yusuke1997/dblp-id-title huggingface dataset:
A Reference Architecture for Autonomous Networks: An Agent-Based Approach
On Column-restricted and Priority Covering Integer Programs
Circumventing Concept Erasure Methods For Text-to-Image Generative Models
Disentangling Task Interference within Neurons: Model Merging in Alignment with Neuronal Mechanisms
Double Q-Learning for Citizen Relocation During Natural Hazards
Docmarking: Real-Time Screen-Cam Robust Document Image Watermarking
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework
Information Geometry of Risks and Returns
Effectiveness of Large Language Models in Simulating Regional Psychological Structures: An Empirical Examination of Personality and Subjective Well-being
Logarithmically larger deletion codes of all distances
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
Learning Space-Time Semantic Correspondences
Using Human-like Mechanism to Weaken Effect of Pre-training Weight Bias in Face-Recognition Convolutional Neural Network
Multiscale Analysis of Information Dynamics for Linear Multivariate Processes
Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs
Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognition
A Wavelet Diffusion GAN for Image Super-Resolution
A Spectral Regularizer for Unsupervised Disentanglement
Transformer Models for Acute Brain Dysfunction Prediction
Lessons for Cybersecurity from the American Public Health System
De Re and De Dicto Knowledge in Egocentric Setting
Expertise Affects Drone Racing Performance
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?
SNAKE: A Sustainable and Multi-functional Traffic Analysis System utilizing Specialized Large-Scale Models with a Mixture of Experts Architecture
Control point based exact description of higher dimensional trigonometric and hyperbolic curves and multivariate surfaces
TraCT: Disaggregated LLM Serving with CXL Shared Memory KV Cache at Rack-Scale
Hybrid models of the cell cycle molecular machinery
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree
Integrating the Probabilistic Models BM25/BM25F into Lucene
DynaCausal: Dynamic Causality-Aware Root Cause Analysis for Distributed Microservices
Linear networks based speaker adaptation for speech synthesis
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level
Detecting Ontological Conflicts in Protocols between Semantic Web Services
Portable Ontological Expressions in NoSQL Queries
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations
Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control
New LCD MDS codes of non-Reed-Solomon type
Does resistance to Style-Transfer equal Shape Bias? Evaluating Shape Bias by Distorted Shape
Pensez: Less Data, Better Reasoning - Rethinking French LLM
Explicit Construction of q-ary 2-deletion Correcting Codes with Low Redundancy
Learning-Based Leader Localization for Underwater Vehicles With Optical-Acoustic-Pressure Sensor Fusion
XDC Gasless Subnet: Gasless Subnet Staking dApp for XDC Network
DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation
Evolving Boolean Regulatory Networks with Variable Gene Expression Times
ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection
A Neuro-Mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization
A Probabilistic Relaxation of the Two-Stage Object Pose Estimation Paradigm
Optimal Operation of Power Systems with Energy Storage under Uncertainty: A Scenario-based Method with Strategic Sampling
LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease
Quantifying the robustness of metro networks
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning
MIRAI: Evaluating LLM Agents for Event Forecasting
Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging
The Curious Case of Machine Learning In Malware Detection
On the Security of Group Communication Schemes
Modeling Food Popularity Dependencies using Social Media data
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance
Multi-Failure Localization in High-Degree ROADM-based Optical Networks using Rules-Informed Neural Networks
In Praise of Stubbornness: The Case for Cognitive-Dissonance-Aware Knowledge Updates in LLMs
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
On the Minimum Attention and the Anytime Attention Control Problems for Linear Systems: A Linear Programming Approach
The Choice Construct in the Souffle Language
Exploring traditional machine learning for identification of pathological auscultations
Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking
Learning to Segment Rigid Motions from Two Frames
Fitted front tracking methods for two-phase incompressible Navier-Stokes flow: Eulerian and ALE finite element discretizations
ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration
Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation
Cross-lingual Emotion Intensity Prediction
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs
PNet: A Python Library for Petri Net Modeling and Simulation
Symbolic Higher-Order Analysis of Multivariate Time Series
Semantic Single-Image Dehazing
A Novel Modeling Approach for All-Dielectric Metasurfaces Using Deep Neural Networks
StreamingHub: Interactive Stream Analysis Workflows
On the Arithmetic Complexities of Hamming Codes and Hadamard Codes
Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception
Conformal Transformations for Symmetric Power Transformers
Infant movement classification through pressure distribution analysis - added value for research and clinical implementation
Stabilizing Tube-Based Model Predictive Control: Terminal Set and Cost Construction for LPV Systems (extended version)
ReDi: Rectified Discrete Flow
A Survey on Peer-to-Peer and DHT
A Robust Signal Classification Scheme for Cognitive Radio
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size
Connected Equitable Cake Division via Sperner's Lemma
Heterogeneous component interactions: Sensors integration into multimedia applications
Talking quiescence: a rigorous theory that supports parallel composition, action hiding and determinisation
Explainable artificial intelligence model to predict acute critical illness from electronic health records
Tongji University Undergraduate Team for the VoxCeleb Speaker Recognition Challenge2020
GaussianSpeech: Audio-Driven Gaussian Avatars
Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph
Version age-based client scheduling policy for federated learning
Supernova Light Curves Approximation based on Neural Network Models
Monte Carlo method and the random isentropic Euler system
Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification
Finite element numerical integration for first order approximations on multi-core architectures
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition
WavJourney: Compositional Audio Creation with Large Language Models
StratOS: A Big Data Framework for Scientific Computing
Maintenance of Strongly Connected Component in Shared-memory Graph
Knowledge Network and a Knowledge Network Example
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control
Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation
Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
Generalized Neural Policies for Relational MDPs
Young women's cognition of commercial digital signage in shopping malls: A situated action approach
Dynamic Active Constraints for Surgical Robots using Vector Field Inequalities
High efficiency and low absorption Fresnel compound zone plates for hard X-ray focusing
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference
Triangle Evacuation of 2 Agents in the Wireless Model
Methods and Tools for Secure Quantum Clouds with a specific Case Study on Homomorphic Encryption
Numerical Optimization for Tensor Disentanglement
Random Simple-Homotopy Theory
A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents
Evolution of Coordination Through Institutional Incentives: An Evolutionary Game Theory Approach
Human-centric Dialog Training via Offline Reinforcement Learning
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles
ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory
Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts
Energy Efficient Greedy Link Scheduling and Power Control in wireless networks
CIPHER: Construction of dIfferentially Private microdata from low-dimensional Histograms via solving linear Equations with Tikhonov Regularization
Compressive neural representation of sparse, high-dimensional probabilities
Structure of Optimal Cache Placement for Coded Caching with Heterogeneous Demands
An Analytical Approach to the Adoption of Asymmetric Bidirectional Firewalls: Need for Regulation?
Single-snapshot machine learning for turbulence super resolution
Upward Planar Drawings with Three Slopes
Modularity bounds for clusters located by leading eigenvectors of the normalized modularity matrix
Untangling Typechecking of Intersections and Unions
Java Generics: An Order-Theoretic Approach (Abridged Outline)
Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue
Self-Evolutionary Reservoir Computer Based on Kuramoto Model
Proof Scores: A Survey (full version)
Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method
A Study on the Improvement of Code Generation Quality Using Large Language Models Leveraging Product Documentation
Riemannian data-dependent randomized smoothing for neural networks certification
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath
Design and implementation of an Android application (MobilitApp+) to analyze the mobility patterns of citizens in the Metropolitan Region of Barcelona
An Improved Three-Weight Message-Passing Algorithm
Towards Fast Inference: Exploring and Improving Blockwise Parallel Drafts
k-Means has Polynomial Smoothed Complexity
Harnessing Large Language Models: Fine-tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks
REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
Neural Kalman Filtering
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
Magnetization of Flat Superconducting Films on Ferromagnetic Substrates
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction
Time Series Simulation by Conditional Generative Adversarial Net
Adaptive Human-Swarm Interaction based on Workload Measurement using Functional Near-Infrared Spectroscopy
A Modular Object Detection System for Humanoid Robots Using YOLO
An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
Time-Switching Uplink Network-Coded Cooperative Communication with Downlink Energy Transfer
Optimal segmentation of directed graph and the minimum number of feedback arcs
No Spare Parts: Sharing Part Detectors for Image Categorization
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain
Synthetic Fluency: Hallucinations, Confabulations, and the Creation of Irish Words in LLM-Generated Translations
Multi Agent Team Learning in Disaggregated Virtualized Open Radio Access Networks (O-RAN)
A Multimodal Approach towards Emotion Recognition of Music using Audio and Lyrical Content
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
New Bounds on k-Planar Crossing Numbers
A fast algorithm for identifying Friends-of-Friends halos
Augmentation-Based Deep Learning for Identification of Circulating Tumor Cells
A Locally Corrected Multiblob Method with Hydrodynamically Matched Grids for the Stokes Mobility Problem
Nontransitive Ranking to Enhance Routing Decision in MANETS
Towards More Accountable Search Engines: Online Evaluation of Representation Bias
Towards Aligning Personalized Conversational Recommendation Agents with Users' Privacy Preferences
TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles
ASE: Anomaly Scoring Based Ensemble Learning for Imbalanced Datasets
Constant time enumeration of perfect bipartite matchings
Shingle 2.0: generalising self-consistent and automated domain discretisation for multi-scale geophysical models
Optimisation of stochastic networks with blocking: a functional-form approach
Patient-specific coronary angioplasty simulations - a mixed-dimensional finite element modeling approach
An exact sinΘ formula for matrix perturbation analysis and its applications
Take a Prior from Other Tasks for Severe Blur Removal
Group Actions and Some Combinatorics on Words with vtm
A QCA Layout Design Methodology. Part I
Beyond Bayes-optimality: meta-learning what you know you don't know
EDUMATH: Generating Standards-aligned Educational Math Word Problems
LoS MIMO-Arrays vs. LoS MIMO-Surfaces
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations
Total/dual correlation/coherence, redundancy/synergy, complexity, and O-information for real and complex valued multivariate data
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models
Efficient Fully Distributed Federated Learning with Adaptive Local Links
On Discrete Conformal Seamless Similarity Maps
Toward a unified theory of sparse dimensionality reduction in Euclidean space
Socioergonomics: A few clarifications on the Technology-Organizations-People Tryptic
On the Parameterized Complexity of the Workflow Satisfiability Problem
Learning with Noisy Labels: the Exploration of Error Bounds in Classification
Sparse image representation by discrete cosine/spline based dictionaries
A New Bound for the Orthogonality Defect of HKZ Reduced Lattices
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data
Gig2Gether: Data-sharing to Empower, Unify and Demystify Gig Work
Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube
LAPX: Lightweight Hourglass Network with Global Context
Converting Nondeterministic Two-Way Automata into Small Deterministic Linear-Time Machines
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins
On multi-conditioned conic fitting in Geometric algebra for conics
Low-rank matrix factorization with attributes
MAFA: A Multi-Agent Framework for Enterprise-Scale Annotation with Configurable Task Adaptation
Developments in Mathematical Algorithms and Computational Tools for Proton CT and Particle Therapy Treatment Planning
Nagare Media Ingest: A System for Multimedia Ingest Workflows
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
Geometric Control of two Quadrotors Carrying a Rigid Rod with Elastic Cables
Comparing Llama3 and DeepSeekR1 on Biomedical Text Classification Tasks
Two-Faced Social Agents: Context Collapse in Role-Conditioned Large Language Models
A PTAS for vertex guarding weakly-visible polygons - An extended abstract
Digital libraries: textual analysis for a systematic review and meta-analysis
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling
Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation
Sparse mmWave OFDM Channel Estimation Using Compressed Sensing in OFDM Systems
Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing
Topological Run-time Monitoring for Complex Systems
An Improved Baseline for Reasoning Segmentation with Large Language Model
Learning Structured Communication for Multi-agent Reinforcement Learning
Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching
Grad DFT: a software library for machine learning enhanced density functional theory
A Dataset for StarCraft AI & an Example of Armies Clustering
Faster Computation of Expected Hypervolume Improvement
Reducing COVID-19 Misinformation Spread by Introducing Information Diffusion Delay Using Agent-based Modeling
Diffusion Bridge Variational Inference for Deep Gaussian Processes
Establishing a Baseline of Software Supply Chain Security Task Adoption by Software Organizations
Latent Topology Induction for Understanding Contextualized Representations
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
BlockQuicksort: How Branch Mispredictions don't affect Quicksort
Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters
Benchmarking Quantum Kernels Across Diverse and Complex Data
On the rate of convergence of fully connected very deep neural network regression estimates
Tight Sufficient Conditions on Exact Sparsity Pattern Recovery
Minimizing Convergence Error in Multi-Agent Systems via Leader Selection: A Supermodular Optimization Approach
Convergence Guarantees for Gradient-Based Training of Neural PDE Solvers: From Linear to Nonlinear PDEs
Bicycle Longitudinal Motion Modeling
Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity Estimation from Facial Images
Reconstruction of the shape of irregular rough particles from their interferometric images using a convolutional neural network
The "recognition," "belief," and "action" regarding conspiracy theories: An empirical study using large-scale samples from Japan and the United States
Machine learning models for prediction of droplet collision outcomes
How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context
ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal
Reproduction of scan B-statistic for kernel change-point detection algorithm
Contrastive Object Detection Using Knowledge Graph Embeddings
HNAS: Hierarchical Neural Architecture Search on Mobile Devices
An adaptive admittance controller for collaborative drilling with a robot based on subtask classification via deep learning
LLM Cyber Evaluations Don't Capture Real-World Risk
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
Biased by Design: Leveraging AI Biases to Enhance Critical Thinking of News Readers
Topological Time Series Analysis
ThermInfo: Collecting, Retrieving, and Estimating Reliable Thermochemical Data
Jiskefet, a bookkeeping application for ALICE
ASPINN: An asymptotic strategy for solving singularly perturbed differential equations
Tweet Sentiment Quantification: An Experimental Re-Evaluation
Human-Computer Interaction Considerations When Developing Cyber Ranges
Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts
Overview of solution methods for elliptic partial differential equations on cartesian and hierarchical grids
Optimizing MapReduce for Highly Distributed Environments
HEDP: A Method for Early Forecasting Software Defects based on Human Error Mechanisms
COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives
Semantic-guided Multi-Mask Image Harmonization
Goal-oriented optimal sensor placement for PDE-constrained inverse problems in crisis management
Vehicle-to-Everything: Looking into the Future of Flexibility Services
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
Learning Multiple Visual Tasks while Discovering their Structure
Affective Computing and Emotional Data: Challenges and Implications in Privacy Regulations, The AI Act, and Ethics in Large Language Models
Bridging Online and Offline Social Networks: Multiplex Analysis
Quantitative Evaluations on Saliency Methods: An Experimental Study
An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches
Automatic Music Sample Identification with Multi-Track Contrastive Learning
Origin-Destination Extraction from Large-Scale Route Search Records for Tourism Trend Analysis
Design and Koopman Model Predictive Control of A Soft Exoskeleton Based on Origami-Inspired Pneumatic Actuator for Knee Rehabilitation
A Regularized Saddle-Point Algorithm for Networked Optimization with Resource Allocation Constraints
The Still Secret Ballot: The Limited Privacy Cost of Transparent Election Results
Approximate Counting in Local Lemma Regimes
Impact of spatial auditory navigation on user experience during augmented outdoor navigation tasks
A Multi-Site Study on AI-Driven Pathology Detection and Osteoarthritis Grading from Knee X-Ray
VISUALCODER: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
Light-Hierarchy: The Optimal Structure for Multicast Routing in WDM Mesh Networks
Open-VERSO: a vision of 5G experimentation infrastructures, hurdles and challenges
On a Bernoulli Autoregression Framework for Link Discovery and Prediction
Generalised Bisimulations for Time Bounded Reachability of CTMCs and CTMDPs
Sharp pointwise-in-time error estimate of L1 scheme for nonlinear subdiffusion equations
Deep Reinforcement Learning Control of Quantum Cartpoles
Cloth Manipulation Using Random Forest-Based Controller Parametrization
Sampled-Data and Event-triggered Boundary Control of a Class of Reaction-Diffusion PDEs with Collocated Sensing and Actuation
Generating Continuations in Multilingual Idiomatic Contexts
View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering
Open-Universe Assistance Games
FaceLift: A transparent deep learning framework to beautify urban scenes
Performance Analysis of Wireless Network with Opportunistic Spectrum Sharing via Cognitive Radio Nodes
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps
On Connectivity Thresholds in Superposition of Random Key Graphs on Random Geometric Graphs
Improving User's Sense of Participation in Robot-Driven Dialogue
Low-order continuous finite element spaces on hybrid non-conforming hexahedral-tetrahedral meshes
On Achievable Rates of the Two-user Symmetric Gaussian Interference Channel
Reparameterized Variational Divergence Minimization for Stable Imitation
Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Risks
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric
Restart Belief: A General Quantum LDPC Decoder
Quantifying the Impact of Label Noise on Federated Learning
IH-ViT: Vision Transformer-based Integrated Circuit Appear-ance Defect Detection