yusuke1997/dblp-id-title huggingface dataset:
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model
Earning Extra Performance from Restrictive Feedbacks
OVEL: Large Language Model as Memory Manager for Online Video Entity Linking
Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers
Optimized Network Architectures for Large Language Model Training with Billions of Parameters
A universal tradeoff between power, precision and speed in physical communication
Learning for Robot Decision Making under Distribution Shift: A Survey
Mutual Information Games in Multi-user Channels with Correlated Jamming
WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters
An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation
DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model
Automatic Evaluation of Generative Models with Instruction Tuning
Ensembling over Classifiers: a Bias-Variance Perspective
Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations
Talk to Your Slides: Language-Driven Agents for Efficient Slide Editing
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities
Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example
Pricing Multi-Interval Dispatch under Uncertainty Part I: Dispatch-Following Incentives
Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation
Physics-constrained Random Forests for Turbulence Model Uncertainty Estimation
All-Pairs Shortest Paths in O(n 2 ) time with high probability
De-anonymization of Social Networks with Communities: When Quantifications Meet Algorithms
Justice in Healthcare Artificial Intelligence in Africa
Application of the Cyberinfrastructure Production Function Model to R1 Institutions
A Level Set Approach to Online Sensing and Trajectory Optimization with Time Delays
MEGA-PT: A Meta-Game Framework for Agile Penetration Testing
Neural Polytopes
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
A Drop of Ink Makes a Million Think: The Spread of False Information in Large Language Models
On the quality of emergence in complex collective systems
Applications of Intelligent Systems in Green Technology
Global Convergence of Continual Learning on Non-IID Data
Sigma: Semantically Informative Pre-training for Skeleton-based Sign Language Understanding
Near-Term Advances in Quantum Natural Language Processing
Spatial Concept-based Topometric Semantic Mapping for Hierarchical Path-planning from Speech Instructions
A New Method to Compute the 2-adic Complexity of Binary Sequences
USAD: Universal Speech and Audio Representation via Distillation
HOPF: Higher Order Propagation Framework for Deep Collective Classification
KH-FUNSD: A Hierarchical and Fine-Grained Layout Analysis Dataset for Low-Resource Khmer Business Document
Optimum Diversity-Multiplexing Tradeoff in the Multiple Relays Network
XGBoost energy consumption prediction based on multi-system data HVAC
Quasi-Large Sparse-Sequence CDMA: Approach to Single-User Bound by Linearly-Complex LAS Detectors
Spatial Tactile Brain-Computer Interface Paradigm Applying Vibration Stimuli to Large Areas of User's Back
CAIRNS: Balancing Readability and Scientific Accuracy in Climate Adaptation Question Answering
A construction of canonical nonconforming finite element spaces for elliptic equations of any order in any dimension
Explaining the effects of non-convergent sampling in the training of Energy-Based Models
LCNN: Low-level Feature Embedded CNN for Salient Object Detection
DEDEM: Discontinuity Embedded Deep Energy Method for solving fracture mechanics problems
Lifting GIS Maps into Strong Geometric Context
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
Realizing Implicit Computational Complexity
Polylogarithmic Supports are required for Approximate Well-Supported Nash Equilibria below 2/3
An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics
Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments
New Results on Online Resource Minimization
A Tandem Framework Balancing Privacy and Security for Voice User Interfaces
MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis
Hessian informed mirror descent
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion
Algorithms for Massive Data - Lecture Notes
Forensic Investigation of P2P Cloud Storage: BitTorrent Sync as a Case Study
On the conditioning of histopolation
Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models
Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines
Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network
GPZ: GPU-Accelerated Lossy Compressor for Particle Data
Prediction of Tuberculosis using U-Net and segmentation techniques
Conditional Semi-Supervised Data Augmentation for Spam Message Detection with Low Resource Data
Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
Learning Survival Models with Right-Censored Reporting Delays
IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories
Active Learning for Neurosymbolic Program Synthesis
Repairable Block Failure Resilient Codes
Implementation of a Fuzzy Relational Database. Case Study: Chilean Cardboard Industry in the Maule Region
Agreement Tracking for Multi-Issue Negotiation Dialogues
Popularity of patterns over d-equivalence classes of words and permutations
Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models
Neural network models and deep learning - a primer for biologists
SViM3D: Stable Video Material Diffusion for Single Image 3D Generation
Population Activity Recovery: Milestones Unfolding, Temporal Interdependencies, and Relationship with Physical and Social Vulnerability
A Branch-and-Price Approach to a Variant of the Cognitive Radio Resource Allocation Problem
Movie Facts and Fibs (MF 2 ): A Benchmark for Long Movie Understanding
On the nonlinear stochastic dynamics of a continuous system with discrete attached elements
Online Optimization with Barzilai-Borwein Quasi-Newton Method
Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks
Leveraging State Space Models in Long Range Genomics
Protecting Africa's Future: Cybersecurity Strategies for Child Safety, Learning, and Skill Acquisition in Tanzania
Stability Studies for Photovoltaic Integration using Power Hardware-in-the-Loop Experiments
ZipPhone: Protecting user location privacy from cellular service providers
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
Optimizing Dense Feed-Forward Neural Networks
Experimental Study on the Imitation of the Human Head-and-Eye Pose Using the 3-DOF Agile Eye Parallel Robot with ROS and Mediapipe Framework
EfQAT: An Efficient Framework for Quantization-Aware Training
BabyLM's First Constructions: Causal interventions provide a signal of learning
A Discussion on Influence of Newspaper Headlines on Social Media
Optimal Strategy Revision in Population Games: A Mean Field Game Theory Perspective
KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Training
HDBMS: A Context-Aware Hybrid Graph Traversal Algorithm for Efficient Information Discovery in Social Networks
Unpacking Blockchains
Scheduling Power-Intensive Operations of Battery Energy Storage Systems and Application to Hybrid Hydropower Plants
Improving the performance of reputation evaluating by combining the structure of network and nonlinear recovery
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation
Peer-to-Peer Secure Multi-Party Numerical Computation Facing Malicious Adversaries
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Finding the Loops that Matter
RBAC for Healthcare-Infrastructure and data storage
Taxim: An Example-based Simulation Model for GelSight Tactile Sensors
HotStuff-2 vs. HotStuff: The Difference and Advantage
CPU-Based Layout Design for Picker-to-Parts Pallet Warehouses
HeaRT: Health Record Timeliner to visualise patients' medical history from health record text
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery
An Ontology Construction Approach for the Domain Of Poultry Science Using Protege
Dense Supervision for Visual Comparisons via Synthetic Images
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity
Theory reconstruction: a representation learning view on predicate invention
RGS-DR: Reflective Gaussian Surfels with Deferred Rendering for Shiny Objects
Subclassing errors, OOP, and practically checkable rules to prevent them
Hierarchical Behavioral Repertoires with Unsupervised Descriptors
Proceedings of the 6th Annual Workshop of the ERCIM Working Group on Constraints
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs
Transportation Modes Classification Using Feature Engineering
Behavioral Model Inference of Black-box Software using Deep Neural Networks
"It's Not Something We Have Talked to Our Team About": Results From a Preliminary Investigation of Cybersecurity Challenges in Denmark
On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Low-Dimensional Submanifolds of R N
Sluggish and Chemically-Biased Interstitial Diffusion in Concentrated Solid Solution Alloys: Mechanisms and Methods
Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
Adversarial defense based on distribution transfer
You say Normalizing Flows I see Bayesian Networks
Regularized ZF in Cooperative Broadcast Channels under Distributed CSIT: A Large System Analysis
Modified Parametric Multichannel Wiener Filter \\for Low-latency Enhancement of Speech Mixtures with Unknown Number of Speakers
Learning to Plan Chemical Syntheses
MIMO-OFDM-Based Massive Connectivity With Frequency Selectivity Compensation
Real-time Multi-Plane Segmentation Based on GPU Accelerated High-Resolution 3D Voxel Mapping for Legged Robot Locomotion
Will we ever have Conscious Machines?
Estimación de áreas de cultivo mediante Deep Learning y programación convencional
Predicting Case Suffixes With Activity Start and End Times: A Sweep-Line Based Approach
ℋ 2 -optimal Model Reduction of Linear Quadratic Output Systems in Finite Frequency Range
A Diffusion model for POI recommendation
A Unified Implicit Dialog Framework for Conversational Search
MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks
Bandit algorithms for real-time data capture on large social medias
Quantum Algorithm for the Longest Trail Problem
Mutual Transformation of Information and Knowledge
Scaling up the Evaluation of Collaborative Problem Solving: Promises and Challenges of Coding Chat Data with ChatGPT
Robix: A Unified Model for Robot Interaction, Reasoning and Planning
Simopt-Power: Leveraging Simulation Metadata for Low-Power Design Synthesis
The robust recoverable spanning tree problem with interval costs is polynomially solvable
EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction
Lifelong Domain Adaptive 3D Human Pose Estimation
ParroT: Translating During Chat Using Large Language Models
HybridSVD: When Collaborative Information is Not Enough
Privacy Guarantees for De-identifying Text Transformations
Using Machine Learning to Predict the Evolution of Physics Research
Counterfactual Multi-Token Fairness in Text Classification
Efficient Dynamic MaxFlow Computation on GPUs
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry
Structure-preserving scheme for 1D KWC system
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy
VLN-MME: Diagnosing MLLMs as Language-guided Visual Navigation agents
Supersaliency: Predicting Smooth Pursuit-Based Attention with Slicing CNNs Improves Fixation Prediction for Naturalistic Videos
Model Predictive Control for Smart Grids with Multiple Electric-Vehicle Charging Stations
Stock trend prediction using news sentiment analysis
Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems
All-to-all Broadcast for Vehicular Networks Based on Coded Slotted ALOHA
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
PubSub implementation in Haskell with formal verification in Coq
Interpretable Machine Learning Model for Early Prediction of Acute Kidney Injury in Critically Ill Patients with Cirrhosis: A Retrospective Study
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation
VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning
Back to the past: on the shoulders of an academic search engine giant
TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts
Population and Inequality Dynamics in Simple Economies
On the Sum Capacity of the Discrete Memoryless Interference Channel with One-Sided Weak Interference and Mixed Interference
Quantum Normalizing Flows for Anomaly Detection
MakeupBag: Disentangling Makeup Extraction and Application
Comprehensive Assessment of COVID-19 Impact on Saskatchewan Power System Operations
Predicative Ordinal Recursion on the Constructive Veblen Hierarchy
Efficient computational homogenization via tensor train format
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements
NLP based grievance redressal system for Indian Railways
Creation and Evaluation of Software Teams - A Social Approach
When Less Is More: Binary Feedback Can Outperform Ordinal Comparisons in Ranking Recovery
Etude de la Distribution de Calculs Creux sur une Grappe Multi-coeurs
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
Progressive Scale-aware Network for Remote sensing Image Change Captioning
FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs
How Ethical Should AI Be? How AI Alignment Shapes the Risk Preferences of LLMs
Plasma State Monitoring and Disruption Characterization using Multimodal VAEs
Key Focus Areas and Enabling Technologies for 6G
Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems
Measuring economic activity from space: a case study using flying airplanes and COVID-19
Action Recognition Using Supervised Spiking Neural Networks
Improving Generalization via Uncertainty Driven Perturbations
Criminal Fishing System Based on Wireless Local Area Network Access Points - Can Media Access Control address assist criminal investigation?
Human Creativity and AI
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Case For Static AMSDU Aggregation in WLANs
Riiid! Answer Correctness Prediction Kaggle Challenge: 4th Place Solution Summary
Analysis of a discretization of a distributed control problem with a stochastic evolution equation
Text-driven Affordance Learning from Egocentric Vision
Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis
Safe Control for Nonlinear Systems under Faults and Attacks via Control Barrier Functions
Learning Network Structures from Contagion
A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net
Very Large-scale Multi-Robot Task Allocation in Challenging Environments via Robot Redistribution
Reversed Indexes ≈ Values in Wavelet Trees
Comparing interpretability and explainability for feature selection
Designing Stable Elections: A Survey
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection
Block-to-Block Distribution Matching
Tight Lower Bounds for Weighted Matroid Problems
Privacy of Existence of Secrets: Introducing Steganographic DCOPs and Revisiting DCOP Frameworks
Parameterized Neural Networks for Finance
Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections
Distributed Online Learning Algorithm With Differential Privacy Strategy for Convex Nondecomposable Global Objectives
The Bottom-Up Position Tree Automaton, the Father Automaton and their Compact Versions
Motion Exploration of Articulated Product Concepts in Interactive Sketching Environment
Proceedings Graphs as Models, GaM@ETAPS 2015, London, UK, 11-12 April 2015
KRAFT : Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
tinySLAM-based exploration with a swarm of nano-UAVs
SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
Quantum bandit with amplitude amplification exploration in an adversarial environment
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
Enriched Galerkin Method for Navier-Stokes Equations
EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting
AI-Hybrid TRNG: Kernel-Based Deep Learning for Near-Uniform Entropy Harvesting from Physical Noise
User Association in User-Centric Hybrid VLC/RF Cell-Free Massive MIMO Systems
Control Search Rankings, Control the World: What is a Good Search Engine?
WeBrowse: Mining HTTP logs online for network-based content recommendation
Scaling Laws for Infrastructure Single and Multihop Wireless Networks in Wideband Regimes
Borrowing strength in hierarchical Bayes: convergence of the Dirichlet base measure
Discrete weak duality of hybrid high-order methods for convex minimization problems
Enhanced Cascade Prostate Cancer Classifier in mp-MRI Utilizing Recall Feedback Adaptive Loss and Prior Knowledge-Based Feature Extraction
FASHION: Fault-Aware Self-Healing Intelligent On-chip Network
Un meta-modele pour l'automatisation du deploiement d'applications logicielles
Rightsstatements.org White Paper: Requirements for the Technical Infrastructure for Standardized International Rights Statements
Black-box Adversarial Sample Generation Based on Differential Evolution
DRO-REBEL: Distributionally Robust Relative-Reward Regression for Fast and Efficient LLM Alignment
SoK: Cross-border Criminal Investigations and Digital Evidence
eTraM: Event-based Traffic Monitoring Dataset
Methods to Assess the UK Government's Current Role as a Data Provider for AI
Exponentially Stabilizing Continuous-Time Controllers for multi-domain hybrid systems with application to 3D bipdeal walking
Which Factors Drive Open Access Publishing? A Springer Nature Case Study
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality
Kisa Donem Uzam-Zamansal Trafik Tahmini
A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition
Explicit Residual-Based Scalable Image Coding for Humans and Machines
VIKING: Deep variational inference with stochastic projections
Progressive Perception-Oriented Network for Single Image Super-Resolution
Revela: Dense Retriever Learning via Language Modeling
DDFI: Diverse and Distribution-aware Missing Feature Imputation via Two-step Reconstruction
The Economics of Social Data
Towards Accurate Markerless Human Shape and Pose Estimation over Time
A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation
SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction
Beating the Gilbert-Varshamov Bound for Online Channels
A self-adaptive genetic algorithm for the flying sidekick travelling salesman problem
Decorrelation-based Self-Supervised Visual Representation Learning for Writer Identification
Community Detection in the Network of German Princes in 1225: a Case Study
Computerized Assessment of Motor Imitation for Distinguishing Autism in Video (CAMI-2DNet)
Towards A Universal Graph Structural Encoder
Optimal Resource Allocation in Distributed Broadband Wireless Communication Systems
AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks
In search of the Giant Convex Quadrilateral hidden in the Mountains
VCE: Variational Convertor-Encoder for One-Shot Generalization
A Flexible FPGA-Based ISA Configurable SoC platform
Two Optimizers Are Better Than One: LLM Catalyst for Enhancing Gradient-Based Optimization
HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Using deep learning to reveal the neural code for images in primary visual cortex
On the Classification of Binary Self-Dual Codes
Learning Attitudes and Attributes from Multi-Aspect Reviews
A Classification of BPMN Collaborations based on Safeness and Soundness Notions
Generative Reasoning Recommendation via LLMs
A high-order unfitted finite element method for moving interface problems
On the Estimation of Image-matching Uncertainty in Visual Place Recognition
Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
Conjugate operators for transparent, explorable research outputs
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Axiomatizing rectangular grids with no extra non-unary relations
Preliminary Prototyping of Avoidance Behaviors Triggered by a User's Physical Approach to a Robot
End-to-End Outage Minimization in OFDM Based Linear Relay Networks
A comprehensive dynamic growth and development model of Hermetia illucens larvae
Does Audio Matter for Modern Video-LLMs and Their Benchmarks?
From Real-World Traffic Data to Relevant Critical Scenarios
Quantum-Resistant Authentication Scheme for RFID Systems Using Lattice-Based Cryptography
A Grover-Based Quantum Algorithm for Solving Perfect Mazes via Fitness-Guided Search
Network constraints on the mixing patterns of binary node metadata
Removing Speaker Information from Speech Representation using Variable-Length Soft Pooling
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes
A comprehensive study of boundary conditions when solving PDEs by DNNs