yusuke1997/dblp-id-title huggingface dataset:
Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
Strong Priority and Determinacy in Timed CCS
Combining PIN and Biometric Identifications as Enhancement to User Authentication in Internet Banking
Weight Initialization without Local Minima in Deep Nonlinear Neural Networks
Line graphs as social networks
The extended codes of a family of reversible MDS cyclic codes
Limitations of performance of Exascale Applications and supercomputers they are running on
Applied Category Theory in the Wolfram Language using Categorica I: Diagrams, Functors and Fibrations
Proximal Vision Transformer: Enhancing Feature Representation through Two-Stage Manifold Geometry
A unified convolutional beamformer for simultaneous denoising and dereverberation
Explainable Point-Based Document Visualizations
Secure Exchange of Digital Goods in a Decentralized Data Marketplace
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently
Input-Aware Auto-Tuning of Compute-Bound HPC Kernels
Parallel Algorithms for Geometric Graph Problems
How to Evaluate Semantic Communications for Images with ViTScore Metric?
Quantum radial basis function methods for scattered data fitting
Video-based Visible-Infrared Person Re-Identification with Auxiliary Samples
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions
On the interplay between physical and content priors in deep learning for computational imaging
Fast 5DOF Needle Tracking in iOCT
Comparing Foundation Models using Data Kernels
The changing role of cited papers over time: An analysis of highly cited papers based on a large full-text dataset
Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods
Variance Reduction for Policy-Gradient Methods via Empirical Variance Minimization
Language Model as Planner and Formalizer under Constraints
A Systematic Construction Approach for All 4⨉4 Involutory MDS Matrices
Rethinking Agentic Workflows: Evaluating Inference-Based Test-Time Scaling Strategies in Text2SQL Tasks
Incremental IVF Index Maintenance for Streaming Vector Search
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series
Joint CoMP-Cell Selection and Resource Allocation with Fronthaul-Constrained C-RAN
End-to-End Topology-Aware Machine Learning for Power System Reliability Assessment
Node-Specific Triad Pattern Mining: A Novel Tool for Complex-Network Analysis
Training behavior of deep neural network in frequency domain
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
Leaning Compact and Representative Features for Cross-Modality Person Re-Identification
Precision or Peril: Evaluating Code Quality from Quantized Large Language Models
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers
Many-Objective Search-Based Coverage-Guided Automatic Test Generation for Deep Neural Networks
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?
Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey
Safe Schedule Verification for Urban Air Mobility Networks with Node Closures
Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping
Securing RC Based P2P Networks: A Blockchain-based Access Control Framework utilizing Ethereum Smart Contracts for IoT and Web 3.0
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
SensorLM: Learning the Language of Wearable Sensors
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval
Practical Tera-scale Walsh-Hadamard Transform
A denoised Mean Teacher for domain adaptive point cloud registration
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning
Detecting misinformation through Framing Theory: the Frame Element-based Model
A Coordinated Search Strategy for Multiple Solitary Robots: An Extension
Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
Statistics on Open Access Books Available through the Directory of Open Access Books
On the Fermat-Weber Point of a Polygonal Chain
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation
Scalable and consistent embedding of probability measures into Hilbert spaces via measure quantization
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology
The Devil is in the Darkness: Diffusion-Based Nighttime Dehazing Anchored in Brightness Perception
Adaptively Coupled Domain Decomposition Method for Multiphase and Multicomponent Porous Media Flows
MIP Formulations for the Steiner Forest Problem
Pandemic Populism: Facebook Pages of Alternative News Media and the Corona Crisis - A Computational Content Analysis
Direct-Conflict Resolution in Intent-Driven Autonomous Networks
Optimal Index Coding with Min-Max Probability of Error over Fading Channels
Shape Inference and Grammar Induction for Example-based Procedural Generation
Data Proxy Generation for Fast and Efficient Neural Architecture Search
Open Source Reconfigurable Intelligent Surface for the Frequency Range of 5 GHz WiFi
DLADiff: A Dual-Layer Defense Framework against Fine-Tuning and Zero-Shot Customization of Diffusion Models
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
Integration of an RFID Reader to a Wireless Sensor Network and using it to Identify an Individual Carrying RFID Tags
RedDino: A foundation model for red blood cell analysis
Vertical perimeter versus horizontal perimeter
Project-connex Decompositions and Tractability of Aggregate Group-by Conjunctive Queries
Ising Models with Hidden Markov Structure: Applications to Probabilistic Inference in Machine Learning
Normalizing Diffusion Kernels with Optimal Transport
A Brief Survey of Associations Between Meta-Learning and General AI
On the Dynamics of Deterministic Epidemic Propagation over Networks
Ant Colony Optimization for Inferring Key Gene Interactions
Efficient Test-Time Prompt Tuning for Vision-Language Models
Combining Deep Metric Learning Approaches for Aerial Scene Classification
Randomized Ternary Search Tries
ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning
An efficient PMOS-based LDO design for large loads
Critical Survey of the Freely Available Arabic Corpora
Time Aggregation Techniques Applied to a Capacity Expansion Model for Real-Life Sector Coupled Energy Systems
Discovering Conservation Laws using Optimal Transport and Manifold Learning
Fairness in society
WildCode: An Empirical Analysis of Code Generated by ChatGPT
PURE Codec: Progressive Unfolding of Residual Entropy for Speech Codec Learning
A post-selection algorithm for improving dynamic ensemble selection methods
Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP
A sewage management proposal for Luruaco lake, Colombia
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
Utilizing RxNorm to Support Practical Computing Applications: Capturing Medication History in Live Electronic Health Records
Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-ray Coherent Scatter Imaging
Recurrent State Encoders for Efficient Neural Combinatorial Optimization
MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains
Generalized Tilings with Height Functions
Efficient Parallel Learning of Word2Vec
Spatial Audio Motion Understanding and Reasoning
LLM-Driven Usefulness Judgment for Web Search Evaluation
A Single-Layer Asymmetric RNN: Potential Low Hardware Complexity Linear Equation Solver
A Substrate-Independent Framework to Characterise Reservoir Computers
Singularity-Avoidance Prescribed Performance Attitude Tracking of Spacecraft
Compression for Smooth Shape Analysis
Model selection focusing on longtime behavior of differential equations
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem
Transversal achievement game on a square grid
Adversarial Attacks on Neural Models of Code via Code Difference Reduction
6G-Enabled Digital Twin Framework for Real-Time Cyber-Physical Systems: An Experimental Validation with Industrial Bearing Fault Detection
Handling Conflicts in Depth-First Search for LTL Tableau to Debug Compliance Based Languages
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection
Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation
Structured Approximation of Toeplitz Matrices and Subspaces
Rate Region Frontiers for n-user Interference Channel with Interference as Noise
Target Detection of Safety Protective Gear Using the Improved YOLOv5
Counting Maximum Matchings in Planar Graphs Is Hard
FastOrient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping
Camera-LiDAR Cross-modality Gait Recognition
Maximum bound principle for Q-tensor gradient flow with low regularity integrators
Agentic Keyframe Search for Video Question Answering
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging
DiaSynth - Synthetic Dialogue Generation Framework
Predicting CSI Sequences With Attention-Based Neural Networks
Analyzing the Effect of Embedding Norms and Singular Values to Oversmoothing in Graph Neural Networks
Semi-Supervised Cluster Extraction via a Compressive Sensing Approach
Post-training an LLM for RAG? Train on Self-Generated Demonstrations
Scalable Optimal Power Management for Large-Scale Battery Energy Storage Systems
Mind Reading at Work: Cooperation without common ground
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning
Relaxation-based dynamical Ising machines for discrete tomography
Learning Strategies in Particle Swarm Optimizer: A Critical Review and Performance Analysis
Transfer between long-term and short-term memory using Conceptors
Simplifying Dataflow Dialogue Design
Effective Non-Random Extreme Learning Machine
Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation
LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering
Efficient Antenna Optimization Using a Hybrid of Evolutionary Programing and Particle Swarm Optimization
A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data
Unavoidable Sets of Partial Words of Uniform Length
A Comprehensive Review of Few-shot Action Recognition
If open source is to win, it must go public
Beyond 𝒪(#8730;T) Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox
A Comprehensive Review of Current Robot- Based Pollinators in Greenhouse Farming
Resource Allocation Influence on Application Performance in Sliced Testbeds
A Consequentialist Critique of Binary Classification Evaluation Practices
Is it Fun?: Understanding Enjoyment in Non-Game HCI Research
Deep neural networks approach to microbial colony detection - a comparative analysis
A Novel Speech Analysis and Correction Tool for Arabic-Speaking Children
Multiple Antennas Secure Transmission under Pilot Spoofing and Jamming Attack
Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty?
CellINR: Implicitly Overcoming Photo-induced Artifacts in 4D Live Fluorescence Microscopy
Enhancing Video Transformers for Action Understanding with VLM-aided Training
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French-, English- Vietnamese
Output Containment Control of Discrete-time Multi-agent Systems with Application to Multiple Ground Vehicles
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
Region-aware Depth Scale Adaptation with Sparse Measurements
Internet of Things Search Engine: Concepts, Classification, and Open Issues
Adapting the NICT-JLE Corpus for Disfluency Detection Models
FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation
A Primer on HIBS - High Altitude Platform Stations as IMT Base Stations
A decidable class of (nominal) omega-regular languages over an infinite alphabet
Data-efficient Kernel Methods for Learning Hamiltonian Systems
QLMC-HD: Quasi Large Margin Classifier based on Hyperdisk
That which we call private
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation
Hubs and authorities of the scientific migration network
Efficient long-distance relation extraction with DG-SpanBERT
Multi-stage robust nonlinear model predictive control of a lower-limb exoskeleton robot
Parameter-Free Locally Differentially Private Stochastic Subgradient Descent
Leveraging Sentiment to Compute Word Similarity
A Year of the DSA Transparency Database: What it (Does Not) Reveal About Platform Moderation During the 2024 European Parliament Election
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
Local Orthogonal Decomposition for Maximum Inner Product Search
Development of Quantized DNN Library for Exact Hardware Emulation
Applying Psychometrics to Large Language Model Simulated Populations: Recreating the HEXACO Personality Inventory Experiment with Generative Agents
Selection of Layers from Self-supervised Learning Models for Predicting Mean-Opinion-Score of Speech
Neural network to identify individuals at health risk
Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
Untersuchung der Wirkung von Data Storytelling auf das Datenverstaendnis von Dashboard-Nutzern
Deep Reinforcement Learning for Feedback Control in a Collective Flashing Ratchet
Adaptive Low Rank Adaptation of Segment Anything to Salient Object Detection
Analyzing Wage Theft in Day Labor Markets via Principal Agent Models
Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation
Dynamic programming algorithms, efficient solution of the LP-relaxation and approximation schemes for the Penalized Knapsack Problem
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions (Extended Version)
Online Anomaly Detection Systems Using Incremental Commute Time
Gaussian Processes Online Observation Classification for RSSI-based Low-cost Indoor Positioning Systems
Look Before You Fuse: 2D-Guided Cross-Modal Alignment for Robust 3D Detection
Canonical Correlation Forests
Team Optimal Decentralized Control of System with Partially Exchangeable Agents-Part 1: Linear Quadratic Mean-Field Teams
Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI
GSNs : Generative Stochastic Networks
Privacy-Protecting COVID-19 Exposure Notification Based on Cluster Events
SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots?
Drift Detection: Introducing Gaussian Split Detector
URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding
Knowledge-based Query Expansion in Real-Time Microblog Search
Algorithmic Averaging for Studying Periodic Orbits of Planar Differential Systems
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
SHA256 at SemEval-2025 Task 4: Selective Amnesia - Constrained Unlearning for Large Language Models via Knowledge Isolation
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models
A Modularity Bug in Java 8
A novel sparsity and clustering regularization
Mutual Information-Based Unsupervised Feature Transformation for Heterogeneous Feature Subset Selection
Providing Probabilistic Robustness Guarantee for Crowdsensing
Moment-Matching Graph-Networks for Causal Inference
Reinforcement Learning for Infinite-Horizon Average-Reward MDPs with Multinomial Logistic Function Approximation
Self-supervised Learning for Hyperspectral Images of Trees
Attacking Speaker Recognition With Deep Generative Models
Real-time cortical simulations: energy and interconnect scaling on distributed systems
Efficient Utility Function Learning for Multi-Objective Parameter Optimization with Prior Knowledge
k-hop Graph Neural Networks
BYOCL: Build Your Own Consistent Latent with Hierarchical Representative Latent Clustering
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architectures
A Full Performance Analysis of Channel Estimation Methods for Time Varying OFDM Systems
Q-Map: Quantum Circuit Implementation of Boolean Functions
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning
Rotational Odometry using Ultra Low Resolution Thermal Cameras
Learned-norm pooling for deep neural networks
Edge-aware Graph Representation Learning and Reasoning for Face Parsing
A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning
Estimating small moments of data stream in nearly optimal space-time
SEVurity: No Security Without Integrity - Breaking Integrity-Free Memory Encryption with Minimal Assumptions
Minimization of the q-ratio sparsity with 1<q≤∞ for signal recovery
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning
Designing Machine Learning Surrogates using Outputs of Molecular Dynamics Simulations as Soft Labels
Program Logics for Homogeneous Generative Run-Time Meta-Programming
Experimental Demonstration of RAN Functional Split over virtual PON Transport Network
The dual-process approach to human sociality: A review
A Bayesian Approach to CT Reconstruction with Uncertain Geometry
Deep Learning Techniques for Super-Resolution in Video Games
Development of a Quantum-Resistant File Transfer System with Blockchain Audit Trail
Lattice Operations on Terms with Fuzzy Signatures
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery
Automatically identifying dynamical systems from data
An Extreme form of Superactivation for Quantum Zero-Error Capacities
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis
Lessons Learned in Quadruped Deployment in Livestock Farming
A Structure-aware Generative Model for Biomedical Event Extraction
Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications
Polyak-Ruppert Averaged Q-Leaning is Statistically Efficient
Reconstructing group wavelet transform from feature maps with a reproducing kernel iteration
Flows: Building Blocks of Reasoning and Collaborating AI
Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization
Greedy metrics in orthogonal greedy learning
Adversarially robust generalization theory via Jacobian regularization for deep neural networks
NDN4IVC: A Framework for Simulating and Testing of Applications in Vehicular Named Data Networking
Model-Driven Architectural Monitoring and Adaptation for Autonomic Systems
Maple+GrTensorII libraries for cosmology
On eliminating blocking interference of RFID unauthorized reader detection system
Deep Semantic Graph Learning via LLM based Node Enhancement
Casper: Debugging Null Dereferences with Dynamic Causality Traces
The Impact of Communication Delays on Distributed Consensus Algorithms
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive
Square Complex Orthogonal Designs with Low PAPR and Signaling Complexity
Robot Safe Planning In Dynamic Environments Based On Model Predictive Control Using Control Barrier Function
Control of the Power Flows of a Stochastic Power System
Efficient Explanations With Relevant Sets
CSHURI - Modified HURI algorithm for Customer Segmentation and Transaction Profitability
Deep Learning is Provably Robust to Symmetric Label Noise
T 2 LR-Net: An Unrolling Reconstruction Network Learning Transformed Tensor Low-Rank prior for Dynamic MR Imaging
Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis
Beware of the App! On the Vulnerability Surface of Smart Devices through their Companion Apps
Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data
The Degrees of Freedom of the Interference Channel with a Cognitive Relay under Delayed Feedback
EAMDrift: An interpretable self retrain model for time series
Learning-Rate-Free Learning: Dissecting D-Adaptation and Probabilistic Line Search
The Parallel Distributed Image Search Engine (ParaDISE)
A Case-Study on Variations Observed in Accelerometers Across Devices
Modulation of switching dynamics in magnetic tunnel junctions for low-error-rate computational random-access memory
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
VidLoc: 6-DoF Video-Clip Relocalization
ROVO: Robust Omnidirectional Visual Odometryfor Wide-baseline Wide-FOV Camera Systems
The Bounded Acceleration Shortest Path problem: complexity and solution algorithms
Research, Develop, Deploy: Building a Full Spectrum Software Engineering and Research Department
Towards the Existential Control of Boolean Networks: A Preliminary Report (Extended Abstract)
Designing Incentive Schemes Based on Intervention: The Case of Perfect Monitoring
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification
Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows
General Latent Feature Modeling for Data Exploration Tasks
ReDemon UI: Reactive Synthesis by Demonstration for Web UI
Self-Stabilizing Maximal Matching and Anonymous Networks
On the Expressiveness of a Logic of Separated Relations
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
A Case for Maximal Leakage as a Side Channel Leakage Metric
Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA
Increasing Textual Context Size Boosts Medical Image-Text Matching
DM-Bench: Benchmarking LLMs for Personalized Decision Making in Diabetes Management
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
Matching Weak Informative Ontologies
Low-Complexity Decoding for Low-Rate Block Codes of Short Length Based on Concatenated Coding Structure
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering
Photovoltaic power forecasting using quantum machine learning
Dual and Covering Radii of Extended Algebraic Geometry Codes
Neural networks approach for mammography diagnosis using wavelets features
Fixed-time control with prescribed performance for path following of underwater gliders
Graph Theory and its Uses in Graph Algorithms and Beyond
Bayesian compressed sensing with new sparsity-inducing prior
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion
Human-interpretable clustering of short-text using large language models
LLMs for Coding and Robotics Education
Repurposing of the Run 2 CMS High Level Trigger Infrastructure as a Cloud Resource for Offline Computing
Image De-Quantization Using Generative Models as Priors
Scheduling for Urban Air Mobility using Safe Learning
EEG-to-Text Translation: A Model for Deciphering Human Brain Activity