Over Markov Fading Channels
Learning Private Representations through Entropy-based Adversarial Training
Online Primal-Dual Algorithms with Predictions for Packing Problems
Quantifying Accuracy of an Event-Based Star Tracker via Earth's Rotation
Automated Analysis of Scenario-based Specifications of Distributed Access Control Policies with Non-Mechanizable Activities (Extended Version)
PerspAct: Enhancing LLM Situated Collaboration Skills through Perspective Taking and Active Vision
Stochastic Analysis of Non-slotted Aloha in Wireless Ad-Hoc Networks
Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data
Copilot Security: A User Study
Tuneable Capacitor based on dual picks profile of the sacrificial layer
Dirty derivatives for output feedback stabilization
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Introducing an innovative robot-based mobile platform for programming learning
Data Augmentation via Diffusion Model to Enhance AI Fairness
Bona-Smith-type systems in bounded domains with slip-wall boundary conditions: Theoretical justification and a conservative numerical scheme
Efficient numerical methods for Anisotropic Diffusion of Galactic Cosmic Rays
Locally Random P-adic Alloy Codes with Channel Coding Theorems for Distributed Coded Tensors
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations
Evaluating Machines by their Real-World Language Use
Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract
Semantics, Verification, and Efficient Implementations for Tristate Numbers
Inferring Agents Preferences as Priors for Probabilistic Goal Recognition
A PRISMA Driven Systematic Review of Publicly Available Datasets for Benchmark and Model Developments for Industrial Defect Detection
Optimizing Ride-Pooling Revenue: Pricing Strategies and Driver-Traveller Dynamics
Coconut: a scalable bottom-up approach for building data series indexes
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic
Exploiting Universal Redundancy
Attention-based Bidirectional LSTM for Deceptive Opinion Spam Classification
Scheduling with Service-Time Information: The Power of Two Priority Classes
Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models
Distilling Reinforcement Learning into Single-Batch Datasets
Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy
SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-guided Video Editing
On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
A posteriori Error Estimation for the Spectral Deferred Correction Method
Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants
Wastewater Pipe Rating Model Using Natural Language Processing
Locality-preserving allocations Problems and coloured Bin Packing
Quiver Laplacians and Feature Selection
A Primer on 3GPP Narrowband Internet of Things (NB-IoT)
Complexity Analysis for Call-by-Value Higher-Order Rewriting
Highly Accelerated Multishot EPI through Synergistic Combination of Machine Learning and Joint Reconstruction
Deep Quaternion Features for Privacy Protection
Classification and degenerations of small minimal border rank tensors via modules
Intra-neuronal attention within language models Relationships between activation and semantics
C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation
Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses
A Strategy for Implementing description Temporal Dynamic Algorithms in Dynamic Knowledge Graphs by SPIN
Ab initio nonparametric variable selection for scalable Symbolic Regression with large p
Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms
Intel RealSense Stereoscopic Depth Cameras
Attention Mechanisms in Computer Vision: A Survey
Self-Sustaining Caching Stations: Towards Cost-Effective 5G-Enabled Vehicular Networks
An Efficient Subpopulation-based Membership Inference Attack
Symplectic self-orthogonal quasi-cyclic codes
Adiabatic Quantum Algorithms for the NP-Complete Maximum-Weight Independent Set, Exact Cover and 3SAT Problems
A Low-Power Neuromorphic Approach for Efficient Eye-Tracking
Overcoming voltage fluctuation in electric vehicles by considering Al electrolytic capacitor-based voltage stabilizer
A variance modeling framework based on variational autoencoders for speech enhancement
Powering AI at the Edge: A Robust, Memristor-based Binarized Neural Network with Near-Memory Computing and Miniaturized Solar Cell
Optimal Error Analysis of Channel Estimation for IRS-assisted MIMO Systems
A Capacity Improvement Method for CDMA based Mesh Networks in SUI Multipath Fading Channels
PhantomLint: Principled Detection of Hidden LLM Prompts in Structured Documents
Co-Designing Robots by Differentiating Motion Solvers
Bridging Theory and Practice in Link Representation with Graph Neural Networks
When Geometric Deep Learning Meets Pretrained Protein Language Models
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
Matrix Distributed Processing: A set of C++ Tools for implementing generic lattice computations on parallel systems
Incident Light Frequency-based Image Defogging Algorithm
Connectivity in Semi-Algebraic Sets I
Sample Efficient Social Navigation Using Inverse Reinforcement Learning
Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis
On Linear Information Systems
Momentum Equation-Based Regularization and Image Registration for Two-Dimensional Ultrasound Elasticity Imaging
Static Deep Q-learning for Green Downlink C-RAN
Terabit-per-Second Multicore Polar Code Successive Cancellation Decoders
The Economic and Sustainability Future of Cellular Networks
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection
TACE: Tumor-Aware Counterfactual Explanations
Pushing Fast and Slow: Task-Adaptive MPC for Pushing Manipulation Under Uncertainty
MIMO ARQ with Multi-bit Feedback: Outage Analysis
On Approximating Functions of the Singular Values in a Stream
NL Is Strictly Contained in P
Machine Learning with Lexical Features: The Duluth Approach to Senseval-2
LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
PCFGaze: Physics-Consistent Feature for Appearance-based Gaze Estimation
Multicarrier ISAC: Advances in Waveform Design, Signal Processing and Learning under Non-Idealities
Explainable Signature-based Machine Learning Approach for Identification of Faults in Grid-Connected Photovoltaic Systems
Forecasting Multilinear Data via Transform-Based Tensor Autoregression
Optimal adaptive testing for epidemic control: combining molecular and serology tests
Advancing Tabular Stroke Modelling Through a Novel Hybrid Architecture and Feature-Selection Synergy
Musical Instrument Classification via Low-Dimensional Feature Vectors
Oblivious Transfer based on Key Exchange
Detecting Memorization in Large Language Models
Combining LSTM and Latent Topic Modeling for Mortality Prediction
Clustering with Communication: A Variational Framework for Single Cell Representation Learning
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks
Impersonation: Modeling Persona in Smart Responses to Email
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation
An Explicit Construction of Optimal Dominating Sets in Grid
Contributions of natural ventilation on thermal performance of alternative floor plan designs
Optimal Sampled-Data Control of a Nonlinear System
Incorporating dense metric depth into neural 3D representations for view synthesis and relighting
FORT: Forward-Only Regression Training of Normalizing Flows
Fair Active Ranking from Pairwise Preferences
A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product
Image Compression and Classification Using Qubits and Quantum Deep Learning
Understanding and Minimising Outlier Features in Neural Network Training
A Structure-preserving, Operator Splitting Scheme for Reaction-Diffusion Equations Involving the Law of Mass Action
Optimal Perturbation Budget Allocation for Data Poisoning in Offline Reinforcement Learning
Efficient Curvature Estimation for Oriented Point Clouds
MARAuder's Map: Motion-Aware Real-time Activity Recognition with Layout-Based Trajectories
Wave Computing based on Dynamical Networks: Applications in Optimization Problems
pLSTM: parallelizable Linear Source Transition Mark networks
Scaffolding Flexible Ideation Workflows with AI in Creative Problem-Solving
EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training
Chance Constrained Economic Dispatch Considering the Capability of Network Flexibility Against Renewable Uncertainties
Straight-Through Estimator as Projected Wasserstein Gradient Flow
Real-Time Computation of Parameter Fitting and Image Reconstruction Using Graphical Processing Units
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space
Probability Bracket Notation: Markov State Chain Projector, Hidden Markov Models and Dynamic Bayesian Networks
Shift Convolution Network for Stereo Matching
Can Global Optimization Strategy Outperform Myopic Strategy for Bayesian Parameter Estimation?
The red one!: On learning to refer to things based on their discriminative properties
Multi-granularity Argument Mining in Legal Texts
Calibrating sufficiently
Improved IKE Key Exchange Protocol Combined with Computer Security USB Key Device
Metasurfaces and Optimal transport
Newton-Based Optimization for Nonnegative Tensor Factorizations
Multimodal Contextualized Plan Prediction for Embodied Task Completion
Rejecting Cognitivism: Computational Phenomenology for Deep Learning
A second order difference scheme for time fractional diffusion equation with generalized memory kernel
Generalized Entropies and the Similarity of Texts
Four-dimensional signalling schemes - Application to satellite communications
Repartitioning of the ComplexWebQuestions Dataset
Private Attacks in Longest Chain Proof-of-stake Protocols with Single Secret Leader Elections
Advances in the Design and Implementation of a Multi-Tier Architecture in the GIPSY Environment
(1-ε)-Approximate Maximum Weighted Matching in poly(1/ε, log n) Time in the Distributed and Parallel Settings
A fifth-order absolutely convergent fixed-point fast sweeping hybrid alternative WENO scheme for steady state of hyperbolic conservation laws
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
Asymmetrical two-level scalar quantizer with extended Huffman coding for compression of Laplacian source
Surveillance Capitalism Revealed: Tracing The Hidden World Of Web Data Collection
The k-Fréchet distance
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus
Performance Analysis of Robust Stable PID Controllers Using Dominant Pole Placement for SOPTD Process Models
What If: Generating Code to Answer Simulation Questions
Increase of Low-Frequency Modes of User Dynamics in Online Social Networks During Overheating of Discussions
Blockchain Intelligence: When Blockchain Meets Artificial Intelligence
Distributions of Upper PAPR and Lower PAPR of OFDM Signals in Visible Light Communications
wPINNs: Weak Physics informed neural networks for approximating entropy solutions of hyperbolic conservation laws
Variance of finite difference methods for reaction networks with non-Lipschitz rate functions
Towards Automated Cadastral Boundary Delineation from UAV Data
Hyper-Parameter Tuning for the (1+(λ, λ)) GA
Tunneling Neural Perception and Logic Reasoning through Abductive Learning
Airlift Challenge: A Competition for Optimizing Cargo Delivery
Google matrix analysis of DNA sequences
"Why the face?": Exploring Robot Error Detection Using Instrumented Bystander Reactions
Systematic Alias Sampling: an efficient and low-variance way to sample from a discrete distribution
Decentralized and Distributed Temperature Control via HVAC Systems in Energy Efficient Buildings
Learning Semi-Structured Representations of Radiology Reports
DLACB: Deep Learning Based Access Control Using Blockchain
Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU
Static Information Flow Control Made Simpler
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
Advancing high-fidelity 3D and Texture Generation with 2.5D latents
DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling
The Ecosystem of Trust (EoT): Enabling effective deployment of autonomous systems through collaborative and trusted ecosystems
A Comprehensive Framework for Automated Quality Control in the Automotive Industry
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization
Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
Compositional Zero-Shot Learning: A Survey
Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion
Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization
Sound localization using compressive sensing
High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting
Region-based Layout Analysis of Music Score Images
Thermal-Aware Floorplanner for 3D IC, including TSVs, Liquid Microchannels and Thermal Domains Optimization
Toward Neural Network Simulation of Variational Quantum Algorithms
Paving the Way for Pass Disturb Free Vertical NAND Storage via A Dedicated and String-Compatible Pass Gate
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders
Through Global Monitoring to School of the Future: Smartphone as a Laboratory in Pocket of Each Student
Discrepancy-Aware Attention Network for Enhanced Audio-Visual Zero-Shot Learning
Poincaré Duality for Generalized Persistence Diagrams of (co)Filtrations
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
Survey about social engineering and the Varni na internetu awareness campaign, 2020
Robust Optimization, Structure/Control co-design, Distributed Optimization, Monolithic Optimization, Robust Control, Parametric Uncertainty
Informational Health -Toward the Reduction of Risks in the Information Space
Energy Efficiency Optimization for Device-to-Device Communication Underlaying Cellular Networks in Millimeter-Wave
Cache Management for Mixture-of-Experts LLMs - extended version
Solution to a problem on isolation of 3-vertex paths
Synthesis of Binary k-Stage Machines
Reliability Testing Strategy - Reliability in Software Engineering
Incorporating social norms into a configurable agent-based model of commuting behaviour
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation
Machine Learning Estimation of Maximum Vertical Velocity from Radar
NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
Topic Diffusion and Emergence of Virality in Social Networks
Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
A Latent Restoring Force Approach to Nonlinear System Identification
Scene Graph Conditioning in Latent Diffusion
A dissipative particle swarm optimization
Machine learning moment closure models for the radiative transfer equation I: directly learning a gradient based closure
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection
Global sensitivity analysis of battery equivalent circuit model parameters
Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO
Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-Hoc Networks