yusuke1997/dblp-id-title huggingface dataset:
A fully-decoupled second-order-in-time and unconditionally energy stable scheme for a phase-field model of two phase flow with variable density
Toward AI Assistants That Let Designers Design
Interpretable Clustering with the Distinguishability Criterion
Fine-tuning of Language Models with Discriminator
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning
Multimodal Self-Supervised Learning for Medical Image Analysis
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Recent Advances and Future Directions in Literature-Based Discovery
DONUT: A Decoder-Only Model for Trajectory Prediction
Bridging the Gap: the case for an Incompletely Theorized Agreement on AI policy
How Segment Anything Model (SAM) Boost Medical Image Segmentation?
Low frequency electrical waves in ensembles of proteinoid microspheres
Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variations
Protecting Privacy of Users in Brain-Computer Interface Applications
NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction
Introduction to Number Theoretic Transform
ByteCover: Cover Song Identification via Multi-Loss Training
Recent Advances in Convolutional Neural Networks
Custom-Tailored Clone Detection for IEC 61131-3 Programming Languages
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses
Multi-Focus Image Fusion Via Coupled Sparse Representation and Dictionary Learning
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis
Real-valued continued fraction of straight lines
Forensic Video Analytic Software
A2H: A UI Converter from Android to HarmonyOS Platform
TAPAS: Weakly Supervised Table Parsing via Pre-training
Self-Refined Generative Foundation Models for Wireless Traffic Prediction
Solving a Research Problem in Mathematical Statistics with AI Assistance
KoBLEX: Open Legal Question Answering with Multi-hop Reasoning
Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification
Convergence Properties of Newton's Method for Globally Optimal Free Flight Trajectory Optimization
Dynamic Objects Segmentation for Visual Localization in Urban Environments
GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring
Safe Multiagent Coordination via Entropic Exploration
Are Large Language Models Good Prompt Optimizers?
5G-Enabled Smart Prosthetic Hand: Connectivity Analysis and Assessment
Learning the Enigma with Recurrent Neural Networks
Robust Geometry Estimation using the Generalized Voronoi Covariance Measure
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization
Possible Controllability of Control Argumentation Frameworks - Extended Version
Tractable Resource Management in Millimeter-Wave Overlaid Ultra-Dense Cellular Networks
Infinitary Combinatory Reduction Systems: Confluence
Hyper Diffusion Avatars: Dynamic Human Avatar Generation using Network Weight Space Diffusion
Attribute-Efficient Evolvability of Linear Functions
Connectivity and Structure in Large Networks
Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter
Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors
Piecewise Divergence-Free H(div)-Nonconforming Virtual Elements for Stokes Problem in Any Dimensions
Time series analysis with dynamic law exploration
Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra
Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances
Deep Learning Training on the Edge with Low-Precision Posits
Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study
A Temporal Graph Model to Study the Dynamics of Collective Behavior and Performance in Team Sports: An Application to Basketball
Solar Power Prediction Using Satellite Data in Different Parts of Nepal
To charge in-flight or not: an inquiry into parallel-hybrid electric aircraft configurations via optimal control
PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation
Co-Evolution of Multi-Robot Controllers and Task Cues for Off-World Open Pit Mining
Invertibility and Robustness of Phaseless Reconstruction
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models
Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?
Energy-stable global radial basis function methods on summation-by-parts form
Probabilistic load forecasting with Reservoir Computing
The Algorithmic LLL and the Witness Tree Lemma
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing
Event-based Gesture Recognition with Dynamic Background Suppression using Smartphone Computational Capabilities
Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods
Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI - Should Different Clinical Objectives Mandate Different Loss Functions?
AVA: Fault-tolerant Reconfigurable Geo-Replication on Heterogeneous Clusters
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains
A Novel Efficient Reversible Full Adder-Subtractor in QCA Nanotechnology
A decision-making tool to fine-tune abnormal levels in the complete blood count tests
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning
Event Extraction for Portuguese: A QA-driven Approach using ACE-2005
A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
On Voting Strategies and Emergent Communication
From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
ACE: an Accurate and Cost-Effective Measurement System in SDN
PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
AutoS 2 earch: Unlocking the Reasoning Potential of Large Models for Web-based Source Search
Some Preliminary Result About the Inset Edge and Average Distance of Trees
Health Insurance Coverage Rule Interpretation Corpus: Law, Policy, and Medical Guidance for Health Insurance Coverage Understanding
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
Image processing of a spectrogram produced by Spectrometer Airglow Temperature Imager
Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer
Faster classical Boson Sampling
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
Scalable 28nm IC implementation of coupled oscillator network featuring tunable topology and complexity
Testability in group theory
Learning with Chemical versus Electrical Synapses - Does it Make a Difference?
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
Quantum Byzantine Agreement via Hardy correlations and entanglement swapping
Uniform preconditioners of linear complexity for problems of negative order
Density estimation in representation space to predict model uncertainty
Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives
Compressive Recovery of Sparse Precision Matrices
Strong equivalence for LP MLN programs
Efficient Joint Network-Source Coding for Multiple Terminals with Side Information
Matrix-free construction of HSS representation using adaptive randomized sampling
Being correct is not enough: efficient verification using robust linear temporal logic
Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset
APRIL: Auxiliary Physically-Redundant Information in Loss - A physics-informed framework for parameter estimation with a gravitational-wave case study
Lemmatization as a Classification Task: Results from Arabic across Multiple Genres
Classification of NEQR Processed Classical Images using Quantum Neural Networks (QNN)
Reversible G k -Codes with Applications to DNA Codes
An Adaptive Power Efficient Packet Scheduling Algorithm for Wimax Networks
Characterizing the impact of using features extracted from pre-trained models on the quality of video captioning sequence-to-sequence models
Quantum Ensemble for Classification
3D Pose Estimation from a Single Monocular Image
On the achievable improvement by the linear minimum mean square error detector
Evaluating Large Language Models in detecting Secrets in Android Apps
Better space-time-robustness trade-offs for set reconciliation
Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions
Evaluating Small Language Models for Agentic On-Farm Decision Support Systems
Ncpol2sdpa - Sparse Semidefinite Programming Relaxations for Polynomial Optimization Problems of Noncommuting Variables
Automated Detection of Salvin's Albatrosses: Improving Deep Learning Tools for Aerial Wildlife Surveys
Comparative Analysis of AWS Model Deployment Services
LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning
Selling Two Identical Objects
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
Computation and properties of the Epstein zeta function with high-performance implementation in EpsteinLib
ThingML+ Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning
Runtime Energy Monitoring for RISC-V Soft-Cores
Real root refinements for univariate polynomial equations
Synthetic End-User Testing: Modeling Realistic Agents Based on Behavioral Examples
Reconfigurable Distributed Antennas and Reflecting Surface (RDARS): A New Architecture for Wireless Communications
Team Westwood Solution for MIDOG 2025 Challenge
Multi-objective scheduling on two dedicated processors
Truly Visual Polymorphic Algebraic Data Structures through Maramafication
Boosting Convolutional Features for Robust Object Proposals
The Multi-shop Ski Rental Problem
A General-Purpose Multimodal Foundation Model for Dermatology
BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization
Unlearning Algorithmic Biases over Graphs
Image Restoration: A Comparative Analysis of Image De noising Using Different Spatial Filtering Techniques
EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling
Physics-informed Neural Network Predictive Control for Quadruped Locomotion
Optimal data structures for stochastic driven simulations
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction
Online Multi-Task Offloading for Semantic-Aware Edge Computing Systems
Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry
Estimating Causal Effects of Text Interventions Leveraging LLMs
On the Fundamental Limitations of Dual Static CVaR Decompositions in Markov Decision Processes
Active partitioning: inverting the paradigm of active learning
A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration
Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope
An Efficient Algorithm for Mining Multilevel Association Rule Based on Pincer Search
Improved sparse PCA method for face and image recognition
Cascade of Phase Transitions for Multi-Scale Clustering
Looking at Mean-Payoff through Foggy Windows
Fair Clustering for Diverse and Experienced Groups
The practice of qualitative parameterisation in the development of Bayesian networks
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit
Legal document retrieval across languages: topic hierarchies based on synsets
Data-driven balanced truncation for second-order systems via the approximate Gramians
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Descriptor State Space Modeling of Power Systems
A Power-Efficient Audio Acquisition System for Smart City Applications
HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
Optimal games in Room 25 solo and coop modes
Non-determinsitic algebraic rewriting as adjunction
Inter-language Collaboration in an Object-oriented Virtual Machine
Hydra: Structured Cross-Source Enhanced Large Language Model Reasoning
PMDS Array Codes With Small Sub-packetization, Small Repair Bandwidth/Rebuilding Access
GMTRouter: Personalized LLM Router over Multi-turn User Interactions
Utilizing Composer Packages to Accelerate Laravel-Based Project Development Among Students: A Pedagogical and Practical Framework
On Approximating Polynomial-Quadratic Regulator Problems
Modeling Time-Lapse Trajectories to Characterize Cranberry Growth
Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
Negotiating Comfort: Simulating Personality-Driven LLM Agents in Shared Residential Social Networks
From x*y=k to Uniswap Hooks; A Comparative Review of Decentralized Exchanges (DEX)
Uncertainty in Cyber Security Investments
UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
Enabling Quantum Speedup of Markov Chains using a Multi-level Approach
Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens
Permutation resemblance
Maven-Lockfile: High Integrity Rebuild of Past Java Releases
Multilevel Picard scheme for solving high-dimensional drift control problems with state constraints
Data-Driven Deployment of Reconfigurable Intelligent Surfaces in Cellular Networks
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility
Safety Verification of Parameterized Systems under Release-Acquire
MMMModal - Multi-Images Multi-Audio Multi-turn Multi-Modal
Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
High-Dimensional Change-Point Estimation: Combining Filtering with Convex Optimization
From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
Bodyless Block Propagation: TPS Fully Scalable Blockchain with Pre-Validation
Enabling Cardiac Monitoring using In-ear Ballistocardiogram on COTS Wireless Earbuds
The AAA framework for modeling linear dynamical systems with quadratic output
AI-Enabled Ultra-Low-Dose CT Reconstruction
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge
A mixed element scheme of Helmholtz transmission eigenvalue problem for anisotropic media
A preliminary study on evaluating Consultation Notes with Post-Editing
On the Differential Linear Connectivity Table of Vectorial Boolean Functions
Towards Open-Domain Named Entity Recognition via Neural Correction Models
Approximating optimal transport with linear programs
Information-theoretic machine learning for time-varying mode decomposition of separated airfoil wakes
Immiscible Color Flows in Optimal Transport Networks for Image Classification
Mesh Silksong: Auto-Regressive Mesh Generation as Weaving Silk
Scheduling.jl - Collaborative and Reproducible Scheduling Research with Julia
Multi-Spacecraft Predictive Sensor Tasking for Cislunar Space Situational Awareness
Foundation Model Makes Clustering a Better Initialization for Active Learning
Optimal Decision Making Through Scenario Simulations Using Large Language Models
Mixed Neural Network Approach for Temporal Sleep Stage Classification
On the Optimal Number of Cooperative Base Stations in Network MIMO
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation
The magnetic field from a homogeneously magnetized cylindrical tile
Semantic-Aware Depth Super-Resolution in Outdoor Scenes
Security Analysis of WiFi-based Sensing Systems: Threats from Perturbation Attacks
The Noncoherent Rician Fading Channel - Part II : Spectral Efficiency in the Low-Power Regime
Dynamic Toll Prediction Using Historical Data on Toll Roads: Case Study of the I-66 Inner Beltway
Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
Text-guided Fine-Grained Video Anomaly Detection
Privileged Self-Access Matters for Introspection in AI
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Predicting Electricity Outages Caused by Convective Storms
Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
Complexity Analysis of CSMA Scheduling via Dependencies Matrix
A Two-phase On-line Joint Scheduling of Pricing and Control for Welfare Maximization of Charging Station
Direct Data Domain STAP using Sparse Representation of Clutter Spectrum
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
ASIC-Agent: An Autonomous Multi-Agent System for ASIC Design with Benchmark Evaluation
Multi-Round Parsing-based Multiword Rules for Scientific OpenIE
A Survey of Link Prediction Algorithms
CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference
A Greedy algorithm for local heating
Counterfactual Scenarios for Automated Planning
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation
Towards a Feature mu-Calculus Targeting SPL Verification
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines
Ferroelectric FET-based strong physical unclonable function: a low-power, high-reliable and reconfigurable solution for Internet-of-Things security
CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment
Nonlinear Processing with Linear Optics
Polynomial kernels collapse the W-hierarchy
AdaptPNP: Integrating Prehensile and Non-Prehensile Skills for Adaptive Robotic Manipulation
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information
Inference under Information Constraints II: Communication Constraints and Shared Randomness
Security Evaluation of Pattern Classifiers under Attack
Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems
Objective Metrics for Human-Subjects Evaluation in Explainable Reinforcement Learning
The FACTS of Technology-Assisted Sensitivity Review
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought
Constructing a meta-learner for unsupervised anomaly detection
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
Parallel and Limited Data Voice Conversion Using Stochastic Variational Deep Kernel Learning
Leveraging Symmetries in Pick and Place
A dictionary learning add-on for spherical downward continuation
Machine Learned Resume-Job Matching Solution
Computing Maximum Entropy Distributions Everywhere
Improving spliced alignment for identification of ortholog groups and multiple CDS alignment
Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks
TanksWorld: A Multi-Agent Environment for AI Safety Research
Generating Handwritten Chinese Characters using CycleGAN
Counterfactual Generation Under Confounding
Roseau: Fast, Accurate, Source-based API Breaking Change Analysis in Java
What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems
Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences
Panprediction: Optimal Predictions for Any Downstream Task and Loss
Partial Variable Training for Efficient On-Device Federated Learning
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms
Finite element analysis of the Dirichlet boundary control problem governed by linear parabolic equation
Estimating the Distance Between Macro Base Station and Users in Heterogeneous Networks
Virtual Environments for Rehabilitation of Postural Control Dysfunction
Modulated Variational auto-Encoders for many-to-many musical timbre transfer
Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags
Advanced Symbolic Time Series Analysis in Cyber Physical Systems
Transmission Schemes for Four-Way Relaying in Wireless Cellular Systems
Density Ratio-Free Doubly Robust Proxy Causal Learning
Desk-AId: Humanitarian Aid Desk Assessment with Geospatial AI for Predicting Landmine Areas
ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models
Transceiver Design for Cooperative Non-Orthogonal Multiple Access Systems with Wireless Energy Transfer
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
Optimizing Cache Performance for Graph Analytics
Convergence of the number of period sets in strings
Une nouvelle approche de complétion des valeurs manquantes dans les bases de données
Corrector Sampling in Language Models
Quantum algorithm for Dyck Language with Multiple Types of Brackets
A new universal cellular automaton on the ternary heptagrid
NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions
How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies
"I Know It When I See It": Mood Spaces for Connecting and Expressing Visual Concepts
Two-Stage Distributed Energy Resources Scheduling via Chance-Constrained AC Optimal Power Flow: A Second-Order Cone Programming Approach
The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing
GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization
ESND: An Embedding-based Framework for Signed Network Dismantling
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
A Specialized Large Language Model for Clinical Reasoning and Diagnosis in Rare Diseases
Artificial Bee Colony-based Adaptive Position Control of Electrohydraulic Servo Systems with Parameter Uncertainty
Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
Self-Evolved Reward Learning for LLMs
Fountain Codes and Invertible Matrices
SurgTrack: CAD-Free 3D Tracking of Real-world Surgical Instruments
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks
Asymptotically Optimal Sampling-based Planners