yusuke1997/dblp-id-title huggingface dataset:
Using a Binary Classification Model to Predict the Likelihood of Enrolment to the Undergraduate Program of a Philippine University
SAM 3: Segment Anything with Concepts
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics
Asymptotic degree distributions in large homogeneous random networks: A little theory and a counterexample
Expressions for the entropy of binomial-type distributions
iLearnRobot: An Interactive Learning-Based Multi-Modal Robot with Continuous Improvement
MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs
RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
NeuRes: Learning Proofs of Propositional Satisfiability
A computable and continuous metric on isometry classes of high-dimensional periodic sequences
Open-Loop Distributed Beamforming Using Scalable High Accuracy Localization
Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation
Too Many or Too Few? Sampling Bounds for Topological Descriptors
Robust Coding for Lossy Computing with Receiver-Side Observation Costs
Radiance Field Delta Video Compression in Edge-Enabled Vehicular Metaverse
SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing
SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
All Maximal Independent Sets and Dynamic Dominance for Sparse Graphs
PELESent: Cross-domain polarity classification using distant supervision
A two-stage data association approach for 3D Multi-object Tracking
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks
A Mixed-Fractal Model for Network Traffic
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
Theoretical and Experimental Comparison of Off-Policy Evaluation from Dependent Samples
Beyond Linearity and Time-homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
Uncertainty with UAV Search of Multiple Goal-oriented Targets
SISA: Securing Images by Selective Alteration
Forecasting the future development in quality and value of professional football players for applications in team management
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
An adaptive finite element DtN method for the three-dimensional acoustic scattering problem
Multi-Antenna Relay Aided Wireless Physical Layer Security
Rounding random variables to finite precision
Simulating the Visual World with Artificial Intelligence: A Roadmap
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers
Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage
Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations
Learning Multiple Belief Propagation Fixed Points for Real Time Inference
Online Learning in Case of Unbounded Losses Using the Follow Perturbed Leader Algorithm
Convolutional STN for Weakly Supervised Object Localization and Beyond
Isolating Real-Time Safety-Critical Embedded Systems via SGX-based Lightweight Virtualization
Secure Beamforming in Full-Duplex SWIPT Systems
A Time-Triggered Dimension Reduction Algorithm for the Task Assignment Problem
From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent
Deep Learning to Predict Student Outcomes
Frequency- and Time-limited H2-optimal Model Order Reduction within Projection Framework
A Survey of the Overlooked Dangers of Template Engines
SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal
Functional connectomes of neural networks
Surrounding the solution of a Linear System of Equations from all sides
A Work-Efficient Parallel Algorithm for Longest Increasing Subsequence
In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM
Drawings of Non-planar Graphs with Crossing-free Subgraphs
A biologically plausible neural network for Slow Feature Analysis
Probabilistic Models for Agents' Beliefs and Decisions
An energy-stable parametric finite element method for simulating solid-state dewetting
Neural machine translation, corpus and frugality
The Computational Complexity of Almost Stable Clustering with Penalties
MapColorAI: Designing Contextually Relevant Choropleth Map Color Schemes Using a Large Language Model
Time-frequency Network for Robust Speaker Recognition
Incompatibility of Efficiency and Strategyproofness in the Random Assignment Setting with Indifferences
On balanced clustering with tree-like structures over clusters
A Mask-RCNN Baseline for Probabilistic Object Detection
On Abelian Closures of Infinite Non-binary Words
Shift and matching queries for video semantic segmentation
Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks
Novel Approach to Measure Motion-To-Photon and Mouth-To-Ear Latency in Distributed Virtual Reality Systems
Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data
A Fixed point view: A Model-Based Clustering Framework
TiD - Documentation of TOBI Interface D
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation
Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection
Unifying exact completions
You Only Pose Once: A Minimalist's Detection Transformer for Monocular RGB Category-level 9D Multi-Object Pose Estimation
Decades of Jurimetrics
Superstudent intelligence in thermodynamics
Face Aging Effect Simulation using Hidden Factor Analysis Joint Sparse Representation
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
Optimization-based Structural Pruning for Large Language Models without Back-Propagation
Style Decomposition for Improved Neural Style Transfer
Human Side of Smart Contract Fuzzing: An Empirical Study
Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour
Artificial-reference tracking MPC with probabilistically validated performance on industrial embedded systems
Phoneme-Based Proactive Anti-Eavesdropping with Controlled Recording Privilege
A Locking-Free P 0 Finite Element Method for Linear Elasticity Equations on Polytopal Partitions
Can ChatGPT implement finite element models for geotechnical engineering applications?
The Linear Attention Resurrection in Vision Transformer
Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs
An AD based library for Efficient Hessian and Hessian-Vector Product Computation on GPU
Linear Complexity of A Family of Binary pq 2 -periodic Sequences From Euler Quotients
Cache-Aided Interference Management with Subexponential Subpacketization
The Sounds of Music : Science of Musical Scales III - Indian Classical
Vector Autoregression (VAR) of Longitudinal Sleep and Self-report Mood Data
What a Difference a Tag Cloud Makes: Effects of Tasks and Cognitive Abilities on Search Results Interface Use
Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs
Illusion3D: 3D Multiview Illusion with 2D Diffusion Priors
Translating Federated Learning Algorithms in Python into CSP Processes Using ChatGPT
The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation
Pitfalls of Conversational LLMs on News Debiasing
Automatic Kernel Generation for Volta Tensor Cores
The Deep Kernelized Autoencoder
The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface
YOWO-Plus: An Incremental Improvement
Community detection based on structural balance in signed networks
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks
Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation
Privacy-preserving schemes for Ad Hoc Social Networks: A survey
BERT based patent novelty search by training claims to their own description
WavFT: Acoustic model finetuning with labelled and unlabelled data
The PUEVA Inventory: A Toolkit to Evaluate the Personality, Usability and Enjoyability of Voice Agents
String comparison by transposition networks
AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography
Mobility Improves the Convergence of Asynchronous Federated Learning
StarveSpam: Mitigating Spam with Local Reputation in Permissionless Blockchains
HDR - A Hysteresis-Driven Routing Algorithm for Energy Harvesting Tag Networks
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
Open Chemistry: RESTful Web APIs, JSON, NWChem and the Modern Web Application
Refactoring-Aware Patch Integration Across Structurally Divergent Java Forks
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information
Smart Deferral of Messages for Privacy Protection in Online Social Networks
UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models
Transversal non-Clifford gates on qLDPC codes breaking the √N distance barrier and quantum-inspired geometry with ℤ 2 systolic freedom
On the Equivalence of SDP Feasibility and a Convex Hull Relaxation for System of Quadratic Equations
Asymmetrically-powered Neural Image Compression with Shallow Decoders
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
Uncertainty Quantification on Clinical Trial Outcome Prediction
A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models
Scaling Properties of Diffusion Models for Perceptual Tasks
LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion
Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networks
QueryGym: A Toolkit for Reproducible LLM-Based Query Reformulation
Bounds for Batch Codes with Restricted Query Size
Gradient flows of interacting Laguerre cells as discrete porous media flows
OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing
A Framework for Contrastive and Generative Learning of Audio Representations
Material-based Non-neural Analogues of Lateral Inhibition: A Multi-agent Approach
Leveraging weights signals - Predicting and improving generalizability in reinforcement learning
User-click Modelling for Predicting Purchase Intent
Investigating Causality in Human Behavior from Smartphone Sensor Data: A Quasi-Experimental Approach
PlantBiMoE: A Bidirectional Foundation Model with SparseMoE for Plant Genomes
Semi-supervised voice conversion with amortized variational inference
Semantics-Aware Unified Terrestrial Non-Terrestrial 6G Networks
Community Detection in the Stochastic Block Model by Mixed Integer Programming
Spread of Tweets in Climate Discussions
Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
Robot Companions: Technology for Humans
Finite element error estimates for the nonlinear Schrödinger-Poisson model
On the Learnability of Deep Random Networks
Quantum Artificial Intelligence for Software Engineering: the Road Ahead
Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping
An Enhanced Analysis of Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function
Mobility to Campus - a Framework to Evaluate and Compare Different Mobility Modes
Shortcutting Cross-Validation: Efficiently Deriving Column-Wise Centered and Scaled Training Set X T X and X T Y Without Full Recomputation of Matrix Products or Statistical Moments
PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability
Simulating Online Social Media Conversations on Controversial Topics Using AI Agents Calibrated on Real-World Data
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning
Robust dynamic operating envelopes for flexibility operation using only local voltage measurement
Treating Point Cloud as Moving Camera Videos: A No-Reference Quality Assessment Metric
Skin Segmentation based Elastic Bunch Graph Matching for efficient multiple Face Recognition
Group Secret-Key Generation using Algebraic Rings in Three-User Wireless Networks
Instance-Level Relative Saliency Ranking with Graph Reasoning
An overview of research on human-centered design in the development of artificial general intelligence
Human Trust-based Feedback Control: Dynamically varying automation transparency to optimize human-machine interactions
Sampling on Metric Graphs
Numerical analysis of fluid estimation for source terms in neutral particles simulation
Integrating Physics-Informed Neural Networks into Power System Dynamic Simulations
Congruence Closure Modulo Permutation Equations
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation
ChartAB: A Benchmark for Chart Grounding & Dense Alignment
QComp: A QSAR-Based Data Completion Framework for Drug Discovery
Hardness of classically sampling one clean qubit model with constant total variation distance error
MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration
Revisiting Deep Image Smoothing and Intrinsic Image Decomposition
Uncover Common Facial Expressions in Terracotta Warriors: A Deep Learning Approach
Toward Open Earth Science as Fast and Accessible as Natural Language
Kawasaki dynamics beyond the uniqueness threshold
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts
'In-Between' Uncertainty in Bayesian Neural Networks
Agile Retrospectives: What went well? What didn't go well? What should we do?
Newly Developed Flexible Grid Trading Model Combined ANN and SSO algorithm
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF
On Flow Profile Image for Video Representation
SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
Optimal Krylov On Average
A Secure Infrastructure For System Console and Reset Access
An Incompressibility Theorem for Automatic Complexity
MAC: A Meta-Learning Approach for Feature Learning and Recombination
Connectivity Queries under Vertex Failures: Not Optimal, but Practical
Time-Critical Reasoning: Representations and Application
Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations
Scaling Crowdsourced Election Monitoring: Construction and Evaluation of Classification Models for Multilingual and Cross-Domain Classification Settings
Plug-in Electric Vehicle Charging Congestion Analysis Using Taxi Travel Data in the Central Area of Beijing
Valuing Evaluation: Methodologies to Bridge Research and Practice
A constrained recursion algorithm for batch normalization of tree-sturctured LSTM
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems
Optimal Damping with Hierarchical Adaptive Quadrature for Efficient Fourier Pricing of Multi-Asset Options in Lévy Models
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
Transfer Learning in Infinite Width Feature Learning Networks
Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models
New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model
Exact slice sampler for Hierarchical Dirichlet Processes
Probabilistic Modeling of Intentions in Socially Intelligent LLM Agents
A Simple Elementary Proof of P=NP based on the Relational Model of E. F. Codd
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
Conditional Born machine for Monte Carlo events generation
Toward a new mobile cloud forensic framework
PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
CARNet: Compression Artifact Reduction for Point Cloud Attribute
Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics
Fuzzy quantification for linguistic data analysis and data mining
Are metaheuristics worth it? A computational comparison between nature-inspired and deterministic techniques on black-box optimization problems
A New Approach to the Statistical Analysis of Non-Central Complex Gaussian Quadratic Forms with Applications
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Unsupervised Detection of Sub-events in Large Scale Disasters
The Pseudo-Dimension of Near-Optimal Auctions
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification
Approximating exponential family models (not single distributions) with a two-network architecture
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning
Approximating the Determinant of Well-Conditioned Matrices by Shallow Circuits
Dual Model Deep Learning for Alzheimer Prognostication
Crafting desirable climate trajectories with RL explored socio-environmental simulations
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning
Flattened Convolutional Neural Networks for Feedforward Acceleration
Function Aligned Regression: A Method Explicitly Learns Functional Derivatives from Data
Semantic Modeling of Analytic-based Relationships with Direct Qualification
BiFuzz: A Two-Stage Fuzzing Tool for Open-World Video Games
A Graphical Tool for Testing Timed Systems based on Meta- Modeling and Graph Grammars
Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version
Three Euler's Sieves and a Fast Prime Generator (Functional Pearl)
Active Inference and Intentional Behaviour
Modelling Energy Consumption based on Resource Utilization
Non-Invasive Fairness in Learning through the Lens of Data Drift
A Match in Time Saves Nine: Deterministic Online Matching With Delays
Adaptive Step-size Perception Unfolding Network with Non-local Hybrid Attention for Hyperspectral Image Reconstruction
Cryptanalysis of ITRU
Forecasting Smog Clouds With Deep Learning
X-haul Outage Compensation in 5G/6G Using Reconfigurable Intelligent Surfaces
Environmental Sound Classification Based on Multi-temporal Resolution CNN Network Combining with Multi-level Features
Table-R1: Inference-Time Scaling for Table Reasoning
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization
Broad Learning System with Takagi-Sugeno Fuzzy Subsystem for Tobacco Origin Identification based on Near Infrared Spectroscopy
Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy
Boosting Blockchain Throughput: Parallel EVM Execution with Asynchronous Storage for Reddio
Cyber Resilience in Next-Generation Networks: Threat Landscape, Theoretical Foundations, and Design Paradigms
Using Machine Learning for move sequence visualization and generation in climbing
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting
A statistical framework for analyzing shape in a time series of random geometric objects
Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques
Grid-Constrained Distributed Optimization for Frequency Control with Low-Voltage Flexibility
DiFuseR: A Distributed Sketch-based Influence Maximization Algorithm for GPUs
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks
Gauss-Seidel Method with Oblique Direction
A General Measure of Collision Hazard in Traffic
A Riemann-Hilbert approach to the perturbation theory for orthogonal polynomials: Applications to numerical linear algebra and random matrix theory
AutoPoly: Predicting a Polygonal Mesh Construction Sequence from a Silhouette Image
MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks
Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice
HalluVault: A Novel Logic Programming-aided Metamorphic Testing Framework for Detecting Fact-Conflicting Hallucinations in Large Language Models
DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent
Characterization of the Gittins index for sequential multistage jobs
Evaluation of team dynamic in Norwegian projects for IT students
Interpreting Context of Images using Scene Graphs
An Analysis of the Cloud Computing Security Problem
A model for dynamical evolution of science in space
The Data Fusion Labeler (dFL): Challenges and Solutions to Data Harmonization, Labeling, and Provenance in Fusion Energy
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation
Which models are innately best at uncertainty estimation?
Integrating Posture Control in Speech Motor Models: A Parallel-Structured Simulation Approach
Fully Dynamic Almost-Maximal Matching: Breaking the Polynomial Barrier for Worst-Case Time Bounds
Cell-average based neural network method for hyperbolic and parabolic partial differential equations
Scaling Analysis in a Multi-Energy System
Over-the-Air Transmission of Zak-OTFS with Spread Pilots on Sub-THz Communications Testbed
Automatic Defect Segmentation on Leather with Deep Learning
MixAR: Mixture Autoregressive Image Generation
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution
ConiQ: Enabling Concatenated Quantum Error Correction on Neutral Atom Arrays
Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data
SOPE: A Spatial Order Preserving Encryption Model for Multi-dimensional Data
Demonstrating Almost Linear Time Complexity of Bus Admittance Matrix-Based Distribution Network Power Flow: An Empirical Approach
Rotation Invariant Quantization for Model Compression
Multiequilibria analysis for a class of collective decision-making networked systems
On capacity of optical communications over a lossy bosonic channel with a receiver employing the most general coherent electro-optic feedback control
Efficient Stabilization of Hybrid Coulomb Spacecraft Formations using Control Lyapunov Functions
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation
Controllable Video Generation: A Survey
Efficient Progressive Image Compression with Variance-aware Masking
Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Words
A corpus of precise natural textual entailment problems
Crossover phenomenon in the performance of an Internet search engine
How Many Samples Required in Big Data Collection: A Differential Message Importance Measure
M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition
Enhancing Texture Generation with High-Fidelity Using Advanced Texture Priors