yusuke1997/dblp-id-title huggingface dataset:
Adaptive Passive Beamforming in RIS-Aided Communications With Q-Learning
A Feasibility Study of Using Light Fidelity With Multiple Unmanned Aerial Vehicles For Indoor Collaborative And Cooperative Networking
A Survey of Automatic Prompt Engineering: An Optimization Perspective
Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision
Context Specific Event Model For News Articles
Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey
Rapid Bayesian Inference of Global Network Statistics using Random Walks
Entropy numbers of finite-dimensional Lorentz space embeddings
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?
Axiomatic Approach to Solutions of Games
Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving
Inverse Inference on Cooperative Control of Networked Dynamical Systems
Second order conservative languages with a Maltsev polymorphism also have a majority polymorphism
Event-based Human Pose Tracking by Spiking Spatiotemporal Transformer
VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
Assessing the Impact of Informedness on a Consultant's Profit
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations
Towards a Unifying View of QoS-Enhanced Web Service Description and Discovery Approaches
Method of the coherence evaluation of Ukrainian text
TroubleLLM: Align to Red Team Expert
A Comparison of Parametric Dynamic Mode Decomposition Algorithms for Thermal-Hydraulics Applications
Adaptive Fuzzy Controller for Synchronous Generator
Artificial life using the book and bookmarker
Fair Coresets and Streaming Algorithms for Fair k-Means Clustering
Dr.Mi-Bench: A Modular-integrated Benchmark for Scientific Deep Research Agent
Slide-free MUSE Microscopy to H&E Histology Modality Conversion via Unpaired Image-to-Image Translation GAN Models
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach
A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods
Picsou: Enabling Efficient Cross-Consensus Communication
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation
Challenges and approaches to time-series forecasting in data center telemetry: A Survey
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics
Bidirectional Type Checking for Relational Properties
Scheduling Parallel and Distributed Processing for Automotive Data Stream Management System
Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian
Triple-Block Generalized Inverses for Control Applications with Mixed Consistency Requirements
Teaching Cars to Drive: Spotlight on Connected and Automated Vehicles
Dopamine: Differentially Private Federated Learning on Medical Data
AI for Mathematics: A Cognitive Science Perspective
Dynamic Control of Tunable Sub-optimal Algorithms for Scheduling of Time-varying Wireless Networks
Convergence of Markov Chains for Constant Step-size Stochastic Gradient Descent with Separable Functions
Optical Script Identification for multi-lingual Indic-script
Proof of Mining in Blockchain Systems
On Computational Entanglement and Its Interpretation in Adversarial Machine Learning
Bayesian Optimization by Kernel Regression and Density-based Exploration
A Robot Web for Distributed Many-Device Localisation
Transformer with Selective Shuffled Position Embedding using ROI-Exchange Strategy for Early Detection of Knee Osteoarthritis
An Empirical Evaluation of Neural and Neuro-symbolic Approaches to Real-time Multimodal Complex Event Detection
Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Constructive Lyapunov Functions via Topology-Preserving Neural Networks
Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition
Trajectory Poisson multi-Bernoulli filters
Lightweight Model Pre-training via Language Guided Knowledge Distillation
Circular Proofs for Gödel-Löb Logic
Context-Aware Dynamic Chunking for Streaming Tibetan Speech Recognition
Polynomial-time solution of prime factorization and NP-hard problems with digital memcomputing machines
Classifying multilingual party manifestos: Domain transfer across country, time, and genre
On the Spectral Efficiency of Massive MIMO Systems with Low-Resolution ADCs
A kinetic traffic network model and its macroscopic limit: merging lanes
Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising
Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid
Differentially Private Identity and Closeness Testing of Discrete Distributions
CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic
Permutation Invariant Gaussian Matrix Models
Synthetic data for unsupervised polyp segmentation
Evaluating the Impacts of Transmission Expansion on Sub-Synchronous Resonance Risk
Testing systems of real quadratic equations for approximate solutions
Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random Grouping
Interdependent Strategic Security Risk Management with Bounded Rationality in the Internet of Things
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Convolutional Neural Networks for Multi-class Histopathology Image Classification
ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching
An Analytical Approach to Compute the Exact Preimage of Feed-Forward Neural Networks
Correlations between user voting data, budget, and box office for films in the Internet Movie Database
TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation
Accelerated Variance Based Joint Sparsity Recovery of Images from Fourier Data
Capturing Classic Authorial Style in Long-Form Story Generation with GRPO Fine-Tuning
Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning
The heterogeneity of inter-contact time distributions: its importance for routing in delay tolerant networks
Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging
On the number of lambda terms with prescribed size of their De Bruijn representation
Long Range Probabilistic Forecasting in Time-Series using High Order Statistics
Automated Modular Verification for Race-Free Channels with Implicit and Explicit Synchronization
AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy
Infrared UAV Target Tracking with Dynamic Feature Refinement and Global Contextual Attention Knowledge Distillation
A structure-preserving doubling algorithm for solving a class of quadratic matrix equation with M-matrix
Open Access Books in the Humanities and Social Sciences: an Open Access Altmetric Advantage
Neural Speech Tracking in a Virtual Acoustic Environment: Audio-Visual Benefit for Unscripted Continuous Speech
On Noisy Network Coding for a Gaussian Relay Chain Network with Correlated Noises
ADAM: A Sandbox for Implementing Language Learning
Ethical considerations in an online community: the balancing act
Understanding the Cluster LP for Correlation Clustering
Systems of Word Equations and Polynomials: a New Approach
Automated Computer Evaluation of Acute Ischemic Stroke and Large Vessel Occlusion
SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
Implementing prescribed-time convergent control: sampling and robustness
SMART-Merge Planner: A Safe Merging and Real-Time Motion Planner for Autonomous Highway On-Ramp Merging
Quality Assessment and Improvement of Helm Charts for Kubernetes-Based Cloud Applications
PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applications
Tracing the boundaries of materials in transparent vessels using computer vision
Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach
Spreadsheet Risk Management in Organisations
Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Generalised Rabin(1) synthesis
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems
Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
MiBoard: Metacognitive Training Through Gaming in iSTART
A Cooperative Bayesian Nonparametric Framework for Primary User Activity Monitoring in Cognitive Radio Network
Efficient LDPC Codes over GF(q) for Lossy Data Compression
Ergonomic Collaboration between Humans and Robots: An Energy-Aware Signal Temporal Logic Perspective
Counting solutions from finite samplings
Probabilistically safe and efficient model-based Reinforcement Learning
The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context
Fostering Peer Learning through a New Game-Theoretical Approach in a Blended Learning Environment
Filtration and canonical completeness for continuous modal mu-calculi
Mathematical models for epidemic spreading on complex networks
Improved Image Classification with Token Fusion
From Theory to Practice: Advancing Multi-Robot Path Planning Algorithms and Applications
Spatial embedding promotes a specific form of modularity with low entropy and heterogeneous spectral dynamics
A super-convergent hybridisable discontinuous Galerkin method for linear elasticity
Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns
Nonlocal approaches for multilane traffic models
Scaling Genetic Programming for Source Code Modification
A formal definition and a new security mechanism of physical unclonable functions
Composable Quantum Fault-Tolerance
Improved 2-Approximate Shortest Paths for close vertex pairs
Low rank approximation of positive semi-definite symmetric matrices using Gaussian elimination and volume sampling
fauci-email: a json digest of Anthony Fauci's released emails
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
ControlSpeech: Towards Simultaneous Zero-shot Speaker Cloning and Zero-shot Language Style Control With Decoupled Codec
SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures
Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs
Validation of counting methods in bibliometrics
Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning
Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
GLOW: Global Illumination-Aware Inverse Rendering of Indoor Scenes Captured with Dynamic Co-Located Light & Camera
Deep Learning-Guided Image Reconstruction from Incomplete Data
Towards a pretrained deep learning estimator of the Linfoot informational correlation
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
A cutting plane algorithm for globally solving low dimensional k-means clustering problems
Flexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R
Beyond Uncertainty Sets: Leveraging Optimal Transport to Extend Conformal Predictive Distribution to Multivariate Settings
B-Spline CNNs on Lie Groups
Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks
DeepPAAC: A New Deep Galerkin Method for Principal-Agent Problems
Computing skeletons for rectilinearly-convex obstacles in the rectilinear plane
A Generalized Fundamental Matrix for Computing Fundamental Quantities of Markov Systems
Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach
Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
On the Nash Stability in the Hedonic Coalition Formation Games
Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust
Making AI Work: An Autoethnography of a Workaround in Higher Education
Threat Analysis of Industrial Internet of Things Devices
A Data-driven Investigation of Euphemistic Language: Comparing the usage of "slave" and "servant" in 19th century US newspapers
On Peak versus Average Interference Power Constraints for Spectrum Sharing in Cognitive Radio Networks
Simultaneous Motion And Noise Estimation with Event Cameras
CycloWatt: An Affordable, TinyML-enhanced IoT Device Revolutionizing Cycling Power Metrics
A Novel Approach to Secure RSMA Networks
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Large Scale Geometries of Infinite Strings
A Biomimetic Approach Based on Immune Systems for Classification of Unstructured Data
Deep ensemble learning for Alzheimers disease classification
Temporal Visual Semantics-Induced Human Motion Understanding with Large Language Models
Local Policies Enable Zero-shot Long-horizon Manipulation
Longitudinal Evaluation of Open-Source Software Maintainability
Advancing Bangla Machine Translation Through Informal Datasets
CHC-COMP 2023: Competition Report
PAINT: Parallel-in-time Neural Twins for Dynamical System Reconstruction
Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives
Tight analysis of lazy: an improved algorithm for open online dial-a-ride
Gaze estimation learning architecture as support to affective, social and cognitive studies in natural human-robot interaction
Social Influence (Deep) Learning for Human Behavior Prediction
Visual Position Prompt for MLLM based Visual Grounding
An Comparative Analysis about KYC on a Recommendation System Toward Agentic Recommendation System
Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data
Autonomy with regard to an Attribute
A near-optimal stochastic MIMO signal detection with a mixture of t-distribution prior
MSDF: A General Open-Domain Multi-Skill Dialog Framework
Joint Object and State Recognition using Language Knowledge
RAZE: Region Guided Self-Supervised Gaze Representation Learning
Increasing the Thinking Budget is Not All You Need
Community Detection with Node Attributes and its Generalization
A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows
Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification
Sky detection and log illumination refinement for PDE-based hazy image contrast enhancement
A Survey on Serverless Computing
Towards Enterprise-Ready Computer Using Generalist Agent
MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification
Parity in Markets - Methods, Costs, and Consequences
An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control
Overparameterized (robust) models from computational constraints
Class-Conditional Conformal Prediction With Many Classes
Registration by Regression (RbR): a framework for interpretable and flexible atlas registration
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion
Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data
MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
Deep Reinforcement Learning for Neural Control
A Data Mining Approach Combining K-Means Clustering with Bagging Neural Network for Short-term Wind Power Forecasting
Applications of artificial intelligence in drug development using real-world data
Information Set Decoding in the Lee Metric with Applications to Cryptography
A Precise Program Phase Identification Method Based on Frequency Domain Analysis
Observations of peak electric load growth in ERCOT with the rise of electrified heating and its implications for future resource planning
Metamorphic Moving Horizon Estimation
Neutone SDK: An Open Source Framework for Neural Audio Processing
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling
Equal Area Breaks: A Classification Scheme for Data to Obtain an Evenly-colored Choropleth Map
Few-shot Policy (de)composition in Conversational Question Answering
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection
On Skew-Symmetric Games
Reassessing Relationality for Bipolar Data
Software in P2P way: a software model without central software and enabling any software to join or leave freely
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks
Preparing Reproducible Scientific Artifacts using Docker
MDS Array Codes with Optimal Rebuilding
Safe and Robust Reinforcement Learning: Principles and Practice
Reconstructing Extended Perfect Binary One-Error-Correcting Codes from Their Minimum Distance Graphs
Do spectral cues matter in contrast-based graph self-supervised learning?
Zero-Shot Object Recognition System based on Topic Model
Stereo Co-capture System for Recording and Tracking Fish with Frame- and Event Cameras
Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Multipartite entangled states, symmetric matrices and error-correcting codes
Context Tree for Adaptive Session-based Recommendation
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
Modularizing Behavioral and Architectural Crosscutting Concerns in Formal Component-Based Systems - Application to the Behavior Interaction Priority Framework
Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language
A New Quantum Dempster Rule of Combination
Automatic Generation of C-code or PLD Circuits under SFC Graphical Environment
Detectable Quantum Byzantine Agreement for Any Arbitrary Number of Dishonest Parties
Visualizing spreading phenomena on complex networks
Robotic Non-Destructive Testing of Manmade Structures: A Review of the Literature
Scalable tensor methods for nonuniform hypergraphs
Regression Models for Output Prediction of Thermal Dynamics in Buildings
Symbol based convergence analysis in multigrid methods for saddle point problems
Enhancing the SVD Compression
Disentangling the sources of cyber risk premia
Learned Autoscaling for Cloud Microservices with Multi-Armed Bandits
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference
Topicality and Social Impact: Diverse Messages but Focused Messengers
Linearly implicit energy-preserving integrating factor methods for the 2D nonlinear Schrödinger equation with wave operator and convergence analysis
P$^2$-GAN: Efficient Style Transfer Using Single Style Image
PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic View
Graph-GAN: A spatial-temporal neural network for short-term passenger flow prediction in urban rail transit systems
ScreenerNet: Learning Curriculum for Neural Networks
Cumulative-Separable Codes
Analysis Plug-and-Play Methods for Imaging Inverse Problems
Improving Interpretability and Robustness for the Detection of AI-Generated Images
There exists no self-dual [24,12,10] code over F5
Artificial Potential Field and Sliding Mode Control for Spacecraft Attitude Maneuver with Actuation and Pointing Constraints
Permutation closure for multiple context-free languages
A Practitioner's Guide to Continual Multimodal Pretraining
A Method for Learning to Solve Parametric Bilevel Optimization with Coupling Constraints
If there is no underfitting, there is no Cold Posterior Effect
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions
SEGAA: A Unified Approach to Predicting Age, Gender, and Emotion in Speech
Edge Nearest Neighbor in Sampling-Based Motion Planning
RefAM: Attention Magnets for Zero-Shot Referral Segmentation
Optimisation of design parameters to improve performance of a planar electromagnetic actuator
Search Space of Adversarial Perturbations against Image Filters
Latent Augmentation For Better Graph Self-Supervised Learning
Classification of grapevine varieties using UAV hyperspectral imaging
Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction
Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays
Optimal rolling of fair dice using fair coins
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Using MLIR Transform to Design Sliced Convolution Algorithm
Guided Generation for Developable Antibodies
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
Algorithm-Induced Prior for Image Restoration
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search
Network analysis of the state space of chaotic map in digital domain
Power Controlled Adaptive Sum-Capacity of Fading MACs with Distributed CSI
A Compositional Coalgebraic Semantics of Strategic Games
Sign Rank Limitations for Attention-Based Graph Decoders
Benchmarking SLAM Algorithms in the Cloud: The SLAM Hive System
Generalizing the Kelly strategy
Parsimonious System Identification from Fragmented Quantized Measurements
The Semiotic Machine
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
Quantum Information splitting using a pair of {\it GHZ} states
Computational complexity and simulation of rare events of Ising spin glasses
Pairwise Markov Chains for Volatility Forecasting
From Instantaneous Schedulability to Worst Case Schedulability: A Significant Moment Approach
Cryptographic Strengthening of MST3 cryptosystem via Automorphism Group of Suzuki Function Fields
Energy-Efficient Design and Optimization of Wireline Access Networks
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track
Algebraic Quantum Synchronizable Codes
PIP-LLM: Integrating PDDL-Integer Programming with LLMs for Coordinating Multi-Robot Teams Using Natural Language
Degrees of randomized computability: decomposition into atoms
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
Towards Better Chain-of-Thought Prompting Strategies: A Survey
{Networks of Uniform Splicing Processors
HAMburger: Accelerating LLM Inference via Token Smashing
Capivara: A decentralized package version control using Blockchain
Adaptability and the Pivot Penalty in Science
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification
SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control
Secret Key Generation from Channel Noise with the Help of a Common Key
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors
CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
Argument-Based Comparative Question Answering Evaluation Benchmark