yusuke1997/dblp-id-title huggingface dataset:
On the Performance of Joint Fingerprint Embedding and Decryption Scheme
An Efficient Communication Protocol for FPGA IP Protection
The Structure of Narrative: the Case of Film Scripts
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation
Distributed Large Scale Network Utility Maximization
Long-time limit of world subway networks
Adjacency constraint for efficient hierarchical reinforcement learning
Distributed matrix multiplication with straggler tolerance over very small field
Matematika 1
Optimal linear codes, constant-weight codes and constant-composition codes over $\Bbb F_{q}$
The Rendezvous Between Extreme Value Theory and Next-generation Networks
Epistemic Protocols for Distributed Gossiping
Information Theoretic Co-Training
Multirotor Newton-Euler and Euler-Lagrange Modeling Equivalence
Can Machine Learning Agents Deal with Hard Choices?
Paths Beyond Local Search: A Nearly Tight Bound for Randomized Fixed-Point Computation
Universal sampling discretization
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs
Comparison of Localization Algorithms between Reduced-Scale and Real-Sized Vehicles Using Visual and Inertial Sensors
Explaining Decisions in ML Models: a Parameterized Complexity Analysis
Underactuated Biomimetic Autonomous Underwater Vehicle for Ecosystem Monitoring
Safety Alignment for Vision Language Models
Digital Socrates: Evaluating LLMs through explanation critiques
Identity Preserving 3D Head Stylization with Multiview Score Distillation
Energy Harvesting Broadband Communication Systems with Processing Energy Cost
BERTTM: Leveraging Contextualized Word Embeddings from Pre-trained Language Models for Neural Topic Modeling
How to Train a Model on a Cheap Cluster with Low Cost using Block Coordinate Descent
Online Correlation Clustering for Dynamic Complete Signed Graphs
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization
Isometry-Dual Flags of AG Codes
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images
Multi-Label Stereo Matching for Transparent Scene Depth Estimation
A Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content Distribution
Investigating Expectation Violations in Mobile Apps
The Provenance Problem: LLMs and the Breakdown of Citation Norms
An Adaptive Orthogonal Basis Method for Computing Multiple Solutions of Differential Equations with polynomial nonlinearities
A continuous approach for computing the pseudospectra of linear operators
Sparsifying Transformer Models with Differentiable Representation Pooling
Topology, dynamics, and control of an octopus-analog muscular hydrostat
A Foundational Multimodal Vision Language AI Assistant for Human Pathology
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI
PFD or PDF: Rethinking the Probability of Failure in Mitigation Safety Functions
When Brain-inspired AI Meets AGI
Singular Diffusion with Neumann boundary conditions
Predicting Agricultural Commodities Prices with Machine Learning: A Review of Current Research
ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces
Benchmarking Multimodal Large Language Models for Face Recognition
Scientometric Analysis of the German IR Community within TREC & CLEF
LifeStream: A High-performance Stream Processing Engine for Waveform Data
Handling Confidential Data on the Untrusted Cloud: An Agent-based Approach
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study
UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting
A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features
Design of Block Transceivers with Decision Feedback Detection
Application of time-series quantum generative model to financial data
Walk the Robot: Exploring Soft Robotic Morphological Communication driven by Spiking Neural Networks
Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack
LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization
Non-Linear Least-Squares Optimization of Rational Filters for the Solution of Interior Eigenvalue Problems
Extreme value forecasting using relevance-based data augmentation with deep learning models
Towards the Modeling of Behavioral Trajectories of Users in Online Social Media
Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Regularity and stability of feedback relaxed controls
Going beneath the shoulders of giants: tracking the cumulative knowledge spreading in a comprehensive citation network
Automatic Identification of Retinal Arteries and Veins in Fundus Images using Local Binary Patterns
Aging, double helix and small world property in genetic algorithms
JSAI: Designing a Sound, Configurable, and Efficient Static Analyzer for JavaScript
Semantic Scene Completion with Multi-Feature Data Balancing Network
The Three-Receiver Broadcast Channel with Degraded Message Sets and Confidential Messages
Consistent Sampling with Replacement
Semilinear elliptic eigenvalue problem: Parametric analyticity and the uncertainty quantification
Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground
Learning from students' perception on professors through opinion mining
Fail Fast - Fail Often: Enhancing Agile Methodology using Dynamic Regression, Code Bisector and Code Quality in Continuous Integration (CI)
Sharper Bounds for Regression and Low-Rank Approximation with Regularization
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Protection of DVB Systems by Trusted Computing
Hazel Deriver: A Live Editor for Constructing Rule-Based Derivations
Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains
Computational Math with Neural Networks is Hard
Unconditionally energy stable DG schemes for the Swift-Hohenberg equation
Dynamic Control for Random Access in Deadline-Constrained Broadcasting
Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments
Repairing Pronouns in Translation with BERT-Based Post-Editing
Placing Grid-Forming Converters to Enhance Small Signal Stability of PLL-Integrated Power Systems
Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding
JAEGER: Dual-Level Humanoid Whole-Body Controller
Nonlinear regimes of the electron cyclotron drift instability in Vlasov simulations
Predicting risk of cardiovascular disease using retinal OCT imaging
Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective
SHREC 2020 track: 6D Object Pose Estimation
Objective, Absolute and Hue-aware Metrics for Intrinsic Image Decomposition on Real-World Scenes: A Proof of Concept
An Accurate Interconnect Test Structure for Parasitic Validation in On-Chip Machine Learning Accelerators
FRTRUST: a fuzzy reputation based model for trust management in semantic P2P grids
Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data
Maximum entropy low-rank matrix recovery
G 1 hole filling with S-patches made easy
Multi-Execution Lattices Fast and Slow
Primal-dual distance bounds of linear codes with application to cryptography
Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspective
A Reputation-based Stackelberg Game Model to Enhance Secrecy Rate in Spectrum Leasing to Selfish IoT Devices
Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
Accident Anticipation via Temporal Occurrence Prediction
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding
The Implicit Barrier of Utility Maximization: An Interior-Point Approach for Market Equilibria
Domain Specific Hierarchical Huffman Encoding
If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs
The Ballad of the Bots: Sonification Using Cognitive Metaphor to Support Immersed Teleoperation of Robot Teams
Competent Discrete Time Modeling For analogue controlled PWM Converter Considering State-Feedback
Simple deterministic O(n log n) algorithm finding a solution of Erdős-Ginzburg-Ziv theorem
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insight
Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations
UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis
On a logical model of combinatorial problems
Complete Neural Networks for Euclidean Graphs
Relaying in Diffusion-Based Molecular Communication
MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment
Stochastic Separation Theorems
Using Similarity to Evaluate Factual Consistency in Summaries
Conformal inference for regression on Riemannian Manifolds
Synergistic Global-space Camera and Human Reconstruction from Videos
Belief Updating by Enumerating High-Probability Independence-Based Assignments
Higher-Order Constrained Horn Clauses and Refinement Types
GUARD: Toward a Compromise between Traditional Control and Learning for Safe Robot Systems
Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders
Resource Efficient Perception for Vision Systems
Topological Representation of the Transit Sets of k-Point Crossover Operators
Solving Bayesian Network Structure Learning Problem with Integer Linear Programming
Improving Vision Transformers by Overlapping Heads in Multi-Head Self-Attention
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
Contrastive Embeddings for Neural Architectures
An elementary proof of a universal approximation theorem
A virtual element-based flux recovery on quadtree
A Robust Asynchronous Newton Method for Massive Scale Computing Systems
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)
Stiffness Analysis of Parallel Manipulators with Preloaded Passive Joints
Minimum-Length Coordinated Motions For Two Convex Centrally-Symmetric Robots
Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks
Toward Textual Internet Immunity
ReactEmbed: A Cross-Domain Framework for Protein-Molecule Representation Learning via Biochemical Reaction Networks
Using Gaussian Processes for Rumour Stance Classification in Social Media
The Topology and Geometry of Neural Representations
DuctTeip: An efficient programming model for distributed task based parallel computing
Symbolic Music Generation with Fine-grained Interactive Textural Guidance
GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models
Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline
On the infeasibility of analysing worst-case dynamic energy
A Case Study on Data Acquisition Systems: Relevance to Renewable Energy Technologies
Algorithmic statistics: forty years later
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
On the relationship between speech and hearing
A Note on Spectral Clustering and SVD of Graph Data
A Huffman based short message service compression technique using adjacent distance array
Overlapping Mixtures of Gaussian Processes for the Data Association Problem
Beyond Worst-Case Subset Sum: An Adaptive, Structure-Aware Solver with Sub-2 n/2 Enumeration
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
Taking A Closer Look at Interacting Objects: Interaction-Aware Open Vocabulary Scene Graph Generation
Non-linear growth and condensation in multiplex networks
Does the 𝓁 1 -norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture
SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo
ScRPO: From Errors to Insights
Learning Operations on a Stack with Neural Turing Machines
Secure SAML validation to prevent XML signature wrapping attacks
LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation
AGNet: Weighing Black Holes with Machine Learning
Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search
An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments
Comparative Study of MPPT and Parameter Estimation of PV cells
Expansion of the Kullback-Leibler Divergence, and a new class of information metrics
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
Large Language Models for Ingredient Substitution in Food Recipes using Supervised Fine-tuning and Direct Preference Optimization
Sparsely ensembled convolutional neural network classifiers via reinforcement learning
Constraint-based recommender system for crisis management simulations
Practical approximate projection schemes in greedy signal space methods
Language Models are Multilingual Chain-of-Thought Reasoners
A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection
Recklessly Approximate Sparse Coding
Spam Prevention Using zk-SNARKs for Anonymous Peer-to-Peer Content Sharing Systems
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks
WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems
Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations
Calibrated Prediction Set in Fault Detection with Risk Guarantees via Significance Tests
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures
A package TESTAS for checking some kinds of testability
Deep learning enhanced Rydberg multifrequency microwave recognition
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory
PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks
Greedy Algorithms for Approximating the Diameter of Machine Learning Datasets in Multidimensional Euclidean Space
Machine Learning for Classification of Protein Helix Capping Motifs
To Be or Not To Be: Vector ontologies as a truly formal ontological framework
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs
Weight Distributions of Hamming Codes (II)
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
Force Myography based Torque Estimation in Human Knee and Ankle Joints
A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks
Visualization of rank-citation curves for fast detection of h-index anomalies in university metrics
Computerization of Clinical Pathways: A Literature Review and Directions for Future Research
FocusFormer: Focusing on What We Need via Architecture Sampler
When Should Users Check? A Decision-Theoretic Model of Confirmation Frequency in Multi-Step AI Agent Tasks
Age of Information with Age-Dependent Server Selection
Performance Analysis of Adaptive Physical Layer Network Coding for Wireless Two-way Relaying
Investigating LLM Applications in E-Commerce
Collaboration Planning of Stakeholders for Sustainable City Logistics Operations
Good-for-MDP State Reduction for Stochastic LTL Planning
An Evaluation of Link Neighborhood Lexical Signatures to Rediscover Missing Web Pages
Subsetwise and Multi-Level Additive Spanners with Lightness Guarantees
Evaluating kernels on Xeon Phi to accelerate Gysela application
Blind Multi-user Detection for Autonomous Grant-free High-Overloading MA without Reference Signal
On Random Linear Network Coding for Butterfly Network
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data
Semantic Advertising
Universal Value-Function Uncertainties
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
Medley2K: A Dataset of Medley Transitions
Adaptive Resource Allocation in Jamming Teams Using Game Theory
DragNeXt: Rethinking Drag-Based Image Editing
The ArtBench Dataset: Benchmarking Generative Models with Artworks
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features
Computation of Trusted Short Weierstrass Elliptic Curves for Cryptography
Hierarchical Spatial-Frequency Aggregation for Spectral Deconvolution Imaging
A Two-Step High-Order Compact Scheme for the Laplacian Operator and its Implementation in an Explicit Method for Integrating the Nonlinear Schrödinger Equation
Towards minimax optimal algorithms for Active Simple Hypothesis Testing
Mapping Generative Models onto Networks of Digital Spiking Neurons
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation
Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras
Channel Capacity under General Nonuniform Sampling
TDD Without Tears: Towards Test Case Generation from Requirements through Deep Reinforcement Learning
How to Commission, Operate and Maintain a Large Future Accelerator Complex from Far Remote
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain
Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
Supertrust: Evolution-based superalignment strategy for safe coexistence
Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy
Efficient Optimization-based Cable Force Allocation for Geometric Control of Multiple Quadrotors Transporting a Payload
A general framework for weighted sum-rate and common-rate optimization
Big Data Meets Telcos: A Proactive Caching Perspective
ContactTrees: A Technique for Studying Personal Network Data
DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Model
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs
Context-Aware Detection of Mixed Critical Events using Video Classification
Inheritance of Convexity for the P min -Restricted Game
Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation
Secure User Authentication & Graphical Password using Cued Click-Points
Adaptive Test-Time Defense with the Manifold Hypothesis
Constructing Dynamic Knowledge Graph for Visual Semantic Understanding and Applications in Autonomous Robotics
Text-Based Detection of On-Hold Scripts in Contact Center Calls
Beyond One-Size-Fits-All: Personalized Harmful Content Detection with In-Context Learning
HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression
Achieving mouse-level strategic evasion performance using real-time computational planning
The Efficiency Examination of Teaching of Different Normalization Methods
Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models
Multi-task learning of convex combinations of forecasting models
HADSF: Aspect Aware Semantic Control for Explainable Recommendation
ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models
State Synchronization of Discrete-time Multi-agent Systems in Presence of Unknown Nonuniform Communication Delays: A Scale-free Protocol Design
LokiLM: Technical Report
On excitation of control-affine systems and its use for data-driven Koopman approximants
Local linear Fréchet curve regression in manifolds
Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
Circuit Level Modeling of Extra Combinational Delays in SRAM FPGAs Due to Transient Ionizing Radiation
Scheduling of UAV-assisted Millimeter Wave Communications for High-Speed Railway
3D ReX: Causal Explanations in 3D Neuroimaging Classification
Tableau-based decision procedure for the multi-agent epistemic logic with operators of common and distributed knowledge
A VR-based Priming Framework and Technology Implementation to Improve Learning Mindsets and Academic Performance in Post-Secondary Students
Quantum channel tomography and estimation by local test
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection
When an LLM is apprehensive about its answers - and when its uncertainty is justified
Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images
UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities
Personalized Federated Training of Diffusion Models with Privacy Guarantees
Fast Portrait Segmentation with extremely light-weight network
Quantum Voting and Violation of Gibbard-Satterthwaite's Impossibility Theorem
Defending Against Intelligent Attackers at Large Scales
Faster p-adic Feasibility for Certain Multivariate Sparse Polynomials
Full-scale Representation Guided Network for Retinal Vessel Segmentation
Data Breaches in Healthcare Security Systems
Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging
The Sorting Buffer Problem is NP-hard
Convex Maneuver Planning for Spacecraft Collision Avoidance
Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data
PathletRL++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation via Reinforcement Learning
Critical Appraisal of Artificial Intelligence-Mediated Communication
RelChaNet: Neural Network Feature Selection using Relative Change Scores
On the Use of CVRP to Diagnose Faulty Elements in Antenna Arrays
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint
Patch-enhanced Mask Encoder Prompt Image Generation
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning
Optimal locally recoverable codes with hierarchy from nested F-adic expansions
A Dataset Generation Toolbox for Dynamic Security Assessment: On the Role of the Security Boundary
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials Design
Label-Guided In-Context Learning for Named Entity Recognition
Relax but stay in control: from value to algorithms for online Markov decision processes
Strongly chordal graphs as intersection graphs of trees (Farber's proof revisited)
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V
Exact closure for discrete large-eddy simulation
An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition