yusuke1997/dblp-id-title huggingface dataset:
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints
CRC: Fully General Model of Confidential Remote Computing
Efficient Semantic Summary Graphs for Querying Large Knowledge Graphs
OmniStyle2: Scalable and High Quality Artistic Style Transfer Data Generation via Destylization
Introducing First-Principles Calculations: New Approach to Group Dynamics and Bridging Social Phenomena in TeNP-Chain Based Social Dynamics Simulations
Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
Observability Certification and Optimal Design of Nonlinear Observation Parameters in the Presence of Measurement Noise and Model Mismatches
Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models
KPQA: A Metric for Generative Question Answering Using Word Weights
The use of the open innovation paradigm in the public sector: a systematic review of published studies
An Incoercible E-Voting Scheme Based on Revised Simplified Verifiable Re-encryption Mix-nets
A geometric approach towards inverse kinematics of soft extensible pneumatic actuators intended for trajectory tracking
Video Generation Models Are Good Latent Reward Models
Relational hyperevent models for the coevolution of coauthoring and citation networks
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition
3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
Dynamic Adaptation of User Preferences and Results in a Destination Recommender System
Causal Knowledge Transfer from Task Affinity
SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees
Mapping Business Process Modeling constructs to Behavior Driven Development Ubiquitous Language
Efficient Codes for Adversarial Wiretap Channels
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts
Hallmarks of Optimization Trajectories in Neural Networks and LLMs: The Lengths, Bends, and Dead Ends
Cross-Category Functional Grasp Tansfer
Remember Me: Bridging the Long-Range Gap in LVLMs with Three-Step Inference-Only Decay Resilience Strategies
A Topological Approach for Semi-Supervised Learning
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations
Compressed QMC volume and surface integration on union of balls
Information Rates with Non Ideal Photon Detectors in Time-Entanglement Based QKD
KoroT-3E: A Personalized Musical Mnemonics Tool for Enhancing Memory Retention of Complex Computer Science Concepts
Virtual Reality Based Robot Teleoperation via Human-Scene Interaction
A Bulk-Controlled Low-Voltage CMOS Quadrature Oscillator
An Information-theoretic Approach to Machine-oriented Music Summarization
Hierarchy and information in feedforward networks
hChain: Blockchain Based Large Scale EHR Data Sharing with Enhanced Security and Privacy
"Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization
Embedding Inequalities for Barron-type Spaces
Learning vector autoregressive models with focalised Granger-causality graphs
Hybridizable discontinuous Galerkin methods for the Monge-Ampere equation
Multi-stage Robust Transmission Expansion Planning under Socioeconomic and Environmental Changes
Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation
The thermodynamic roots of synergy and its impact on society
Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games
A Bayesian Optimization approach for calibrating large-scale activity-based transport models
Single-pixel 3D imaging based on fusion temporal data of single photon detector and millimeter-wave radar
PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
Inclusive education via empathy propagation in schools of students with special education needs
Minority Voter Distributions and Partisan Gerrymandering
6G Takes Shape
CREATOR Case: PMSM and IM Electric Machine Data for Validation and Benchmarking of Simulation and Modeling Approaches
A Unifying Analysis of Shift Operators on a Graph
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Accelerating Vision Transformers with Adaptive Patch Sizes
Exponential Expressivity of ReLU k Neural Networks on Gevrey Classes with Point Singularities
Boundary control of time-harmonic eddy current equations
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
Document Automation Architectures: Updated Survey in Light of Large Language Models
Towards supporting simultaneous use of process-based quality approaches
How to Reconfigure Your Alliances
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction
Bayesian Network Structure Discovery Using Large Language Models
HunSum-1: an Abstractive Summarization Dataset for Hungarian
A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing
Consensus analysis of random sub-graphs for distributed filtering with link failures
Adversarial Video Promotion Against Text-to-Video Retrieval
Is Large-Scale Pretraining the Secret to Good Domain Generalization?
Real-Time Lip Sync for Live 2D Animation
Quantization Blindspots: How Model Compression Breaks Backdoor Defenses
Automatic benchmarking of large multimodal models via iterative experiment programming
Joint Cross-layer Optimization in Real-Time Networked Control Systems
Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control
Multi-tenant Pub/Sub Processing for Real-time Data Streams
Test-Time Consistency in Vision Language Models
Tree-structure Expectation Propagation for Decoding LDPC codes over Binary Erasure Channels
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks
Topological Feature Vectors for Chatter Detection in Turning Processes
F2- Rules for Qualification of Developing and Managing Software Product Line
PairBench: A Systematic Framework for Selecting Reliable Judge VLMs
New bounds on the density of lattice coverings
Causality-Respecting Adaptive Refinement for PINNs: Enabling Precise Interface Evolution in Phase Field Modeling
Evaluating Pre-Training Bias on Severe Acute Respiratory Syndrome Dataset
Directed Symmetric Multicut is W[1]-hard
SPACE: 3D Spatial Co-operation and Exploration Framework for Robust Mapping and Coverage with Multi-Robot Systems
A Wearable CMOS Biosensor with 3 Designs of Energy-Resolution Scalable Time-Based Resistance to Digital Converter
Adaptive Iterative Decision Feedback Detection Algorithms for Multi-User MIMO Systems
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Improving Visual-textual Sentiment Analysis by Fusing Expert Features
On the existence of consistent adversarial attacks in high-dimensional linear classification
Skin disease diagnosis using image analysis and natural language processing
Spectral Architecture Search for Neural Networks
Atten-Transformer: A Deep Learning Framework for User App Usage Prediction
Informal proceedings of the 32nd International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2022)
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
A self-adaptive and robust fission clustering algorithm via heat diffusion and maximal turning angle
Outlier Detection by Consistent Data Selection Method
Logistic-Gated Operators Enable Auditable Unit-Aware Thresholds in Symbolic Regression
ReLU Network Approximation in Terms of Intrinsic Parameters
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images
Exact Real Arithmetic with Perturbation Analysis and Proof of Correctness
Diffeomorphic Neural Operator Learning
A denotational semantics for PROMELA addressing arbitrary jumps
Watermarking Diffusion Language Models
Shape-Based Plagiarism Detection for Flowchart Figures in Texts
Exploring Multi-Tasking Learning in Document Attribute Classification
Equivalence of Deterministic Weighted Real-time One-Counter Automata
Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
Learning to Point and Count
Smoothing and Modeling of Video Transmission Rates over a QoS Network with Limited Bandwidth Connections
A Public Key Block Cipher Based on Multivariate Quadratic Quasigroups
Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration
Spatial Oversampling in LOS MIMO Systems with 1-Bit Quantization at the Receiver
ClearSphere: Multi-Earphone Synergy for Enhanced Conversational Clarity
Quantum speedups for dynamic programming on n-dimensional lattice graphs
Safe Augmentation: Learning Task-Specific Transformations from Data
EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation
PatchProto Networks for Few-shot Visual Anomaly Classification
Kronecker scaling of tensors with applications to arithmetic circuits and algorithms
LeKUBE: A Legal Knowledge Update BEnchmark
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit
LiftUpp: Support to develop learner performance
Forbidden branches in trees with minimal atom-bond connectivity index
A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems
Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
Stochastic Amplitude Flow for phase retrieval, its convergence and doppelgängers
PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration
Computer Program Decomposition and Dynamic/Behavioral Modeling
Transmitter Optimization in MISO Broadcast Channel with Common and Secret Messages
Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
Clustered Retrieved Augmented Generation (CRAG)
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
Narrowband Transmit Beam Pattern in medical ultrasound: a stochastic approach to delays optimization
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms
Bayesian Optimization of Robustness Measures Using Randomized GP-UCB-based Algorithms under Input Uncertainty
Artificial intelligence for objective assessment of acrobatic movements: How to apply machine learning for identifying tumbling elements in cheer sports
Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops
Patient-Centric Cellular Networks Optimization using Big Data Analytics
Reinforcement Learning with History-Dependent Dynamic Contexts
First-order Policy Optimization for Robust Markov Decision Process
Deep Anomaly Detection by Residual Adaptation
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
Scalable GPU-Accelerated Euler Characteristic Curves: Optimization and Differentiable Learning for PyTorch
Unveiling Ethereum's P2P Network: The Role of Chain and Client Diversity
CCFC: Bridging Federated Clustering and Contrastive Learning
Multi-layer RIS on Edge: Communication, Computation and Wireless Power Transfer
Optimal design of lottery with cumulative prospect theory
On MISO Broadcast Channel With Alternating CSIT and Secrecy Constraints
ISC-Perception: A Hybrid Computer Vision Dataset for Object Detection in Novel Steel Assembly
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem
Can LLMs Converse Formally? Automatically Assessing LLMs in Translating and Interpreting Formal Specifications
Treewidth versus clique number. IV. Tree-independence number of graphs excluding an induced star
GraspCaps: Capsule Networks Are All You Need for Grasping Familiar Objects
MMD-Newton Method for Multi-objective Optimization
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems
Quantitative and Metric Rewriting: Abstract, Non-Expansive, and Graded Systems
Local Linear Convergence of Infeasible Optimization with Orthogonal Constraints
Transverse Contraction Criteria for Stability of Nonlinear Hybrid Limit Cycles
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
On the number of non-G-equivalent minimal abelian codes
An Improved Quality Hierarchical Congestion Approximator in Near-Linear Time
p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations
Large Language Models to the Rescue: Deadlock Resolution in Multi-Robot Systems
Quantum First-Order Logics That Capture Logarithmic-Time/Space Quantum Computability
Exact Approach for Survivable Regenerator Placement in Translucent WDM Networks
Data-free parameter pruning for Deep Neural Networks
Design and Experimental Validation of an Autonomous USV for Sensor Fusion-Based Navigation in GNSS-Denied Environments
Malware static analysis and DDoS capabilities detection
Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform
Network mutual information measures for graph similarity
Energy Flexibility Potential in the Brewery Sector: A Multi-agent Based Simulation of 239 Danish Breweries
Efficient and Stable Finite Difference Modelling of Acoustic Wave Propagation in Variable-density Media
Optimal alignment of Lorentz orientation and generalization to matrix Lie groups
Implementation of an Onboard Visual Tracking System with Small Unmanned Aerial Vehicle (UAV)
REST-HANDS: Rehabilitation with Egocentric Vision Using Smartglasses for Treatment of Hands after Surviving Stroke
Ranking Catamorphisms and Unranking Anamorphisms on Hereditarily Finite Datatypes
Indagini in Deep Inference
System identification and closed-loop control of laser hot-wire directed energy deposition using the parameter-signature-property modeling scheme
The Battle of LLMs: A Comparative Study in Conversational QA Tasks
Capacitated Dominating Set on Planar Graphs
Application of Expurgated PPM to Indoor Visible Light Communications - Part I: Single-User Systems
TruncFormer: Private LLM Inference Using Only Truncations
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights
Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness
SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition
Online Learning Algorithms for Stochastic Water-Filling
Machine Learning Etudes in Astrophysics: Selection Functions for Mock Cluster Catalogs
Image Captioning based on Deep Learning Methods: A Survey
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification
Taming Flow-based I2V Models for Creative Video Editing
Convex geometry of the Coding problem for error constrained Dictionary Learning
Tasks People Prompt: A Taxonomy of LLM Downstream Tasks in Software Verification and Falsification Approaches
Semantics between customers and providers: The relation between product descriptions, reviews, and customer satisfaction in E-commerce
Using 5G in Smart Cities: A Systematic Mapping Study
A transverse Hamiltonian variational technique for open quantum stochastic systems and its application to coherent quantum control
Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion Recognition
Macroeconomic Foundation of Monetary Accounting by Diagrams of Categorical Universals
Sum-of-Max Partition under a Knapsack Constraint
Meta-Learning Adaptable Foundation Models
A2C is a special case of PPO
Reverberation-based Features for Sound Event Localization and Detection with Distance Estimation
Recent Developments in Cloud Based Systems: State of Art
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
Hiding Malicious Content in PDF Documents
Measure the Impact of Institution and Paper via Institution-citation Network
Group Decision-Making among Privacy-Aware Agents
Cyber Slavery Infrastructures: A Socio-Technical Study of Forced Criminality in Transnational Cybercrime
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces
Matching Distributions via Optimal Transport for Semi-Supervised Learning
Towards Agentic AI on Particle Accelerators
Permutation-Equivariant Learning for Dynamic Security Assessment of Power System Frequency Response
SemRob: Towards Semantic Stream Reasoning for Robotic Operating Systems
Anatomy-Guided Representation Learning Using a Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images
Evaluation of a Canonical Image Representation for Sidescan Sonar
AISHELL6-whisper: A Chinese Mandarin Audio-visual Whisper Speech Dataset with Speech Recognition Baselines
Measuring the Completeness of Theories
Approximately Stable Matchings with Budget Constraints
A Computational Approach to Analyzing Language Change and Variation in the Constructed Language Toki Pona
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network
Effective Management of Airport Security Queues with Passenger Reassignment
Relieving Triplet Ambiguity: Consensus Network for Language-Guided Image Retrieval
Two Stream Self-Supervised Learning for Action Recognition
Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing
Zero Correlation Zone Sequences With Flexible Block-Repetitive Spectral Constraints
Crafting Efficient Fine-Tuning Strategies for Large Language Models
Large Language Models for Multi-Modal Human-Robot Interaction
AInsteinBench: Benchmarking Coding Agents on Scientific Repositories
Residential Energy Storage Management with Bidirectional Energy Control
On the Unity of Logic: a Sequential, Unpolarized Approach
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network
MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models
Self-Supervised Visual Representation Learning on Food Images
Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism
Detecting hidden signs of diabetes in external eye photographs
Dimensionality reduction of SDPs through sketching
Multi-task U-Net for Music Source Separation
Spatial Coding Based on Minimum BER in 1-Bit Massive MIMO Systems
Performance of Automatic De-identification Across Different Note Types
Solar-Sail Trajectory Design of Multiple Near Earth Asteroids Exploration Based on Deep Neural Network
DiPA: Diverse and Probabilistically Accurate Interactive Prediction
LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators
Self-Interference Cancellation with Nonlinear Distortion Suppression for Full-Duplex Systems
Downlink and Uplink Energy Minimization Through User Association and Beamforming in Cloud RAN
A Systematic Study of Online Class Imbalance Learning with Concept Drift
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning
A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations
Revisiting Active Learning under (Human) Label Variation
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Pan-infection Foundation Framework Enables Multiple Pathogen Prediction
Disentangled Feature for Weakly Supervised Multi-class Sound Event Detection
A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time
Incorporating Deep Q - Network with Multiclass Classification Algorithms
Evacuation of rectilinear polygons
SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens
Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization
ToLeaP: Rethinking Development of Tool Learning with Large Language Models
Open-MPI over MOSIX: paralleled computing in a clustered world
Predicting the outcome of team movements - Player time series analysis using fuzzy and deep methods for representation learning
Making congestion control robust to per-packet load balancing in datacenters
Fractional Logistic Growth with Memory Effects: A Tool for Industry-Oriented Modeling
Algebraic gossip on Arbitrary Networks
Graph Agent: Explicit Reasoning Agent for Graphs
What machine learning can do for computational solid mechanics
On Sequences with Non-Learnable Subsequences
A big data approach towards sarcasm detection in Russian
DeViDe: Faceted medical knowledge for improved medical vision-language pre-training
Steps are all you need: Rethinking STEM Education with Prompt Engineering
PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning
Curiosity-Driven LLM-as-a-judge for Personalized Creative Judgment
How Different Are Different diff Algorithms in Git? Use -histogram for Code Changes
ARSS: Taming Decoder-only Autoregressive Visual Generation for View Synthesis From Single View
Disentangling CLIP Features for Enhanced Localized Understanding
A thermodynamically consistent phase-field model for mass transport with interfacial reaction and deformation
A Ramsey-type Theorem on the Max-Cut Value of d-Regular Graphs
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal
Development of a neural network to recognize standards and features from 3D CAD models
Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain
Compositional Language Understanding with Text-based Relational Reasoning
Disease Labeling via Machine Learning is NOT quite the same as Medical Diagnosis
Complexity of the Guarded Two-Variable Fragment with Counting Quantifiers
Multi-target multi-camera vehicle tracking using transformer-based camera link model and spatial-temporal information
Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation
Mathematical Programming Models for Mean Computation in Dynamic Time Warping Spaces
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency
XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Metric-driven numerical methods
Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++
A new perspective on the competent programmer hypothesis through the reproduction of bugs with repeated mutations
Principles for Open Data Curation: A Case Study with the New York City 311 Service Request Data
M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR Data
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
Antagonism also Flows through Retweets: The Impact of Out-of-Context Quotes in Opinion Polarization Analysis
Learning Neural Models for Natural Language Processing in the Face of Distributional Shift
Decision and function problems based on boson sampling
Scaling Distributed Transaction Processing and Recovery based on Dependency Logging
Accurate simulations of nonlinear dynamic shear ruptures on pre-existing faults in 3D elastic solids with dual-pairing SBP methods
AI (r)evolution - where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning