yusuke1997/dblp-id-title huggingface dataset:
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
Approximate ADCs for In-Memory Computing
A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues
Label Correction for Road Segmentation Using Road-side Cameras
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models
Random Features Approximation for Control-Affine Systems
AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain
List-Based Detection and Selection of Access Points in Cell-Free Massive MIMO Networks
The Anatomy of Brexit Debate on Facebook
Lexical Bundle Frequency as a Construct-Relevant Candidate Feature in Automated Scoring of L2 Academic Writing
Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning
The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+o 2 )
Optimal Node Density for Two-Dimensional Sensor Arrays
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction
Metaheuristic Algorithms in Artificial Intelligence with Applications to Bioinformatics, Biostatistics, Ecology and, the Manufacturing Industries
Unlocking Potential in Pre-Trained Music Language Models for Versatile Multi-Track Music Arrangement
Nonasymptotic bounds for suboptimal importance sampling
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
Gated Recurrent Unit for Video Denoising
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
A Conflict-Based Path-Generation Heuristic for Evacuation Planning
Characterizing Flow Complexity in Transportation Networks using Graph Homology
Human Autonomy and Sense of Agency in Human-Robot Interaction: A Systematic Literature Review
Natural Gradient Variational Inference with Gaussian Mixture Models
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
How to choose the root: centrality measures over tree structures
Un résumeur à base de graphes, indépéndant de la langue
Natural Evolutionary Strategies for Variational Quantum Computation
CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning
Competition in Electric Autonomous Mobility on Demand Systems
Sentiment Analysis of COVID-19 Public Activity Restriction (PPKM) Impact using BERT Method
Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
Virtual View Networks for Object Reconstruction
Checking Refinement of Asynchronous Programs against Context-Free Specifications
Explainable and Resilient ML-Based Physical-Layer Attack Detectors
BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices
FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization
What is the Alignment Objective of GRPO?
Coordinated Sparse Recovery of Label Noise
MoRe-ERL: Learning Motion Residuals using Episodic Reinforcement Learning
CenterFormer: Center-based Transformer for 3D Object Detection
Smart Summarizer for Blind People
First-Passage Time and Large-Deviation Analysis for Erasure Channels with Memory
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges
Empirical Analysis on CI/CD Pipeline Evolution in Machine Learning Projects
Highly Accurate Robot Calibration Using Adaptive and Momental Bound with Decoupled Weight Decay
Window Expressions for Stream Data Processing
What deep learning can tell us about higher cognitive functions like mindreading?
If more than Analytical Modeling is Needed to Predict Real Agents' Strategic Interaction
Star Anagram Detection and Classification
The Mathematics of Comparing Objects
Using RDF Summary Graph For Keyword-based Semantic Searches
Hashing Image Patches for Zooming
Text-guided Foundation Model Adaptation for Pathological Image Classification
Linear Constraints Learning for Spiking Neurons
Differentiable Entailment for Parameter Efficient Few Shot Learning
GDPP: Learning Diverse Generations Using Determinantal Point Process
Early Exit Strategies for Approximate k-NN Search in Dense Retrieval
Tele-FLM Technical Report
A Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended
Causal Inference in Energy Demand Prediction
Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping
A Note on Optimal Distributed State Estimation for Linear Time-Varying Systems
Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors
Inferring trust in recommendation systems from brain, behavioural, and physiological data
Fuzzy inference based mentality estimation for eye robot agent
vFusedSeg3D: 3rd Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation
A polynomial time complete disjunction property in intuitionistic propositional logic
SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library
Polaris: A Safety-focused LLM Constellation Architecture for Healthcare
Light spanners for bounded treewidth graphs imply light spanners for $H$-minor-free graphs
On Integrating Fuzzy Knowledge Using a Novel Evolutionary Algorithm
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
Characterization Of any Non-linear Boolean function Using A Set of Linear Operators
A New Dataset and Comparative Study for Aphid Cluster Detection
Next Generation High Speed Computing Using Photonic Based Technolog
Smart Dimming Sunglasses for Photophobia Using Spatial Light Modulator
ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
Complexity of full counting statistics of free quantum particles in entangled states
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference
Identifying Relevant Document Facets for Keyword-Based Search Queries
Boosting as Frank-Wolfe
NFDI4Health workflow and service for synthetic data generation, assessment and risk management
Transaction Fee Mining and Mechanism Design
Less is More: Towards Green Code Large Language Models via Unified Structural Pruning
Comparative Study of Different Guard Time Intervals to Improve the BER Performance of Wimax Systems to Minimize the Effects of ISI and ICI under Adaptive Modulation Techniques over SUI1 and AWGN Communication Channels
Object-fabrication Targeted Attack for Object Detection
A Comparative Study of Classical and Post-Quantum Cryptographic Algorithms in the Era of Quantum Computing
RIS-Assisted OTFS Communications: Phase Configuration via Received Energy Maximization
From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning
Boolean Functions, Quantum Gates and Computer Algebra
Logarithmic Smoothing for Adaptive PAC-Bayesian Off-Policy Learning
On learning Whittle index policy for restless bandits with scalable regret
From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
Which friends are more popular than you? Contact strength and the friendship paradox in social networks
Context-based Motion Retrieval using Open Vocabulary Methods for Autonomous Driving
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning
Surveying the space of descriptions of a composite system with machine learning
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks - Influence of the Learning Rules
Towards Efficient Data-flow Test Data Generation Using KLEE
The Parameterized Complexity of Computing the Linear Vertex Arboricity
Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey
Storage placement policy for minimizing frequency deviation: A combinatorial optimization approach
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
Robust Split Federated Learning for U-shaped Medical Image Networks
AIpparel: A Large Multimodal Generative Model for Digital Garments
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation
Sensitivity of Small Language Models to Fine-tuning Data Contamination
Multilevel quasi-Monte Carlo for random elliptic eigenvalue problems II: Efficient algorithms and numerical results
Digging Into the Internal: Causality-Based Analysis of LLM Function Calling
Group Testing with Random Pools: optimal two-stage algorithms
Investigating Consistency in Query-Based Meeting Summarization: A Comparative Study of Different Embedding Methods
A New Communication Theory on Complex Information and a Groundbreaking New Declarative Method to Update Object Databases
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies
RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach
Self-loop Compensation in Signed Networks
PrefPaint: Enhancing Image Inpainting through Expert Human Feedback
LOLAMEME: Logic, Language, Memory, Mechanistic Framework
Measurement and Potential Field-Based Patient Modeling for Model-Mediated Tele-ultrasound
The resilience of interdependent transportation networks under targeted attack
HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation
Kuaiji: the First Chinese Accounting Large Language Model
EnvBench: A Benchmark for Automated Environment Setup
The Computational Universality of Metabolic Computing
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory
Computing Lyapunov functions using deep neural networks
Yankari: A Monolingual Yoruba Dataset
Evaluation of NVENC Split-Frame Encoding (SFE) for UHD Video Transcoding
Optimal error bounds on time-splitting methods for the nonlinear Schrödinger equation with low regularity potential and nonlinearity
Multi-agent Social Reinforcement Learning Improves Generalization
Measuring Grammatical Diversity from Small Corpora: Derivational Entropy Rates, Mean Length of Utterances, and Annotation Invariance
WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction
Private Set Matching Protocols
Empathetic Cascading Networks: A Multi-Stage Prompting Technique for Reducing Social Biases in Large Language Models
Simulation of Entanglement-Enabled Connectivity in QLANs using SeQUeNCe
Stochastic Clock Attention for Aligning Continuous and Ordered Sequences
Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
Superion: Grammar-Aware Greybox Fuzzing
Robust Numerical Integration on Curved Polyhedra Based on Folded Decompositions
Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation
Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models
Generative linguistics contribution to artificial intelligence: Where this contribution lies?
Deep Learning in Astrophysics
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking
An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors
Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References
Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach
Prioritizing Computing Research to Empower and Protect Vulnerable Populations
LLM Agents for Psychology: A Study on Gamified Assessments
Decision Under Uncertainty in Diagnosis
LibrettOS: A Dynamically Adaptable Multiserver-Library OS
Robust Data-Driven Error Compensation for a Battery Model
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation
Exploring Fairness across Fine-Grained Attributes in Large Vision-Language Models
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT
Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software
A Supervised Modified Hebbian Learning Method On Feed-forward Neural Networks
Short Literature Review for a General Player Model Based on Behavlets
Watching Videos with Certain and Constant Quality: PID-based Quality Control Method
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Towards Populating Generalizable Engineering Design Knowledge
A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection
Dialogue Inspectional Summarization with Factual Inconsistency Awareness
Rotating shallow water flow under location uncertainty with a structure-preserving discretization
Proceedings Tenth International Workshop on Developments in Computational Models, DCM 2014, Vienna, Austria, 13th July 2014
Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model
Performance of Non-orthogonal Multiple Access under Finite Blocklength
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction
Generating Whole-Body Avoidance Motion through Localized Proximity Sensing
Integrating uncertainty quantification into randomized smoothing based robustness guarantees
An Efficient Architecture for Information Retrieval in P2P Context Using Hypergraph
Classification of Brainwave Signals Based on Hybrid Deep Learning and an Evolutionary Algorithm
Computable Component-wise Reducibility
Accelerating netty-based applications through transparent InfiniBand support
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
The Least Wrong Model Is Not in the Data
Navigating Conceptual Space; A new take on Artificial General Intelligence
Long non-crossing configurations in the plane
GLIMPSE: Generalized Local Imaging with MLPs
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph
Multiview Graph Learning with Consensus Graph
LLM Inference Enhanced by External Knowledge: A Survey
Task-Oriented Data Synthesis and Control-Rectify Sampling for Remote Sensing Semantic Segmentation
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates
Unifying Markov Chain Approach for Disease and Rumor Spreading in Complex Networks
PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
Users volatility on Reddit and Voat
GraphMatch: Subgraph Query Processing on FPGAs
Parameter Identification of Induction Motor Using Modified Particle Swarm Optimization Algorithm
Fully Dynamic Matching and Ordered Ruzsa-Szemer\'edi Graphs
Residual-Based a Posteriori Error Estimators for Algebraic Stabilizations
Learning predictive representations in autonomous driving to improve deep reinforcement learning
Evolving Label Usage within Generation Z when Self-Describing Sexual Orientation
Learn to Relax with Large Language Models: Solving Nonlinear Combinatorial Optimization Problems via Bidirectional Coevolution
Leaving Some Facial Features Behind
The belief in Moore's Law is undermining ICT climate action
Topological Effects on Attacks Against Vertex Classification
Sampling from convex sets with a cold start using multiscale decompositions
Super-Resolution Surface Reconstruction from Few Low-Resolution Slices
On some sufficient conditions for distributed QoS support in wireless networks
Spectral clustering in the weighted stochastic block model
Hypergraphs as Metro Maps: Drawing Paths with Few Bends in Trees, Cacti, and Plane 4-Graphs
Error estimates of a theta-scheme for second-order mean field games
Real-time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data
Data Parallel Path Tracing in Object Space
On the Skolem Problem and Prime Powers
A State Observer Design for Simultaneous Estimation of Charge State and Crossover in Self-Discharging Disproportionation Redox Flow Batteries
On the Feasibility and Implications of Self-Contained Search Engines in the Browser
Geometric Algorithms for Minimal Enclosing Discs in Strictly Convex Normed Planes
Mitigating deep double descent by concatenating inputs
Metric Learning with Adaptive Density Discrimination
Evaluating the Evaluators: Are readability metrics good measures of readability?
Riesz feature representation: scale equivariant scattering network for classification tasks
Position Aided Beam Alignment for Millimeter Wave Backhaul Systems with Large Phased Arrays
Aggregated Individual Reporting for Post-Deployment Evaluation
Chimera: Compositional Image Generation using Part-based Concepting
Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching
Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities
MIMO capacity for deterministic channel models: sublinear growth
Comparing Multi-Target Trackers on Different Force Unit Levels
Adversarial Attacks on LLM-as-a-Judge Systems: Insights from Prompt Injections
Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models
A Theoretical Analysis of Authentication, Privacy and Reusability Across Secure Biometric Systems
The Arity Hierarchy in the Polyadic μ-Calculus
A Robust Control Approach to Asymptotic Optimality of the Heavy Ball Method for Optimization of Quadratic Functions
Online Newton Step Algorithm with Estimated Gradient
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
Crank-Nicolson schemes for sub-diffusion equations with nonsingular and singular source terms in time
SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
DeSkew-LSH based Code-to-Code Recommendation Engine
MAEVI: Motion Aware Event-Based Video Frame Interpolation
ROS: Resource-constrained Oracle Synthesis for Quantum Computers
Agent models: Internalizing Chain-of-Action Generation into Reasoning models
Managing Security Issues in Software Containers: From Practitioners Perspective
MIMO CDMA-based Optical SATCOMs: A New Solution
Sim2Real Grasp Pose Estimation for Adaptive Robotic Applications
CDCL(Crypto) SAT Solvers for Cryptanalysis
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning
Towards Cost-Effective ZK-Rollups: Modeling and Optimization of Proving Infrastructure
Bearing-based Relative Localization for Robotic Swarm with Partially Mutual Observations
Empowering Sustainable Finance with Artificial Intelligence: A Framework for Responsible Implementation
Multiple shooting technique for optimal attitude control of a spacecraft with momentum and control constraints
Position: Interactive Generative Video as Next-Generation Game Engine
Kratt: Developing an Automatic Subject Indexing Tool for The National Library of Estonia
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition
Cross-Modal Attention Guided Unlearning in Vision-Language Models
The equational theory of the Weihrauch lattice with multiplication
Query Driven Visualization of Astronomical Catalogs
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies
Detecting English Writing Styles For Non Native Speakers
V2M4: 4D Mesh Animation Reconstruction from a Single Monocular Video
Optimizing CMS build infrastructure via Apache Mesos
Computational Enhancement for Day-Ahead Energy Scheduling with Sparse Neural Network-based Battery Degradation Model
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
Bi-capacities -- Part I: definition, Möbius transform and interaction
New methods for computing the generalized chi-square distribution
Gillian: A Multi-Language Platform for Unified Symbolic Analysis
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces
Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning
Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation
Universal Adaptive Environment Discovery
Graphical Classification of Entangled Qutrits
NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description
The Urban Model Platform: A Public Backbone for Modeling and Simulation in Urban Digital Twins
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
Energy Consumption of Dataframe Libraries for End-to-End Deep Learning Pipelines:A Comparative Analysis
Adaptive POD Galerkin technique for reservoir simulation and optimization
BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution
Domain Partitioning Network
Centrality in Interconnected Multilayer Networks
Concurrent learning-based online approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games
DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance
A Physics-Constrained, Design-Driven Methodology for Defect Dataset Generation in Optical Lithography
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
On the Relationship Between Dual Photography and Classical Ghost Imaging
ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods
Survey in Characterization of Semantic Change
Inertia-Aware Microgrid Investment Planning Using Tractable Decomposition Algorithms
Mitigating Denial Of Services Using Secure Overlay Service Model
Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm
Explaining Ontology-Mediated Query Answers using Proofs over Universal Models (Technical Report)
A Closer Look at Loss Weighting in Multi-Task Learning
Measuring the Directional Distance Between Fuzzy Sets
Perfect Fingerprint Orientation Fields by Locally Adaptive Global Models
Deep Adversarial Learning with Activity-Based User Discrimination Task for Human Activity Recognition
CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models
TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models
Engaging Learning Analytics in MOOCS: the good, the bad, and the ugly
DV-ARPA: Data Variety Aware Resource Provisioning for Big Data Processing in Accumulative Applications
PointCNN++: Performant Convolution on Native Points
Simulating sea-ice deformation in viscous-plastic sea-ice models with CD-grids
Do higher-order interactions promote synchronization?
Cross-modal Cognitive Consensus guided Audio-Visual Segmentation