yusuke1997/dblp-id-title huggingface dataset:
Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes
Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks
Enabling High-Frequency Trading with Near-Instant, Trustless Cross-Chain Transactions via Pre-Signing Adaptor Signatures
Survey of Adversarial Robustness in Multimodal Large Language Models
Leveraging Large Language Models for Mobile App Review Feature Extraction
AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
Residual CNDS
Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals
Latent space conditioning for improved classification and anomaly detection
A class of flexible and efficient partitioned Runge-Kutta-Chebyshev methods for some time-dependent partial differential equations
Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning
Note on bounds for symmetric divergence measures
Mutual Information in Coupled Double Quantum Dots: A Simple Analytic Model for Potential Artificial Consciousness
A New Upper Bound for Separating Words
A survey of textual cyber abuse detection using cutting-edge language models and large language models
URSimulator: Human-Perception-Driven Prompt Tuning for Enhanced Virtual Urban Renewal via Diffusion Models
A Comprehensive and Cross-Platform Test Suite for Memory Safety - Towards an Open Framework for Testing Processor Hardware Supported Security Extensions
Bayesian Online Change Point Detection for Baseline Shifts
Interference Mitigation Using Uplink Power Control for Two-Tier Femtocell Networks
Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs
Fault Localization via Fine-tuning Large Language Models with Mutation Generated Stack Traces
New Results on Vertices that Belong to Every Minimum Locating-Dominating Code
BALPA: A Balanced Primal-Dual Algorithm for Nonsmooth Optimization with Application to Distributed Optimization
Revisit Lmser and its further development based on convolutional layers
Propensity score estimation using classification and regression trees in the presence of missing covariate data
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation
Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck
BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction
Anonymous Refugee Housing with Upper-Bounds
Optimal Regulation of Blood Glucose Level in Type I Diabetes using Insulin and Glucagon
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection
Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations
Black-Box Autoregressive Density Estimation for State-Space Models
CLIP-FTI: Fine-Grained Face Template Inversion via CLIP-Driven Attribute Conditioning
From Federated Learning to Federated Neural Architecture Search: A Survey
Towards Federated Digital Twin Platforms
NotPlaNET: Removing False Positives from Planet Hunters TESS with Machine Learning
Towards mutual synchronization of serially connected Spin Torque Oscillators based on magnetic tunnel junctions
Visible Light Communications Based Indoor Positioning via Compressed Sensing
QBF-Based Boolean Function Bi-Decomposition
Evolution Patterns: Designing and Reusing Architectural Evolution Knowledge to Introduce Architectural Styles
MOVE: A Mixture-of-Vision-Encoders Approach for Domain-Focused Vision-Language Processing
Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset
Generalization of Quadratic Manifolds for Reduced Order Modeling of Nonlinear Structural Dynamics
Knowledge-Graph Based RAG System Evaluation Framework
Mobile Security for the modern CEO: Attacks, Mitigations, and Future Trends
Classifying Approximation Algorithms: Understanding the APX Complexity Class
Regularizing Generative Adversarial Networks under Limited Data
Controllability of Ensemble Formation System over Digraph
MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
Optimal Bi-Valued Auctions
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing
Discriminative Training: Learning to Describe Video with Sentences, from Video Described with Sentences
Design of Reconfigurable Rim Scattering Reflectarrays for Null Steering in Reflector Antennas
Simulation of neural function in an artificial Hebbian network
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning
CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
Diarisation using location tracking with agglomerative clustering
Optimal Marketing Policy in a Random Network
Coupling Speech Encoders with Downstream Text Models
Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision?
Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy
Vulnerability-Based Optimal Grid Defense Strategies for Enhancing Cyber-Physical Energy System Resilience
An analysis of the Rayleigh-Ritz and refined Rayleigh-Ritz methods for nonlinear eigenvalue problems
Learning and generalization of compositional representations of visual scenes
Autonomous Industrial Assembly using Force, Torque, and RGB-D sensing
Arbitrarily Fast Tracking Multivariable Least-squares MRAC
The Trade-off between Processing Gains of an Impulse Radio UWB System in the Presence of Timing Jitter
Toward Mention Detection Robustness with Recurrent Neural Networks
An Empirical Study of Code Obfuscation Practices in the Google Play Store
Inference of Media Bias and Content Quality Using Natural-Language Processing
LiDAR Odometry Survey: Recent Advancements and Remaining Challenges
Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey
Phase diagram for two-layer ReLU neural networks at infinite-width limit
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
On the Complexity of Hub Labeling
Methods to Estimate Advanced Driver Assistance System Penetration Rates in the United States
Time Reversal with Post-Equalization for OFDM without CP in Massive MIMO
Can Language Models Enable In-Context Database?
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Controllable cross-speaker emotion transfer for end-to-end speech synthesis
Adapting Behaviour Based On Trust In Human-Agent Ad Hoc Teamwork
Multiscale Event Detection in Social Media
Optimizing Pilot Overhead for Ultra-Reliable Short-Packet Transmission
Orion+: Automated Problem Diagnosis in Computing Systems by Mining Metric Data
Generation of Human-aware Navigation Maps using Graph Neural Networks
The Developmental Landscape of In-Context Learning
Translation of Temporal Logic for Efficient Infinite-State Reactive Synthesis (Full Version)
Enhancing Pharmacovigilance with Drug Reviews and Social Media
Efficient Decoding of Partial Unit Memory Codes of Arbitrary Rate
Multichannel Source Separation and Speech Enhancement Using the Convolutive Transfer Function
Two-layer Coded Channel Access with Collision Resolution: Design and Analysis
Randomized learning-augmented auctions with revenue guarantees
A Plea for Neutral Comparison Studies in Computational Sciences
Attention Is Not All You Need Anymore
A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
Greedy Discovery of Ordinal Factors
Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
Learning Summary Statistics for Bayesian Inference with Autoencoders
Detecting anxiety and depression in dialogues: a multi-label and explainable approach
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database
Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning
Trustworthiness Preservation by Copies of Machine Learning Systems
Seeing Science
Data Distribution-based Curriculum Learning
A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement
A Study On ID-based Authentication Schemes for Telecare Medical Information System
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?
Task-Based Learning via Task-Oriented Prediction Network
Multi-Community Spectral Clustering for Geometric Graphs
Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts
How fragile are information cascades?
A compact Verilog-A ReRAM switching model
Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control
Comparative Evaluation of Neural Network Architectures for Generalizable Human Spatial Preference Prediction in Unseen Built Environments
Improved Sufficient Conditions for Sparse Recovery with Generalized Orthogonal Matching Pursuit
Modeling Creativity: Case Studies in Python
An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators
Low-complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform
The Switch from Conventional to SDN: The Case for Transport-Agnostic Congestion Control
The Dune Python Module
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields
Endogenous Coalition Formation in Policy Debates
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems
IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resources
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing
Decoupled classifiers for fair and efficient machine learning
A LASSO-Inspired Approach for Localizing Power System Infeasibility
Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme
Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach
Simple one-pass algorithm for penalized linear regression with cross-validation on MapReduce
EmoNews: A Spoken Dialogue System for Expressive News Conversations
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
MuBlE: MuJoCo and Blender simulation Environment and Benchmark for Task Planning in Robot Manipulation
Mixing, Ergodic, and Nonergodic Processes with Rapidly Growing Information between Blocks
Effective Field Neural Network
OTFusion: Bridging Vision-only and Vision-Language Models via Optimal Transport for Transductive Zero-Shot Learning
retina-VAE: Variationally Decoding the Spectrum of Macular Disease
On Input Formats for Radar Micro-Doppler Signature Processing by Convolutional Neural Networks
Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling
Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness
Convergence analysis of a quasi-Monte Carlo-based deep learning algorithm for solving partial differential equations
Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status
Robust Control For Spacecraft Attitude Tracking Under Multiple Physical Limitations with Guaranteed Performance
Fair Division Beyond Monotone Valuations
Energy Efficiency Considerations for Popular AI Benchmarks
Functional-Decode-Forward for the General Discrete Memoryless Two-Way Relay Channel
Sensing of inspiration events from speech: comparison of deep learning and linguistic methods
Punctured Binary Simplex Codes as LDPC codes
Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification
Diagonal and normal with Toeplitz-block splitting iteration method for space fractional coupled nonlinear Schrödinger equations with repulsive nonlinearities
Counting weighted independent sets beyond the permanent
Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion
Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling
Sample-and-Gather: Fast Ruling Set Algorithms in the Low-Memory MPC Model
Untangling the Web of E-Research: Towards a Sociology of Online Knowledge
On the Random Batch Method for second order interacting particle systems
Recent Developments in AI and USPTO Open Data
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Aggregated demand flexibility prediction of residential thermostatically controlled loads and participation in electricity balance markets
Multi-view 3D surface reconstruction from SAR images by inverse rendering
Inference of unknown syndrome values in the implementation of the Berlekamp-Massey-Sakata algorithm
Privacy Risks in Time Series Forecasting: User- and Record-Level Membership Inference
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
'Studies for': A Human-AI Co-Creative Sound Artwork Using a Real-time Multi-channel Sound Generation Model
On the Spectrum of Large Random Hermitian Finite-Band Matrices
Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
STERLING: Synergistic Representation Learning on Bipartite Graphs
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation
Diagrammatic Analysis for Parameterized Quantum Circuits
Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
L2Calib: SE(3)-Manifold Reinforcement Learning for Robust Extrinsic Calibration with Degenerate Motion Resilience
Degree-restricted strength decompositions and algebraic branching programs
Rectangular Kronecker coefficients and plethysms in geometric complexity theory
Histograms of Gaussian normal distribution for feature matching in clutter scenes
Logarithmic Positional Partition Interval Encoding
On mechanisms for transfer using landmark value functions in multi-task lifelong reinforcement learning
Instagrammable Data: Using Visuals to Showcase More Than Numbers on AJ Labs Instagram Page
To Vaccinate or not to Vaccinate? Analyzing 𝕏 Power over the Pandemic
Kernelization for Treewidth-2 Vertex Deletion
On the Complexity of Majority Illusion in Social Networks
A multivariate stochastic model to assess research performance
Estimate Analysis of a Fully Discrete Mixed Finite Element Scheme for Stochastic Incompressible Navier-Stokes Equations with Multiplicative Noise
Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach
KGMM - A Maturity Model for Scholarly Knowledge Graphs based on Intertwined Human-Machine Collaboration
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
SelfIE: Self-Initiated Explorable Instructions Towards Enhanced User Experience
UMS-VINS: United Monocular-Stereo Features for Visual-Inertial Tightly Coupled Odometry
Spherical Message Passing for 3D Graph Networks
Recurrent Memory Array Structures
A Verified Information-Flow Architecture
Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
Continuous sentiment scores for literary and multilingual contexts
Invisible Flow Watermarks for Channels with Dependent Substitution, Deletion, and Bursty Insertion Errors
The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
Mean field games master equations: from discrete to continuous state space
Feature Impact Analysis on Top Long-Jump Performances with Quantile Random Forest and Explainable AI Techniques
Two Problems about Monomial Bent Functions
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
Ordinals and recursive algorithms
A New Clustering Algorithm Based on Near Neighbor Influence
Two algorithms to decide Quantifier-free Definability in Finite Algebraic Structures
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs
A Retinal Image Enhancement Technique for Blood Vessel Segmentation Algorithm
A particle-in-Fourier method with energy conservation for non-periodic boundary conditions
Robust Tracking for a 3D Diffusion Equation: Controlling Seismicity Rate in Geothermal Reservoirs
Exploring Transformer Backbones for Image Diffusion Models
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning
Minimizing Structural Vibrations via Guided Flow Matching Design Optimization
BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-agent and Swarm Control
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation
Making the Best of Limited Memory in Multi-Player Discounted Sum Games
Self-Supervised Object Segmentation with a Cut-and-Pasting GAN
Envy-free divisions of a partially burnt cake
TRACER: Extreme Attention Guided Salient Object Tracing Network
Methods of tropical optimization in rating alternatives based on pairwise comparisons
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
TzK Flow - Conditional Generative Model
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets
Semantics-based Automated Web Testing
Model Checking a C++ Software Framework, a Case Study
Efficient neuro-fuzzy system and its Memristor Crossbar-based Hardware Implementation
Evidence of Inter-state Coordination amongst State-backed Information Operations
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection
Security Diffusion Games
Supervised Contrastive Block Disentanglement
A Neural Network Approach to a Modified Quadratic Boost Multiport Resonant Converter for Electric Vehicle Chargers
HS-Patch: A New Hermite Smart Bicubic Patch Modification
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation
MOMBAT: Heart Rate Monitoring from Face Video using Pulse Modeling and Bayesian Tracking
Niimpy: a toolbox for behavioral data analysis
Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving
Evaluating the Impact of Packet Scheduling and Congestion Control Algorithms on MPTCP Performance over Heterogeneous Networks
ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search
A trust-based security mechanism for nomadic users in pervasive systems
Image fusion using symmetric skip autoencodervia an Adversarial Regulariser
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning
A perspective on the advancement of natural language processing tasks via topological analysis of complex networks
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
Renewing computing paradigms for more efficient parallelization of single-threads
On Allocation Policies for Power and Performance
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Convergence of optimizers implies eigenvalues filtering at equilibrium
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms
C 2 /AV-TSE: Context and Confidence-aware Audio Visual Target Speaker Extraction
HHLPy: Practical Verification of Hybrid Systems using Hoare Logic
Deep Haar Scattering Networks in Pattern Recognition: A promising approach
Representation of 2D frame less visual space as a neural manifold and its information geometric interpretation
Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering
Non-parametric resampling of random walks for spectral network clustering
Efficient and Accurate Automatic Python Bindings with cppyy & Cling
Quantifying Information Flow During Emergencies
Nonlocal metasurfaces for spectrally decoupled wavefront manipulation and eye tracking
Ternary and Quaternary CNTFET Full Adders are less efficient than the Binary Ones for Carry-Propagate Adders
Image Set based Collaborative Representation for Face Recognition
Mean Oriented Riesz Features for Micro Expression Classification
Neuromorphic Online Clustering and Classification
To Vote Before Decide: A Logless One-Phase Commit Protocol for Highly-Available Datastores
Low Complexity Precoding and Detection in Multi-user Massive MIMO OTFS Downlink
Marginal Fairness: Fair Decision-Making under Risk Measures
Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs - A Multinational Study
Intelligent Reflecting Surfaces that Track a Mobile Receiver: A Continuous Time Propagation Model
MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactment
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
Automatic techniques for cochlear implant CT image analysis
A Probabilistic Approach Towards Exact-Repair Regeneration Codes
KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit
Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
Experimental Evaluation of an SDN Controller for Open Optical-circuit-switched Networks
A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights
Practical Imitation Learning in the Real World via Task Consistency Loss
A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems
Making deep neural networks work for medical audio: representation, compression and domain adaptation
Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning
Universal approximation property of invertible neural networks
Smart Speech Segmentation using Acousto-Linguistic Features with look-ahead
SNR-based beaconless multi-scan link acquisition model with vibration for LEO-to-ground laser communication
First Attentions Last: Better Exploiting First Attentions for Efficient Transformer Training
Catastrophic Importance of Catastrophic Forgetting
Computational Performance Aware Benchmarking of Unsupervised Concept Drift Detection
Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
Complex Tilings
Leveraging Neural Representations for Audio Manipulation
HAT: Hybrid Attention Transformer for Image Restoration
An Optimal Offline Algorithm for List Update
Context-aware Sequential Recommendation
ThaiCoref: Thai Coreference Resolution Dataset
PySensors 2.0: A Python Package for Sparse Sensor Placement
Photorealistic Phantom Roads in Real Scenes: Disentangling 3D Hallucinations from Physical Geometry
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand
Dealing with the database variability problem in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring
How people interact in evolving online affiliation networks
Density-Wise Two Stage Mammogram Classification using Texture Exploiting Descriptors
An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop
A New Modal Framework for Epistemic Logic
Network Topology Identification from Spectral Templates