yusuke1997/dblp-id-title huggingface dataset:
Location of zeros for the partition function of the Ising model on bounded degree graphs
Linear Network Coding: Effects of Varying the Message Dimension on the Set of Characteristics
Do-calculus enables causal reasoning with latent variable models
Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAM
Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction
Gröbner Bases and Nullstellensätze for Graph-Coloring Ideals
A Fast Compiler for NetKAT
Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline
Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation
Fabula Entropy Indexing: Objective Measures of Story Coherence
A Message Passing based Adaptive PDA Algorithm for Robust Radio-based Localization and Tracking
Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting
Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents
New Insights into Involutory and Orthogonal MDS Matrices
COMPLEX-IT: A Case-Based Modeling and Scenario Simulation Platform for Social Inquiry
Handwritten Bangla Digit Recognition Using Deep Learning
The finest regular coarsening and recursively-regular subdivisions
Understanding Cross-Model Perceptual Invariances Through Ensemble Metamers
Masked Self-Supervised Pre-Training for Text Recognition Transformers on Large-Scale Datasets
Exploiting Primacy Effect To Improve Large Language Models
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
A User Study of Perceived Carbon Footprint
Flexible Control in Symbolic Music Generation via Musical Metadata
IGMaxHS - An Incremental MaxSAT Solver with Support for XOR Clauses
PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs
A General Lotto game with asymmetric budget uncertainty
TiQuant: Software for tissue analysis, quantification and surface reconstruction
Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis
Resource allocation for D2D-Based AMI Communications Underlaying LTE Cellular Networks
Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths
Entropy stable finite difference schemes for Chew, Goldberger & Low anisotropic plasma flow equations
Traffic Sign Detection and Classification around the World
Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization
Second-order Conditional Gradients
Propagating Semantic Labels in Video Data
G 2 xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
AC-Driven Series Elastic Electrohydraulic Actuator for Stable and Smooth Displacement Output
Follow the Curve: Robotic-Ultrasound Navigation with Learning Based Localization of Spinous Processes for Scoliosis Assessment
Trajectory tracking control of a Remotely Operated Underwater Vehicle based on Fuzzy Disturbance Adaptation and Controller Parameter Optimization
Pragmatic Constraint on Distributional Semantics
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation
Multigrid methods for 3D H(curl) problems with nonoverlapping domain decomposition smoothers
An arbitrary order locking-free weak Galerkin method for linear elasticity problems based on a reconstruction operator
Spatial Sensing and Cognitive Radio Communication in the Presence of A $K$-User Interference Primary Network
End-to-end Joint Rich and Normalized ASR with a limited amount of rich training data
Prompt Injection Attacks on Large Language Models in Oncology
Optimal transport for vector Gaussian mixture models
Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
Connectivity of Cognitive Radio Networks: Proximity vs. Opportunity
A Joint Communication and Computation Design for Semantic Wireless Communication with Probability Graph
DeepOpt: Scalable Specification-based Falsification of Neural Networks using Black-Box Optimization
Analysis of Test Efficiency during Software Development Process
A Type Theory for Strictly Associative Infinity Categories
Planar functions over fields of characteristic two
Towards a Holistic View on Argument Quality Prediction
Novel bi-objective optimization algorithms minimizing the max and sum of vectors of functions
Self-Supervised Learning of Dynamic Planar Manipulation of Free-End Cables
TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network
Protecting suppliers' private information: the case of stock levels and the impact of correlated items
Diffusion Models as Masked Audio-Video Learners
MECURY: Practical Cross-Chain Exchange via Trusted Hardware
Asymmetric Distillation Post-Segmentation Method for Image Anomaly Detection
Conditional Similarity Triplets Enable Covariate-Informed Representations of Single-Cell Data
Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning
New source, new possibilities: An exploratory study of Bluesky posts referencing scholarly articles
High-Performance Long-Term Tracking with Meta-Updater
Query Learning of Advice and Nominal Automata
Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning
DASN: Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation
DockerizeMe: Automatic Inference of Environment Dependencies for Python Code Snippets
Identifying biases in legal data: An algorithmic fairness perspective
Introducing V-Soft Pro: a Modular Platform for a Transhumeral Prosthesis with Controllable Stiffness
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
DiSE: A diffusion probabilistic model for automatic structure elucidation of organic compounds
Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis
Classification and Segmentation of Pulmonary Lesions in CT images using a combined VGG-XGBoost method, and an integrated Fuzzy Clustering-Level Set technique
Diffusion Models Meet Contextual Bandits with Large Action Spaces
Meta-Evaluating Local LLMs: Rethinking Performance Metrics for Serious Games
Approximability of the Vertex Cover Problem in Power Law Graphs
Network Representation and Modular Decomposition of Combinatorial Structures: A Galled-Tree Perspective
Bridging HPC Communities through the Julia Programming Language
Randomized approximate nearest neighbor search with limited adaptivity
Two-stage Optimization for Machine Learning Workflow
Low-complexity dynamic resource scheduling for downlink MC-NOMA over fading channels
Auxiliary Task-based Deep Reinforcement Learning for Quantum Control
Searching on Trees with Noisy Memory
ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content
A Passivity-Based Design for Stability and Robustness in Event-Triggered Networked Control Systems with Communication Delays, Signal Quantizations and Packet Dropouts
Chaos-guided Input Structuring for Improved Learning in Recurrent Neural Networks
Data-Dependent Regret Bounds for Constrained MABs
Research Topic Flows in Co-Authorship Networks
A COLREGs-Compliant Conflict Resolution Strategy for Autonomous Surface Vehicles
A Dirac-type Characterization of k-chordal Graphs
Certain t-partite graphs
Free Probability, Newton lilypads and Jacobians of neural networks
Dozerformer: Sequence Adaptive Sparse Transformer for Multivariate Time Series Forecasting
Confidence Sets for Multidimensional Scaling
Characterizing the integer points in 2-decomposable polyhedra by closedness under operations
The historical roots of iMetrics: Referenced Publication Years Spectroscopy (RPYS) routinized and applied to Scientometrics, Journal of Informetrics, and (a subset of) JASIST
Voter Model with Arbitrary Degree Dependence: Clout, Confidence and Irreversibility
Graph Neural Network for Crawling Target Nodes in Social Networks
Empirical Investigation into Configuring Echo State Networks for Representative Benchmark Problem Domains
ComReg: A Complex Network Approach to Prioritize Test Cases for Regression Testing
Photometric light curves classification with machine learning
Unsupervised routine discovery in egocentric photo-streams
The Influence of Teamwork Quality on Software Team Performance
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
Rediscovery of Numerical Lüscher's Formula from the Neural Network
Rule-based Knowledge Representation for Service Level Agreement
Neural Generalized Ordinary Differential Equations with Layer-varying Parameters
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
Reduced Softmax Unit for Deep Neural Network Accelerators
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning
Optimal local storage policy based on stochastic intensities and its large scale behavior
Visual Haystacks: Answering Harder Questions About Sets of Images
Evolving intraday foreign exchange trading strategies utilizing multiple instruments price series
End-to-End Supervised Multilabel Contrastive Learning
Quantum computing and artificial intelligence: status and perspectives
MBMF: Model-Based Priors for Model-Free Reinforcement Learning
A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method
Deep Learning on Real-World Graphs
Navigating the Serious Game Design Landscape: A Comprehensive Reference Document
Planar posets have dimension at most linear in their height
Azimuthal Anamorphic Ray-map for Immersive Renders in Perspective
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
Modelo de Evaluación Técnico-Económica de Tecnologías de Acceso / Model for Techno-Economic Assessment of Access Technologies. Doctoral Dissertation for PhD, Telecommunications Engineering (EECS)
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
Machine learning frontier orbital energies of nanodiamonds
Commonsense Knowledge from Scene Graphs for Textual Environments
A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S)
Linguistic Knowledge as Memory for Recurrent Neural Networks
The Social Life of Industrial Arms: How Arousal and Attention Shape Human-Robot Interaction
RGB Stream Is Enough for Temporal Action Detection
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
A diffusion-map-based algorithm for gradient computation on manifolds and applications
The Diagonalized Newton Algorithm for Nonnegative Matrix Factorization
Topology Optimization and 3D-printing of Large Deformation Compliant Mechanisms for Straining Biological Tissues
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web
PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs
Causal Sensitivity Identification using Generative Learning
Opportunistic Third-Party Backhaul for Cellular Wireless Networks
Degrees of Freedom of Interference Networks with Transmitter-Side Caches
Creating Hierarchical Dispositions of Needs in an Agent
Nested multi-instance classification
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
A Books Recommendation Approach Based on Online Bookstore Data
Using Knowledge Units of Programming Languages to Recommend Reviewers for Pull Requests: An Empirical Study
FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation
Renovo: A Sensor-Based Therapeutic System for Brachial Monoplegia
Beyond Diagonal RIS in Multiuser MIMO: Graph Theoretic Modeling and Optimal Architectures with Low Complexity
Uniform block diagonal preconditioners for divergence-conforming HDG Methods for the generalized Stokes problem and linear elasticity
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge
Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers
Neural networks for neurocomputing circuits: a computational study of tolerance to noise and activation function non-uniformity when machine learning materials properties
Leaf Image-based Plant Disease Identification using Color and Texture Features
Deep Dexterous Grasping of Novel Objects from a Single View
HUAP: Practical Attribute-based Access Control Supporting Hidden Updatable Access Policies for Resource-Constrained Devices
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models
Nonlinear material identification of heterogeneous isogeometric Kirchhoff-Love shells
Bilevel subsidy-enabled mobility hub network design with perturbed utility coalitional choice-based assignment
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification
Calibration of Neural Networks
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Constraint Satisfaction Approaches to Wordle: Novel Heuristics and Cross-Lexicon Validation
A Novel Noise Injection-based Training Scheme for Better Model Robustness
Universal Model for Paraphrasing - Using Transformation Based on a Defined Criteria
On the computation of Gröbner bases for pluriweighted-homogeneous systems
Robust simultaneous UWB-anchor calibration and robot localization for emergency situations
Data Dependent Randomized Smoothing
Physical Fault Injection and Side-Channel Attacks on Mobile Devices: A Comprehensive Survey
Framework for Dynamic Evaluation of Muscle Fatigue in Manual Handling Work
A survey on acoustic sensing
CRISTAL : A Practical Study in Designing Systems to Cope with Change
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling
The Distributions in Nature and Entropy Principle
Statistical Properties of Rankings in Sports and Games
Investigating the Synergistic Effects of Dropout and Residual Connections on Language Model Training
Comparing Deadlock-Free Session Typed Processes
System Reliability Engineering in the Age of Industry 4.0: Challenges and Innovations
Machine Learning for maximizing the memristivity of single and coupled quantum memristors
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store
Superadditivity in trade-off capacities of quantum channels
Scale invariant process regression
Latent Discrete Diffusion Models
LFFR: Logistic Function For (multi-output) Regression
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
Memory Warps for Learning Long-Term Online Video Representations
On the Stability of Networked Nonlinear Imaginary Systems with Applications to Electrical Power Systems
Extending the primal-dual 2-approximation algorithm beyond uncrossable set families
Probabilistic prototype models for attributed graphs
SoK: Liquid Staking Tokens (LSTs)
Quantum Annealing Algorithms for Boolean Tensor Networks
Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances
Level set-based shape optimization of deformable structures for manipulating sound propagation
Achieving Small World Properties using Bio-Inspired Techniques in Wireless Networks
mlr Tutorial
Avoiding discretization issues for nonlinear eigenvalue problems
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Contribution of the Extreme Term in the Sum of Samples with Regularly Varying Tail
Interleaving Large Language Models for Compiler Testing
Compound Krylov subspace methods for parametric linear systems
Weighted Relaxation for Multigrid Reduction in Time
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction
AnyCXR: Human Anatomy Segmentation of Chest X-ray at Any Acquisition Position using Multi-stage Domain Randomized Synthetic Data with Imperfect Annotations and Conditional Joint Annotation Regularization Learning
Machine Learning-Driven Process of Alumina Ceramics Laser Machining
Semantic Characterizations of General Belief Base Revision
Hotel Preference Rank based on Online Customer Review
LiDAR point-cloud processing based on projection methods: a comparison
Computer sciences and synthesis: retrospective and perspective
Modified BDF2 schemes for subdiffusion models with a singular source term
Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
Extreme Amodal Face Detection
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021
Who Said Neural Networks Aren't Linear?
SafeJS: Hermetic Sandboxing for JavaScript
CLIP-based Point Cloud Classification via Point Cloud to Image Translation
Modeling Systems with Machine Learning based Differential Equations
FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI
Volume-preserving physics-informed geometric shape optimization of the Dirichlet energy
An Analysis of Capacity-Distortion Trade-Offs in Memoryless ISAC Systems
Muon Trigger for Mobile Phones
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework
On the dynamics of multi agent nonlinear filtering and learning
STEMS: Spatial-Temporal Enhanced Safe Multi-Agent Coordination for Building Energy Management
Architecture of a Cortex Inspired Hierarchical Event Recaller
Memory Under Siege: A Comprehensive Survey of Side-Channel Attacks on Memory
A Comprehensive study of a New Multipath Energy Aware Routing Protocol for Mobile Ad-hoc Networks
Sentiment Classification in Bangla Textual Content: A Comparative Study
A Design Space for the Critical Validation of LLM-Generated Tabular Data
Active Tactile Exploration for Rigid Body Pose and Shape Estimation
Rethinking Round-trip Translation for Automatic Machine Translation Evaluation
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder
MARTSIA: Enabling Data Confidentiality for Blockchain-based Process Execution
From ductile damage to unilateral contact via point-wise implicit discontinuity at the infinitesimal element level
LLM-based Personalized Portfolio Recommender: Integrating Large Language Models and Reinforcement Learning for Intelligent Investment Strategy Optimization
Multi-Stage Speech Bandwidth Extension with Flexible Sampling Rate Control
A Case for AI Safety via Law
Ensemble model for pre-discharge icd10 coding prediction
An expert-driven data generation pipeline for histological images
Pattern formation in vector-valued phase fields under convex constraints
Optimal Contest Design with Entry Restriction
LEAST: a Low-Energy Adaptive Scalable Tree-based routing protocol for Wireless Sensor Networks
Trace-Based Reconstruction of Quantum Circuit Dataflow in Surface Codes
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
Evaluation of Large Language Models for Numeric Anomaly Detection in Power Systems
Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network
Beyond Expected Goals: A Probabilistic Framework for Shot Occurrences in Soccer
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
The Case for a Horizontal Federated AI operating System for Telcos
On Expanded Cyclic Codes
On the stability of deep convolutional neural networks under irregular or random deformations
MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
AutoMR: A Universal Time Series Motion Recognition Pipeline
Cloud-based Evolutionary Algorithms: An algorithmic study
Symmetry Group of Ordered Hamming Block Space
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
Repurposing Synthetic Data for Fine-grained Search Agent Supervision
Investigating Political Participation and Social Information Using Big Data and a Natural Experiment
A Survey on Technological Trends to Enhance Spectrum Efficiency in 6G Communications
Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
Introducing AI to an Online Petition Platform Changed Outputs but not Outcomes
Dialectical Multispectral Classification of Diffusion-Weighted Magnetic Resonance Images as an Alternative to Apparent Diffusion Coefficients Maps to Perform Anatomical Analysis
Towards Predicting First Daily Departure Times: a Gaussian Modeling Approach for Load Shift Forecasting
Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models
Accurate Bidiagonal Decomposition and Computations with Generalized Pascal Matrices
Quantitative Reachability Stackelberg-Pareto Synthesis is NEXPTIME-Complete
Toward a Cognitive-Affective-Systemic Framework for Art and Sustainability
LeanConjecturer: Automatic Generation of Mathematical Conjectures for Theorem Proving
A Contrastive Diffusion-based Network (CDNet) for Time Series Classification
Detection of decision-making manipulation in the pairwise comparisons method
The world as its own best controller: a case study with anthropomimetic robots
Spatial-Temporal Person Re-identification
Towards human performance on automatic motion tracking of infant spontaneous movements
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Ctrl-Z: Recovering from Instability in Reinforcement Learning
SoK: A cloudy view on trust relationships of CVMs - How Confidential Virtual Machines are falling short in Public Cloud
Students Behavioural Analysis in an Online Learning Environment Using Data Mining (ICIAfS)
Self-Controlled Dynamic Expansion Model for Continual Learning
Spectral Volume from a DG perspective: Oscillation Elimination, Stability, and Optimal Error Estimates
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies
XPath-Logic and XPathLog: A Logic-Programming Style XML Data Manipulation Language
Unraveling the geometry of visual relational reasoning
Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism
Depolarising Social Networks: Optimisation of Exposure to Adverse Opinions in the Presence of a Backfire Effect
Backdoor Attacks for In-Context Learning with Language Models
Inventions on Displaying and Resizing Windows
A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search
Future Link Prediction Without Memory or Aggregation
FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading
Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research
A Note on Statistically Accurate Tabular Data Generation Using Large Language Models
Deep Visual Perception for Dynamic Walking on Discrete Terrain
An adaptive finite element PML method for the open cavity scattering problems
Weakly-Supervised Surgical Phase Recognition
Parameter-free version of Adaptive Gradient Methods for Strongly-Convex Functions
Underwater motions analysis and control of a coupling-tiltable unmanned aerial-aquatic quadrotor
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
Accelerating Geometric Multigrid Preconditioning with Half-Precision Arithmetic on GPUs
An Explorative Study of Pig Butchering Scams
Improving Online Bagging for Complex Imbalanced Data Stream
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy
CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation
HetEng: An Improved Distributed Energy Efficient Clustering Scheme for Heterogeneous IoT Networks
Randomness and isometries in echo state networks and compressed sensing