yusuke1997/dblp-id-title huggingface dataset:
Compression with wildcards: All induced subgraphs that are (respectively) connected, chordal, bipartite, or forests
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision
Duplication Detection in Knowledge Graphs: Literature and Tools
German General Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
Influence Maximization with Few Simulations
SyncGuard: Robust Audio Watermarking Capable of Countering Desynchronization Attacks
Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Models
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
Unlocking the Potential: A Novel Tool for Assessing Untapped Micro-Pumped Hydro Energy Storage Systems in Michigan
Cross-view geo-localization: a survey
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping
Sparse Relational Reasoning with Object-Centric Representations
DERs-Aided Blackstart and Load Restoration Framework for Distribution Systems Considering Synchronization and Frequency Security Constraints
H2 Suboptimal Output Synchronization of Heterogeneous Multi-Agent Systems
AskNow: An LLM-powered Interactive System for Real-Time Question Answering in Large-Scale Classrooms
End-to-end Automatic Speech Recognition and Speech Translation: Integration of Speech Foundational Models and LLMs
Discriminative Supervised Hashing for Cross-Modal similarity Search
GloFinder: AI-empowered QuPath Plugin for WSI-level Glomerular Detection, Visualization, and Curation
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients
RoBERTurk: Adjusting RoBERTa for Turkish
Self-Supervised Learning for Binary Networks by Joint Classifier Training
High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality
Aligning Brain Signals with Multimodal Speech and Vision Embeddings
Artificial Intelligence and Legal Analysis: Implications for Legal Education and the Profession
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits
Optimal Resource Dedication in Grouped Random Access for Massive Machine-Type Communications
Addressing Imperfect Symmetry: a Novel Symmetry-Learning Actor-Critic Extension
The Neural Painter: Multi-Turn Image Generation
TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
CLAMP: Contrastive LAnguage Model Prompt-tuning
Separation of PSPACE and EXP
Single-Image Lens Flare Removal
Fluid Antenna-Assisted MU-MIMO Systems with Decentralized Baseband Processing
Capacity of a Class of Multi-source Relay Networks
On the Behaviour of Pulsed Qubits and their Application to Feed Forward Networks
An Open-World Lottery Ticket for Out-of-Domain Intent Classification
Strategic Sacrifice: Self-Organized Robot Swarm Localization for Inspection Productivity
Efficiently updating a covariance matrix and its LDL decomposition
SOLD: Sinhala Offensive Language Dataset
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation
HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Towards information-rich, logical text generation with knowledge-enhanced neural models
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review
Industrial LLM-based Code Optimization under Regulation: A Mixture-of-Agents Approach
A high-order method for the numerical approximation of fractional nonlinear Schrödinger equations
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings
Optimizing Life Sciences Agents in Real-Time using Reinforcement Learning
Energy-efficient Machine Learning in Silicon: A Communications-inspired Approach
Assistive robot operated via P300-based Brain Computer Interface
Visualization of Real-time Displacement Time History superimposed with Dynamic Experiments using Wireless Smart Sensors (WSS) and Augmented Reality (AR)
Physics-driven machine learning models coupling PyTorch and Firedrake
LDW-SCSA: Logistic Dynamic Weight based Sine Cosine Search Algorithm for Numerical Functions Optimization
Towards LLM-based Generation of Human-Readable Proofs in Polynomial Formal Verification
Haptic BCI Paradigm based on Somatosensory Evoked Potential
Evaluating Strategies for Synthesizing Clinical Notes for Medical Multimodal AI
Geometric constellation shaping for wireless optical intensity channels
Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost
HarMoEny: Efficient Multi-GPU Inference of MoE Models
Formal State-Machine Models for Uniswap v3 Concentrated-Liquidity AMMs: Priced Timed Automata, Finite-State Transducers, and Provable Rounding Bounds
A New Learning Paradigm for Stochastic Configuration Network: SCN+
Practitioner Trajectories of Engagement with Ethics-Focused Method Creation
Distributional Shrinkage I: Universal Denoisers in Multi-Dimensions
Efficiency of Truthful and Symmetric Mechanisms in One-sided Matching
Joint IDs Embedding and its Applications in E-commerce
Small Models Are (Still) Effective Cross-Domain Argument Extractors
LCM-Lookahead for Encoder-based Text-to-Image Personalization
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation
MoMa-Kitchen: A 100K+ Benchmark for Affordance-Grounded Last-Mile Navigation in Mobile Manipulation
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
Strategies for the vectorized Block Conjugate Gradients method
Tracking Progress in Multi-Agent Path Finding
FastMPS: Revisit Data Parallel in Large-scale Matrix Product State Sampling
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models
How does information affect asymmetric congestion games?
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
Learning to mirror speaking styles incrementally
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes
Lower bounds for trace estimation via Block Krylov and other methods
A Robust Characterization of Nash Equilibrium
Incremental Inference on Higher-Order Probabilistic Graphical Models Applied to Constraint Satisfaction Problems
Ingesting High-Velocity Streaming Graphs from Social Media Sources
The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination
SQL-to-Text Generation with Weighted-AST Few-Shot Prompting
Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening
Study on the Behavior of Weakly Nonlinear Water Waves in the Presence of Random Wind Forcing
Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal Ablation
An Efficiency-Based Power Management Strategy for an Isolated Microgrid Project
NILC: Discovering New Intents with LLM-assisted Clustering
Learning for Bandits under Action Erasures
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
Proceedings First International Workshop on Decentralized Coordination of Distributed Processes, DCDP 2010, Amsterdam, The Netherlands, 10th June 2010
Information Needs and Technology Use for Daily Living Activities at Home by People Who Are Blind
Novel RL approach for efficient Elevator Group Control Systems
Complexity of Domination in Triangulated Plane Graphs
IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models
Near or far: On determining the appropriate channel estimation strategy in cross-field communication
Polynomial hierarchy, Betti numbers and a real analogue of Toda's theorem
IHC-LLMiner: Automated extraction of tumour immunohistochemical profiles from PubMed abstracts using large language models
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
Quantifying synergistic mutual information
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
Obtaining a Canonical Polygonal Schema from a Greedy Homotopy Basis with Minimal Mesh Refinement
A Conceptual Model of Intelligent Multimedia Data Rendered using Flying Light Specks
Multi-power-level Energy Saving Management for Passive Optical Networks
Automated Update of Android Deprecated API Usages with Large Language Models
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework
Reaping the Informational Surplus in Bayesian Persuasion
Mix&Match - Agent Curricula for Reinforcement Learning
Latency Optimized Asynchronous Early Output Ripple Carry Adder based on Delay-Insensitive Dual-Rail Data Encoding
Cabin Layout, Seat Density, and Passenger Segmentation in Air Transport: Implications for Prices, Ancillary Revenues, and Efficiency
Separators in region intersection graphs
Community Detection by Information Flow Simulation
HumanGif: Single-View Human Diffusion with Generative Prior
Vehicle as a Resource (VaaR)
AxPUE: Application Level Metrics for Power Usage Effectiveness in Data Centers
Significant Pattern Mining on Continuous Variables
Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression
One or Two Components? The Scattering Transform Answers
Uniform multicommodity flow in the hypercube with random edge capacities
Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors
Unlocking the Archives: Using Large Language Models to Transcribe Handwritten Historical Documents
Evaluating TCFD Reporting: A New Application of Zero-Shot Analysis to Climate-Related Financial Disclosures
Quantum enigma machines and the locking capacity of a quantum channel
Scholarly Twitter metrics
Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion
Learning Linear Non-Gaussian Polytree Models
Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
Analisis laporan tugas akhir mahasiswa Diploma I dari sudut pandang kaidah ilmiah dan penggunaan teknologi informasi
Contributions to the Formalization and Extraction of Generic Bases of Association Rules
Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Deep Learning Based NLOS Identification with Commodity WLAN Devices
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation
Fool's Solitaire on Joins and Cartesian Products of Graphs
Research Portfolio Analysis and Topic Prominence
Memory GAPS: Would LLMs pass the Tulving Test?
SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction
Convolutional Neural Networks as 2-D systems
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction
A Remarkably Efficient Paradigm to Multimodal Large Language Models for Sequential Recommendation
SwishReLU: A Unified Approach to Activation Functions for Enhanced Deep Neural Networks Performance
Supervised Metric Learning for Retrieval via Contextual Similarity Optimization
TechOps: Technical Documentation Templates for the AI Act
Simpler Transfer Learning (Using "Bellwethers")
Illumination-invariant Face recognition by fusing thermal and visual images via gradient transfer
Data-Driven Impulse Response Regularization via Deep Learning
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding
Hyperelastic nature of the Hoek-Brown criterion
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
Multiobjective optimization in Gene Expression Programming for Dew Point
High speed data retrieval from national data center (ndc) reducing time and ignoring spelling error in search key based on double metaphone algorithm
The closed loop between opinion formation and personalised recommendations
Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalisation
NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo
Fairness without the sensitive attribute via Causal Variational Autoencoder
Unsupervised Features for Facial Expression Intensity Estimation over Time
PV-faultNet: Optimized CNN Architecture to detect defects resulting efficient PV production
Do Reasoning Models Show Better Verbalized Calibration?
Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model
Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations
Hiding Local Manipulations on SAR Images: a Counter-Forensic Attack
Composition Attacks and Auxiliary Information in Data Privacy
MamT 4 : Multi-view Attention Networks for Mammography Cancer Classification
Labeling the Phrase Set of the Conversation Agent, Rinna
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
Topological SLAM in colonoscopies leveraging deep features and topological priors
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
Otaku: Intelligent Management System for Student-Intensive Dormitory
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
Ceiling Effects for Hybrid Aerial-Surface Locomotion of Small Rotorcraft
CMIP: Clone Mobile-agent Itinerary Planning Approach for Enhancing Event-to-Sink Throughput in Wireless Sensor Networks
Reentrant phase transitions and defensive alliances in social dilemmas with informed strategies
Estimating Aggregate Properties In Relational Networks With Unobserved Data
RAG-Driven Data Quality Governance for Enterprise ERP Systems
Mechanism design for large scale systems
LLM4AD: A Platform for Algorithm Design with Large Language Model
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training
Tao: Re-Thinking DL-based Microarchitecture Simulation
Deliberate Exposure to Opposing Views and its Association with Behavior and Rewards on Political Communities
Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Extracting Image Characteristics to Predict Crowdfunding Success
Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control
Western ideological homogeneity in entrepreneurial finance research: Evidence from highly cited publications
Distributed Cooperative Spectrum Sensing in Mobile Ad Hoc Networks with Cognitive Radios
Low-Resource Neural Machine Translation for Southern African Languages
Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities
Sharpness-Aware Minimization in Genetic Programming
Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences
Fair Adversarial Networks
Handling Massive N-Gram Datasets Efficiently
Negative Translations of Orthomodular Lattices and Their Logic
FlexDeMo: Decoupled Momentum Optimization for Fully and Hybrid Sharded Training
Graceful Forgetting II. Data as a Process
Parameterized Complexity of Fair Many-to-One Matchings
Classifying Cycling Hazards in Egocentric Data
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training
Finetuned Language Models Are Zero-Shot Learners
Untangling Critical Interaction with AI in Students Written Assessment
A Reexamination of the Communication Bandwidth Cost Analysis of A Parallel Recursive Algorithm for Solving Triangular Systems of Linear Equations
Community core detection in transportation networks
Testing Suffixient Sets
Multi-Modulation Network for Audio-Visual Event Localization
ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering
Enhanced block sparse signal recovery based on q-ratio block constrained minimal singular values
Service Provider DevOps network capabilities and tools
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
Comparative evaluation of 2D feature correspondence selection algorithms
Approximation Algorithms for Rectangle Packing Problems (PhD Thesis)
Force-Safe Environment Maps and Real-Time Detection for Soft Robot Manipulators
Learning Latent Structural Causal Models
SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency
Empirical Translation Process Research: Past and Possible Future Perspectives
Score Matching via Differentiable Physics
Robust Reduced-Order Model Stabilization for Partial Differential Equations Based on Lyapunov Theory and Extremum Seeking with Application to the 3D Boussinesq Equations
On the limits of agency in agent-based models
Part-based Weighting Aggregation of Deep Convolutional Features for Image Retrieval
Isolated Sign Language Recognition with Segmentation and Pose Estimation
Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
The Sassenfeld criterion revisited
Multi-Modal Multi-Task Semantic Communication: A Distributed Information Bottleneck Perspective
Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference
A Lifting Theorem for Hybrid Classical-Quantum Communication Complexity
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense
Value driven Analysis Framework of Service Ecosystem Evolution Mechanism
FL-Defender: Combating Targeted Attacks in Federated Learning
Entailment-Driven Privacy Policy Classification with LLMs
Asymptotic Network Independence and Step-Size for A Distributed Subgradient Method
Proceedings Seventh Conference on Systems Software Verification, SSV 2012, Sydney, Australia, 28-30 November 2012
Numerical Sequence Prediction using Bayesian Concept Learning
Memory Capacity of Nonlinear Recurrent Networks: Is it Informative?
A Novel Framework for Uncertainty Quantification via Proper Scores for Classification and Beyond
Pointmap-Conditioned Diffusion for Consistent Novel View Synthesis
A Generalized Cramér-Rao Bound Using Information Geometry
Review of Machine-Learning Methods for RNA Secondary Structure Prediction
IC-SECURE: Intelligent System for Assisting Security Experts in Generating Playbooks for Automated Incident Response
Dr.E Bridges Graphs with Large Language Models through Words
Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data
NeuroComb: Improving SAT Solving with Graph Neural Networks
Relational Association Rules: getting WARMeR
On "Optimal" h-Independent Convergence of Parareal and MGRIT using Runge-Kutta Time Integration
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images
Inspection of histological 3D reconstructions in virtual reality
Neocortical plasticity: an unsupervised cake but no free lunch
Multi-Dimensional Unlimited Sampling and Robust Reconstruction
Efficient Integer Retrieving from Unordered Compressed Sequences
PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning
A Multi-objective Procedure for Efficient Regression Modeling
Conceptual Modeling and Classification of Events
Assessing Foundation Models' Transferability to Physiological Signals in Precision Medicine
A(I)nimism: Re-enchanting the World Through AI-Mediated Object Interaction
Metric Reasoning About λ-Terms: The General Case (Long Version)
Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies
Enhancing Corrosion Resistance of Aluminum Alloys Through AI and ML Modeling
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification
Is spreadsheet syntax better than numeric indexing for cell selection?
SCKF-LSTM Based Trajectory Tracking for Electricity-Gas Integrated Energy System
GR-WiFi: A GNU Radio based WiFi Platform with Single-User and Multi-User MIMO Capability
Design Considerations for Building Credible Security Testbeds: A Systematic Study of Industrial Control System Use Cases
Defense Against Adversarial Attacks with Saak Transform
An Experimental Study of Deep Convolutional Features For Iris Recognition
VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models
Decomposing Direct and Indirect Biases in Linear Models under Demographic Parity Constraint
Prudential Reliability of Large Language Models in Reinsurance: Governance, Assurance, and Capital Efficiency
On Computability of Computable Problems
Method of Successive Approximations for Stochastic Optimal Control: Contractivity and Convergence
Notions, Stability, Existence, and Robustness of Limit Cycles in Hybrid Systems
Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection
Effects of Co-channel Interference on RIS Empowered Wireless Networks amid Multiple Eavesdropping Attempts
Query Attribute Modeling: Improving search relevance with Semantic Search and Meta Data Filtering
Coarse Addition and the St. Petersburg Paradox: A Heuristic Perspective
Sample Greedy Based Task Allocation for Multiple Robot Systems
Leveraging the Global Research Infrastructure to Characterize the Impact of National Science Foundation Research
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques
Cubical coherent confluence, ω-groupoids and the cube equation
New highly efficient and accurate numerical scheme for the Cahn-Hilliard-Brinkman system
Large Margin Few-Shot Learning
A Comparative Study of Various Routing Protocols in VANET
Proceedings of the 25th International Symposium on Graph Drawing and Network Visualization (GD 2017)
Benefiting from Multitask Learning to Improve Single Image Super-Resolution
Atari games and Intel processors
Trunk-branch Contrastive Network with Multi-view Deformable Aggregation for Multi-view Action Recognition
Strategic Facility Location with Clients that Minimize Total Waiting Time
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality
A viscoelastic flow model of Maxwell-type with a symmetric-hyperbolic formulation
Improving width-based planning with compact policies
MedVoiceBias: A Controlled Study of Audio LLM Behavior in Clinical Decision-Making
Comparing domain wall synapse with other Non Volatile Memory devices for on-chip learning in Analog Hardware Neural Network
CapEst: A Measurement-based Approach to Estimating Link Capacity in Wireless Networks
Exact Sequence Classification with Hardmax Transformers
A Scalable VLSI Architecture for Soft-Input Soft-Output Depth-First Sphere Decoding
Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs
Low Frequency AC Transmission Upgrades with Optimal Frequency Selection
CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation
Virtual-Peripheral-in-the-Loop : A Hardware-in-the-Loop Strategy to Bridge the VP/RTL Design-Gap
Introduction of Quantification in Frame Semantics
Identification of deep breath while moving forward based on multiple body regions and graph signal analysis
Matrix Sketching in Bandits: Current Pitfalls and New Framework
Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure
A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables