yusuke1997/dblp-id-title huggingface dataset:
A simpler and more efficient algorithm for the next-to-shortest path problem
Simple algorithm for GCD of polynomials
Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving
Machine learning for knowledge acquisition and accelerated inverse-design for non-Hermitian systems
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
OsmLocator: locating overlapping scatter marks with a non-training generative perspective
Survivable Routing in IP-over-WDM Networks in the Presence of Multiple Failures
One more proof of the first linear programming bound for binary codes and two conjectures
EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition
Our Cars Can Talk: How IoT Brings AI to Vehicles
Pressure Fluctuations in Natural Gas Networks caused by Gas-Electric Coupling
OciorCOOL: Faster Byzantine Agreement and Reliable Broadcast
Dimensionality Reduction of Affine Variational Inequalities Using Random Projections
Do Energy-oriented Changes Hinder Maintainability?
QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media
NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker
Asymptotic Consistency of Loss-Calibrated Variational Bayes
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach
A Minimal Formulation of Session Types
Optimal merging from an on-ramp into a high-speed lane dedicated to connected autonomous vehicles
CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization
DSLib: An open source library for the dominant set clustering method
Safe Trajectory Sets for Online Operation of Power Systems under Uncertainty
Adaptive BEM for elliptic PDE systems, Part I: Abstract framework for weakly-singular integral equations
CSCNET: Class-Specified Cascaded Network for Compositional Zero-Shot Learning
Bringing Algebraic Hierarchical Decompositions to Concatenative Functional Languages
Circle Formation of Weak Robots and Lyndon Words
TAPsolver: A Python package for the simulation and analysis of TAP reactor experiments
Covert Communication for Untrusted UAV-Assisted Wireless Systems
Quantum Large Language Models via Tensor Network Disentanglers
DiffEGG: Diffusion-Driven Edge Generation as a Pixel-Annotation-Free Alternative for Instance Annotation
On the Role of Feedback in LT Codes
VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
CASA: Cross-Attention via Self-Attention for Efficient Vision-Language Fusion
Uncertainty Estimation for Super-Resolution using ESRGAN
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes
Harnessing Natural Fluctuations: Analogue Computer for Efficient Socially Maximal Decision Making
Understanding and Detecting Dangerous Speech in Social Media
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
Double Momentum SGD for Federated Learning
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
Charlotte: Composable Authenticated Distributed Data Structures, Technical Report
Multi-agent Auto-Bidding with Latent Graph Diffusion Models
The Power of Personality: A Human Simulation Perspective to Investigate Large Language Model Agents
ANNIE: Be Careful of Your Robots
Toward better feature weighting algorithms: a focus on Relief
Adrenaline: Adaptive Rendering Optimization System for Scalable Cloud Gaming
Geometric deep learning on graphs and manifolds using mixture model CNNs
An Efficient Model Inference Algorithm for Learning-based Testing of Reactive Systems
Regret Minimization in Partially Observable Linear Quadratic Control
Cops and Robbers, Clique Covers, and Induced Cycles
Entanglement-assisted Quantum Codes from Algebraic Geometry Codes
Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques
Theoretical Limits of Backscatter Communications
Soccer Field Localization from a Single Image
Additive Schwarz solvers and preconditioners for the closest point method
Conversational AI increases political knowledge as effectively as self-directed internet search
Calibrated Decision-Making through LLM-Assisted Retrieval
D 2 -City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Evaluating Heuristics for Iterative Impact Analysis
Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments
System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications
Diffusion Fingerprints
Identity-related Speech Suppression in Generative AI Content Moderation
Age-optimal Service and Decision Scheduling in Internet of Things
Flame Stability Analysis of Flame Spray Pyrolysis by Artificial Intelligence
On the regularity of ⌊log b (αn+β)⌋ n≥0
Impact of Online Activities on Influence Maximization: A Random Walk Approach
A Quadtree for Hyperbolic Space
Efficient Timestamps for Capturing Causality
"Beware of deception": Detecting Half-Truth and Debunking it through Controlled Claim Editing
Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception
Asynchronous Adaptation and Learning over Networks - Part I: Modeling and Stability Analysis
Bayesian Learning for Neural Networks: an algorithmic survey
You Only Need One Detector: Unified Object Detector for Different Modalities based on Vision Transformers
se-Shweshwe Inspired Fashion Generation
Under Water Waste Cleaning by Mobile Edge Computing and Intelligent Image Processing Based Robotic Fish
Monaural speech enhancement on drone via Adapter based transfer learning
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Hardness of computing and approximating predicates and functions with leaderless population protocols
On Decidability of 2-process Affine Models
Differentially Private Algorithms for Empirical Machine Learning
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters
Building spatial world models from sparse transitional episodic memories
Generalized Bayesian deep reinforcement learning
HMD Vision-based Teleoperating UGV and UAV for Hostile Environment using Deep Learning
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality
Provably Efficient Representation Learning in Low-rank Markov Decision Processes
Regularized Robustly Reliable Learners and Instance Targeted Attacks
Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders
Be Water, My Antennas: Riding on Radio Wave Fluctuation in Nature for Spatial Multiplexing using Programmable Meta-Fluid Antenna
Low-complexity deep learning frameworks for acoustic scene classification
Controllable Image Colorization with Instance-aware Texts and Masks
Learning uncertainty in regression tasks by deep neural networks
Profiling minisat based on user defined execution time - GPROF
Deciding Predicate Logical Theories of Real-Valued Functions
Technical Report: Cooperative Multi-Target Localization With Noisy Sensors
Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
Edge, Fog, and Cloud Computing : An Overview on Challenges and Applications
CARES: Collaborative Agentic Reasoning for Error Detection in Surgery
What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond
AI-Based Feedback in Counselling Competence Training of Prospective Teachers
Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction
Per-Pixel Feedback for improving Semantic Segmentation
SLUGBOT, an Aplysia-inspired Robotic Grasper for Studying Control
Massively-concurrent Agent-based Evolutionary Computing
Reimplementing the Wheel: Teaching Compilers with a Small Self-Contained One
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction
Order-Degree Curves for Hypergeometric Creative Telescoping
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
Example-based Explanations for Random Forests using Machine Unlearning
Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning
Grid-Aware Flexibility Operation of Behind-the-Meter Assets: A review of Objectives and Constraints
Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
Removing Propagation Redundant Constraints in Redundant Modeling
Domain generalization Person Re-identification on Attention-aware multi-operation strategery
Byzantine-Tolerant Register in a System with Continuous Churn
Extremum Seeking Control with an Adaptive Gain Based On Gradient Estimation Error
Tensor Approximation of Advanced Metrics for Sensitivity Analysis
MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas
StyleShot: A Snapshot on Any Style
Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems
HDRSDR-VQA: A Subjective Video Quality Dataset for HDR and SDR Comparative Evaluation
A tool for stability and power sharing analysis of a generalized class of droop controllers for high-voltage direct-current transmission systems
Evaluation of Multi-task Uncertainties in Joint Semantic Segmentation and Monocular Depth Estimation
LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection
Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN)
On the Self Shuffle Language
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems
Optimal convergence rates for the finite element approximation of the Sobolev constant
Implementing Continuation based language in GCC
Generation and analysis of lamplighter programs
Hyperspectral Image Denoising with Partially Orthogonal Matrix Vector Tensor Factorization
Multi-task learning of daily work and study round-trips from survey data
Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation
A Community-Enhanced Graph Representation Model for Link Prediction
Synthesis-based Robust Low Resolution Face Recognition
Ariel-ML: Computing Parallelization with Embedded Rust for Neural Networks on Heterogeneous Multi-core Microcontrollers
Biometrics: Trust, but Verify
Graph Embedding for Citation Recommendation
Decoupled Visual Interpretation and Linguistic Reasoning for Math Problem Solving
MSCR: Exploring the Vulnerability of LLMs' Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement
Peeking Behind the Curtains of Residual Learning
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities
Sharp Error-Rate Transitions in Quantum QC-LDPC Codes under Joint BP Decoding
Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
Adaptation and learning over networks for nonlinear system modeling
Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots
Design Of A Reconfigurable DSP Processor With Bit Efficient Residue Number System
Heat Sink Performance Analysis through Numerical Technique
A Probabilistic Model for Data Redundancy in the Feature Domain
DEFORM: A Practical, Universal Deep Beamforming System
Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks
Transformers vs. Recurrent Models for Estimating Forest Gross Primary Production
I Can't Believe It's Not Better: In-air Movement For Alzheimer Handwriting Synthetic Generation
Minimax Distribution Estimation in Wasserstein Distance
A Weakly Initial Algebra for Higher-Order Abstract Syntax in Cedille
Affective Facial Expression Processing via Simulation: A Probabilistic Model
Aeolus: A Multi-structural Flight Delay Dataset
Controlling Rayleigh-Bénard convection via Reinforcement Learning
Iranian cashes recognition using mobile
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
Semi-Supervised Learning with Online Knowledge Distillation for Skin Lesion Classification
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
CompoST: A Benchmark for Analyzing the Ability of LLMs To Compositionally Interpret Questions in a QALD Setting
JPEG Processing Neural Operator for Backward-Compatible Coding
DiagramEval: Evaluating LLM-Generated Diagrams via Graphs
Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
The Career Interests of Large Language Models
Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models
Effective Cost Mechanism for Cloudlet Retransmission and Prioritized VM Scheduling Mechanism over Broker Virtual Machine Communication Framework
Steering Language Models with Weight Arithmetic
Alternating Product Ciphers: A Case for Provable Security Comparisons (extended abstract)
Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version)
An Open and Reproducible Deep Research Agent for Long-Form Question Answering
Learning to Calibrate for Reliable Visual Fire Detection
Finite Element Method Based Modeling of Cardiac Deformation Estimation under Abnormal Ventricular Muscle Conditions
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach
The belief noisy-or model applied to network reliability analysis
Correcting phenomenological quantum noise via belief propagation
Utilizing the RAIN method and Graph SAGE Model to Identify Effective Drug Combinations for Gastric Neoplasm Treatment
An Introduction to Sliced Optimal Transport
Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Ugly
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
SIMD-vectorized implicit symplectic integrators can outperform explicit ones
Discussion of Three Examples to Recent Results of Finite- and Fixed-Time Convergent Algorithms
No quantum speedup over gradient descent for non-smooth convex optimization
PDE-Agent: A toolchain-augmented multi-agent framework for PDE solving
HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots
Collaborative Estimation of Real Valued Function by Two Agents and a Fusion Center with Knowledge Exchange
Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images
Good cyclic codes and the uncertainty principle
Corpus-compressed Streaming and the Spotify Problem
Development of Massively Parallel Near Peak Performance Solvers for Three-Dimensional Geodynamic Modelling
A Tutorial on AI-Enabled Non-Terrestrial Networks in 6G
On the Complexity of Minimizing Energy Consumption of Partitioning DAG Tasks
Stop treating 'AGI' as the north-star goal of AI research
Exploring Attention Map Reuse for Efficient Transformer Neural Networks
Transfer learning for music classification and regression tasks
Dynamic Kernel Matching for Non-conforming Data: A Case Study of T-cell Receptor Datasets
Can We Predict the Unpredictable? Leveraging DisasterNet-LLM for Multimodal Disaster Classification
Visual Exploration of Stopword Probabilities in Topic Models
Information Extraction: An application to the domain of hyper-local financial data on developing countries
Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction
Identifying effective multiple spreaders by coloring complex networks
Efficient representation and manipulation of quadratic surfaces using Geometric Algebras
Uniform semiclassical observable error bound of Trotterization without the Egorov theorem: a simple algebraic proof
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Assigning Medical Codes at the Encounter Level by Paying Attention to Documents
Connectivity threshold for Bluetooth graphs
GIFT: Generated Indoor video frames for Texture-less point tracking
Analysis of Sparse Representations Using Bi-Orthogonal Dictionaries
Benchmarking Web-testing - Selenium versus Watir and the Choice of Programming Language and Browser
The Role of Artificial Intelligence (AI) in Adaptive eLearning System (AES) Content Formation: Risks and Opportunities involved
Temporal Density Extrapolation using a Dynamic Basis Approach
Moment-enhanced shallow water equations for non-slip boundary conditions
Learning Natural Coding Conventions
Winning the Ransomware Lottery: A Game-Theoretic Model for Mitigating Ransomware Attacks
Augmenty: A Python Library for Structured Text Augmentation
Optimal DG allocation and sizing in power system networks using swarm-based algorithms
The First Mathematical Proof That Crossover Gives Super-Constant Performance Gains For the NSGA-II
Electric Vehicle Integration using Large-Scale Combined Transmission and Distribution Grid Models
Deciding 4-colorability of planar triangulations
Optimal Evacuation Flows on Dynamic Paths with General Edge Capacities
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Integrating Causal Reasoning into Automated Fact-Checking
Generalized Anthropomorphic Functional Grasping with Minimal Demonstrations
TierDrop: Harnessing Airdrop Farmers for User Growth
Rate-compatible LDPC Codes based on Primitive Polynomials and Golomb Rulers
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Polynomial Kernels for Tracking Shortest Paths
Courcelle's Theorem Made Dynamic
OpenSEA: Semi-Formal Methods for Soft Error Analysis
Convergence of a finite-volume scheme for a degenerate-singular cross-diffusion system for biofilms
Bridging Utility Maximization and Regret Minimization
Power Divider
Beyond XAI: Obstacles Towards Responsible AI
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks
Laser tracker adaptive tuning
Infusing clinical knowledge into tokenisers for language models
Towards Enhanced Classification of Abnormal Lung sound in Multi-breath: A Light Weight Multi-label and Multi-head Attention Classification Method
A Universal Approximation Result for Difference of log-sum-exp Neural Networks
CephGPT-4: An Interactive Multimodal Cephalometric Measurement and Diagnostic System with Visual Large Language Model
SAFER: Probing Safety in Reward Models with Sparse Autoencoder
Using AI/ML to gain situational understanding from passive network observations
Extracting Information from Multiplex Networks
Monte Carlo neutron transport using low power mobile GPU devices
xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera
Deep Reinforcement Learning Control for Disturbance Rejection in a Nonlinear Dynamic System with Parametric Uncertainty
99% of Parallel Optimization is Inevitably a Waste of Time
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales
Expressivity in TTS from Semantics and Pragmatics
Off-Road Navigation of Legged Robots Using Linear Transfer Operators
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy
Automation is no barrier to light vehicle electrification
RPA: Probabilistic analysis of probe performance and robust summarization
Towards Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks
Length-Aware Rotary Position Embedding for Text-Speech Alignment
Inductive-data-type Systems
Structural Indexing for Conjunctive Path Queries
kōan: A Corrected CBOW Implementation
Data sharing games
Quantum Boosting using Domain-Partitioning Hypotheses
ChronusOmni: Improving Time Awareness of Omni Large Language Models
An adaptive music generation architecture for games based on the deep learning Transformer mode
BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala
Development and analysis of a secured VoIP system for surveillance activities
DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets
Auto-Paízo Games: Towards Understanding the Design of Games that Aim to Unify a Player's Physical Body and the Virtual World
Finding the Leftmost Critical Factorization on Unordered Alphabet
Heuristic Framework for Multi-Scale Testing of the Multi-Manifold Hypothesis
Target Population Synthesis using CT-GAN
"It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings
Exploring Challenges in Deep Learning of Single-Station Ground Motion Records
Acoustic Hologram Optimisation Using Automatic Differentiation
Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits
CyNER: A Python Library for Cybersecurity Named Entity Recognition
ikd-Tree: An Incremental K-D Tree for Robotic Applications
Optimal Self-Consistency for Efficient Reasoning with Large Language Models
Diffusion Structures for Architectural Stripe Pattern Generation
Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression
Differentially Private Data Structures under Continual Observation for Histograms and Related Queries
'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
Learning Stylized Character Expressions from Humans
NeRC: Neural Ranging Correction through Differentiable Moving Horizon Location Estimation
On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations
A Conceptually Well-Founded Characterization of Iterated Admissibility Using an "All I Know" Operator
The Geodesic 2-center Problem in a Simple Polygon
Expected exponential loss for gaze-based video and volume ground truth annotation
Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework
Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example
The Tiny-Tasks Granularity Trade-Off: Balancing overhead vs. performance in parallel systems
Adaptive Bayesian Single-Shot Quantum Sensing
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection
An Elementary Proof of Convex Phase Retrieval in the Natural Parameter Space via the Linear Program PhaseMax