yusuke1997/dblp-id-title huggingface dataset:
Scalable Isocontour Visualization in Road Networks via Minimum-Link Paths
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference
Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change
Towards Precise Intra-camera Supervised Person Re-identification
Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection
Combinatorial Auctions with Online XOS Bidders
Energy-Efficient Classification for Anomaly Detection: The Wireless Channel as a Helper
Why FHilb is Not an Interesting (Co)Differential Category
Refined bounds for randomized experimental design
Multi-Attributed and Structured Text-to-Face Synthesis
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Learning over Multitask Graphs - Part I: Stability Analysis
Region-to-Region: Enhancing Generative Image Harmonization with Adaptive Regional Injection
Monolingual Recognizers Fusion for Code-switching Speech Recognition
Amortized Variational Deep Q Network
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain
Skywork UniPic 2.0: Building Kontext Model with Online RL for Unified Multimodal Model
Optimal Key Rates for Decentralized Secure Aggregation with Arbitrary Collusion and Heterogeneous Security Constraints
Fixed Order Scheduling with Deadlines
Weighted k -Path and Other Problems in Almost O * (2 k ) Deterministic Time via Dynamic Representative Sets
Automatic normal orientation in point clouds of building interiors
CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction
Resilient Composition of Drone Services for Delivery
Meta-Object: Interactive and Multisensory Virtual Object Learned from the Real World for the Post-Metaverse
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
Business Process Full Compliance with Respect to a Set of Conditional Obligation in Polynomial Time
Assessing the societal influence of academic research with ChatGPT: Impact case study evaluations
Robust Line Segments Matching via Graph Convolution Networks
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
Playing Text-Based Games with Common Sense
Classification of Dysarthria based on the Levels of Severity. A Systematic Review
Understanding Automatic Differentiation Pitfalls
Privacy Preserving Techniques Applied to CPNI Data: Analysis and Recommendations
Shadoks Approach to Knapsack Polygonal Packing
Model-based Offline Quantum Reinforcement Learning
Quasi-Monte Carlo and importance sampling methods for Bayesian inverse problems
Fading Broadcast Channels with State Information at the Receivers
A Data-Based Architecture for Flight Test without Test Points
OmniReason: A Temporal-Guided Vision-Language-Action Framework for Autonomous Driving
Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
Time-step Mixup for Efficient Spiking Knowledge Transfer from Appearance to Event Domain
A Survey on Document-level Machine Translation: Methods and Evaluation
Refined Continuous Control of DDPG Actors via Parametrised Activation
Research on the Acoustic Emission Source Localization Methodology in Composite Materials based on Artificial Intelligence
Eye-Tracking Metrics for Task-Based Supervisory Control
Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model
Dynamic Network: Graphical Deformation of Penetrated Objects
Plug-and-Play Image Restoration with Deep Denoiser Prior
Algorithmic Structure in Subset Sum: Deterministic In-Bound Navigation and the Counting Complexity Divide
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
Fighter flight trajectory prediction based on spatio-temporal graphcial attention network
Connectivity Learning in Multi-Branch Networks
Heteromated Decision-Making: Integrating Socially Assistive Robots in Care Relationships
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning
Pointwise adaptation via stagewise aggregation of local estimates for multiclass classification
Incorporating Betweenness Centrality in Compressive Sensing for Congestion Detection
Dynamical low-rank approximation of the Vlasov-Poisson equation with piecewise linear spatial boundary
SingVERSE: A Diverse, Real-World Benchmark for Singing Voice Enhancement
Can LLMs Write CI? A Study on Automatic Generation of GitHub Actions Configurations
Nonlinear Monolithic Two-Level Schwarz Methods for the Navier-Stokes Equations
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness
Harmonic algorithms for packing d-dimensional cuboids into bins
Learning to Place Unseen Objects Stably using a Large-scale Simulation
DeepMVS: Learning Multi-view Stereopsis
Simulating Relational Event Histories - Why and How
TS-HINT: Enhancing Semiconductor Time Series Regression Using Attention Hints From Large Language Model Reasoning
Ask, Answer, and Detect: Role-Playing LLMs for Personality Detection with Question-Conditioned Mixture-of-Experts
Beyond low-inertia systems: Massive integration of grid-forming power converters in transmission grids
Quantitative Security Analysis for Multi-threaded Programs
A Slightly Improved Bound for the KLS Constant
Towards Realistic Landmark-Guided Facial Video Inpainting Based on GANs
Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science
CPP-DIP: Multi-objective Coverage Path Planning for MAVs in Dispersed and Irregular Plantations
Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling
Recent trends in Social Engineering Scams and Case study of Gift Card Scam
Optimal Spline Trajectories by Modelling Kinematic Constraints in Robot Soccer
Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer
Achievable information rates estimates in optically-amplified transmission systems using nonlinearity compensation and probabilistic shaping
Towards Nepali-language LLMs: Efficient GPT training with a Nepali BPE tokenizer
Object-Part Attention Driven Discriminative Localization for Fine-grained Image Classification
Identifying Topology of Power Distribution Networks Based on Smart Meter Data
Large Language Model Enabled Multi-Task Physical Layer Network
Distributed matrix multiplication with straggler tolerance using algebraic function fields
Performance of Local Information Based Link Prediction: A Sampling Perspective
Video Processing for Barycenter Trajectory Identification in Diving
On the Classification of Dillon's APN Hexanomials
Equilibria analysis of a networked bivirus epidemic model using Poincaré-Hopf and Manifold Theory
The false myth of the rise in self-citations, and the impressively positive effect of bibliometric evaluations on the increase of the impact of Italian research
A Complex Network based Graph Embedding Method for Link Prediction
Machine Learning for Complex Systems with Abnormal Pattern by Exception Maximization Outlier Detection Method
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
Authorship attribution for Differences between Literary Texts by Bilingual Russian-French and Non-Bilingual French Authors
Optimal linear estimation under unknown nonlinear transform
Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics
Towards a conjecture of Woodall for partial 3-trees
Path Planning with Kinematic Constraints for Robot Groups
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning
On conditions for ρ-value is 1 or not of complete family of pairing-friendly elliptic curves
A Data as a Service (DaaS) Model for GPU-based Data Analytics
Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games
Near Optimal Sized Weight Tolerant Subgraph for Single Source Shortest Path
Weakening the Detecting Capability of CNN-based Steganalysis
Optimal Localization of Diffusion Sources in Complex Networks
Dynamic Programming for Pure-Strategy Subgame Perfection in an Arbitrary Game
V2X-DGPE: Addressing Domain Gaps and Pose Errors for Robust Collaborative 3D Object Detection
Towards Generalizable Semantic Product Search by Text Similarity Pre-training on Search Click Logs
SignsWorld; Deeping Into the Silence World and Hearing Its Signs (State of the Art)
Facilitation of human empathy through self-disclosure of anthropomorphic agents
Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking
Are classical neural networks quantum?
Multi-label Classification with High-rank and High-order Label Correlations
Tsnnls: A solver for large sparse least squares problems with non-negative variables
Test-time augmentation improves efficiency in conformal prediction
Lossless Coding of Correlated Sources with Actions
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI
LongFuncEval: Measuring the effectiveness of long context models for function calling
Characterizing Quantifier Fuzzification Mechanisms: a behavioral guide for practical applications
An Improved Quadrature Voltage-Controlled Oscillator with Through-Silicon-Via Inductor in Three-dimensional Integrated Circuits
Embarassingly Simple Dataset Distillation
Metric Learning for Projections Bias of Generalized Zero-shot Learning
AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference
Security of Cloud Services with Low-Performance Devices in Critical Infrastructures
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation
Towards identifying possible fault-tolerant advantage of quantum linear system algorithms in terms of space, time and energy
Fast-moving object counting with an event camera
Cognitive Effort Measures Driven by Fixation Induced Retinal Flow in Visual Scanning Behavior during Virtual Driving
Covariance within Random Integer Compositions
Recognizing Partial Biometric Patterns
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
Multiview Deep Learning for Predicting Twitter Users' Location
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types
Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks
Anomaly detection through latent space restoration using vector-quantized variational autoencoders
Model-based annotation of coreference
Disjunctive ASP with Functions: Decidable Queries and Effective Computation
Multi-Domain Dialogue State Tracking based on State Graph
Emotion Recognition Through Observer's Physiological Signals
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution Shifts
Authorship Analysis of Xenophon's Cyropaedia
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks
Kernel Methods in the Deep Ritz framework: Theory and practice
Judge a Sentence by Its Content to Generate Grammatical Errors
How Much Hate with #china? A Preliminary Analysis on China-related Hateful Tweets Two Years After the Covid Pandemic Began
Layerwise computability and image randomness
MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System
Audio-based identification of beehive states
Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure
Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers
The development of a portable elbow exoskeleton with a Twisted Strings Actuator to assist patients with upper limb inhabitation
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks
GRASP: Graph Alignment through Spectral Signatures
Diseño de un controlador de ángulo en un balancín
A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment
Study on Autonomous Gravity-assists with a Path-following Control
Adaptive Frequency Domain Detectors for SC-FDE in Multiuser DS-UWB Systems with Structured Channel Estimation and Direct Adaptation
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Compressed Hypothesis Testing: to Mix or Not to Mix?
FIFA ranking: Evaluation and path forward
Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
Dataset Ownership Verification for Pre-trained Masked Models
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks
Fast computation of permanents over 𝔽 3 via 𝔽 2 arithmetic
Large Teams Have Developed Science and Technology; Small Teams Have Disrupted It
LRMP: Layer Replication with Mixed Precision for Spatial In-memory DNN Accelerators
On The Power of Subtle Expressive Cues in the Perception of Human Affects
Recurrent Neural Networks for Semantic Instance Segmentation
On minimal free resolutions and the method of shifted partial derivatives in complexity theory
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs
Probabilistic cellular automata and random fields with i.i.d. directions
Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models
Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction
Spatio-temporal characterisation of underwater noise through semantic trajectories
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
A periodic FM-BEM for solving the acoustic transmission problems in periodic media
Quasi-random Multi-Sample Inference for Large Language Models
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
Sequential Complexity as a Descriptor for Musical Similarity
Causal Repair of Learning-enabled Cyber-physical Systems
A Greedy Search Tree Heuristic for Symbolic Regression
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Generative AI as Digital Representatives in Collective Decision-Making: A Game-Theoretical Approach
Work Capacity of Freelance Markets: Fundamental Limits and Decentralized Schemes
A Generalisation of the Secant Criterion
Koopman-Based Bound for Generalization: New Aspect of Neural Networks Regarding Nonlinear Noise Filtering
NOMA in Distributed Antenna System for Max-Min Fairness and Max-Sum-Rate
Ideas from Developmental Robotics and Embodied AI on the Questions of Ethics in Robots
Multi-Timescale Model Predictive Control for Slow-Fast Systems
Discovering Interpretable Ordinary Differential Equations from Noisy Data
Beurling-type density criteria for system identification
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
Deep Equilibrium Multimodal Fusion
Enhancing Transformer with GNN Structural Knowledge via Distillation: A Novel Approach
Common transversals and tangents to two lines and two quadrics in P 3
A high-order residual-based viscosity finite element method for the ideal MHD equations
Learned Interpretable Residual Extragradient ISTA for Sparse Coding
Data Allocation in a Heterogeneous Disk Array - HDA with Multiple RAID Levels for Database Applications
A Novel Task-Driven Diffusion-Based Policy with Affordance Learning for Generalizable Manipulation of Articulated Objects
RACS and SADL: Towards Robust SMR in the Wide-Area Network
HEVC Inter Coding Using Deep Recurrent Neural Networks and Artificial Reference Pictures
Modular Type-Safety Proofs using Dependant Types
Quantum-informed simulations for mechanics of materials: DFTB+MBD framework
Bounds for the Sum Capacity of Binary CDMA Systems in Presence of Near-Far Effect
Feedback Matters: Augmenting Autonomous Dissection with Visual and Topological Feedback
An Extended Survey and a Comparison Framework for Dataflow Models of Computation and Communication
Toward Few-step Adversarial Training from a Frequency Perspective
IoT Coverage Enhancement using Repetition in Energy Constrained Devices: an Analytic Approach
User Dependent Features in Online Signature Verification
CLUENet: Cluster Attention Makes Neural Networks Have Eyes
Oblivious Deletion Codes
Evolving Neural Architecture Using One Shot Model
Sampling and Recovery of Graph Signals based on Graph Neural Networks
Suppression and Regulation of Thermal Birefringence in Optical Voltage Sensor with Isomerism Electrodes and Arbitrary Electric Field Direction Modulation
Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package
Optimal robust exact first-order differentiators with Lipschitz continuous output
HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data
xLED: Covert Data Exfiltration from Air-Gapped Networks via Router LEDs
Energy Harvesting Communications under Explicit and Implicit Temperature Constraints
GraphEnet: Event-driven Human Pose Estimation with a Graph Neural Network
Preliminary result on stochastic system control theory for aperiod sample-data systems
Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
Is two greater than one?: Analyzing Multipath TCP over Dual-LTE in the Wild
VENOMAVE: Clean-Label Poisoning Against Speech Recognition
Federated cINN Clustering for Accurate Clustered Federated Learning
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization
Large Language Models and Emergence: A Complex Systems Perspective
Bounding the Interleaving Distance for Geometric Graphs with a Loss Function
Compressive Imaging via Approximate Message Passing with Image Denoising
Entanglement-assisted quantum low-density parity-check codes
Cooperative Abnormality Detection via Diffusive Molecular Communications
Investigating the Properties of Neural Network Representations in Reinforcement Learning
GAMA: A Novel Algorithm for Non-Convex Integer Programs
Self-organizing traffic lights: A realistic simulation
Next-Flow: Hybrid Multi-Tasking with Next-Frame Prediction to Boost Optical-Flow Estimation in the Wild
Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment
Macroscopic Noisy Bounded Confidence Models with Distributed Radical Opinions
Towards a unified framework for programming paradigms: A systematic review of classification formalisms and methodological foundations
Nonlinear Voltage Regulation of an Auxiliary Energy Storage of a Multiport Interconnection
SABLE: Staging Blocked Evaluation of Sparse Matrix Computations
Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
Label-Efficient Chest X-ray Diagnosis via Partial CLIP Adaptation
DART-Vetter: A Deep LeARning Tool for automatic triage of exoplanet candidates
Some properties of the solution of the vertical tensor complementarity problem
Metrology and Manufacturing-Integrated Digital Twin (MM-DT) for Advanced Manufacturing: Insights from CMM and FARO Arm Measurements
Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods
Comparative Evaluation of Generative AI Models for Chest Radiograph Report Generation in the Emergency Department
A Note On Symmetric Positive Definite Preconditioners for Multiple Saddle-Point Systems
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning
SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning
Optimizing AI for Teamwork
Automated Database Indexing using Model-free Reinforcement Learning
Learning Type-Driven Tensor-Based Meaning Representations
From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
Shared Control with Black Box Agents using Oracle Queries
Information Entropy Invariance: Enhancing Length Extrapolation in Attention Mechanisms
Self-Improving Visual Odometry
Music for All: Exploring Multicultural Representations in Music Generation Models
A Riemannian gossip approach to decentralized matrix completion
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees
On the Automated Synthesis of Enterprise Integration Patterns to Adapt Choreography-based Distributed Systems
Large-scale road network partitioning: a deep learning method based on convolutional autoencoder model
UpStory: the Uppsala Storytelling dataset
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Evolutionary Conflict Checking
LANet: A Lane Boundaries-Aware Approach For Robust Trajectory Prediction
Byzantine-Resilient Locally Optimum Detection Using Collaborative Autonomous Networks
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs
Extracting Qualitative Causal Structure with Transformer-Based NLP
Black Big Boxes: Do Language Models Hide a Theory of Adjective Order?
Trigonometric splines in spectral problems
Unified Bayesian Frameworks for Multi-criteria Decision-making
Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems
Semi-Autoregressive Training Improves Mask-Predict Decoding
Gameplay experience in a gaze interaction game
Dynamic Network-Code Design for Satellite Networks
Multi-View Matrix Completion for Multi-Label Image Classification
Minimax Optimal Kernel Two-Sample Tests with Random Features
An efficient null space inexact Newton method for hydraulic simulation of water distribution networks
Hefty: A Modular Reconfigurable Robot for Advancing Robot Manipulation in Agriculture
European Quantum Ecosystems - Preparing the Industry for the Quantum Security and Communications Revolution
Noise-based information processing: Noise-based logic and computing: what do we have so far?
Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation
Publication Trend in an Indian Journal and a Pakistan Journal: A Comparative Analysis using Scientometric Approach
MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning
Region Rebalance for Long-Tailed Semantic Segmentation
Bayesian Robustness: A Nonasymptotic Viewpoint
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding
Deep Learning Models for Coral Bleaching Classification in Multi-Condition Underwater Image Datasets
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
Balancing covariates in randomized experiments using the Gram-Schmidt walk
Multiple Physics Pretraining for Physical Surrogate Models
Product Review Summarization based on Facet Identification and Sentence Clustering
Multi-Output Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Uncertainties
A Survey on Memory-Efficient Large-Scale Model Training in AI for Science
Evaluating LLM Understanding via Structured Tabular Decision Simulations
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty
Faster Fuzzing: Reinitialization with Deep Neural Models
Exploiting Path Information for Anchor Based Graph Neural Network
Verification of Continuous-time Markov Chains
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval
Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization
Graph Reinforcement Learning for Predictive Power Allocation to Mobile Users
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
Hacia los Comités de Ética en Inteligencia Artificial
Measurement-based Initial Point Smoothing and Control Approach to Quantum Memory Systems