yusuke1997/dblp-id-title huggingface dataset:
Deep Random based Key Exchange protocol resisting unlimited MITM
From Oracle Choice to Oracle Lock-In: An Exploratory Study on Blockchain Oracles Supplier Selection
First-Order Problem Solving through Neural MCTS based Reinforcement Learning
Time Adaptive Reinforcement Learning
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach
Low Rank Forecasting
R-Hero: A Software Repair Bot based on Continual Learning
Locality Preserving Loss to Align Vector Spaces
Towards Measurement Theory for Artificial Intelligence
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models
TIML: Task-Informed Meta-Learning for Agriculture
Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems
Numerical Study of Random Kelvin-Helmholtz Instability
Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong
Scope Compliance Uncertainty Estimate
Fault detection and isolation for linear structured systems
On the Expected Value of the Determinant of Random Sum of Rank-One Matrices
A Modular Framework for Implicit 3D-0D Coupling in Cardiac Mechanics
Investigation of Rule 73 as Case Study of Class 4 Long-Distance Cellular Automata
Meta-learning for fast cross-lingual adaptation in dependency parsing
Detachment Problem - Application in Prevention of Information Leakage in Stock Markets
Decentralized Frequency Regulation of Hybrid MTDC-linked Grids
Accelerated Multiplicative Weights Update Avoids Saddle Points almost always
Performing Stance Detection on Twitter Data using Computational Linguistics Techniques
Post-Hoc Domain Adaptation via Guided Data Homogenization
Overview of Factify5WQA: Fact Verification through 5W Question-Answering
Stability of Scheduled Multi-access Communication over Quasi-static Flat Fading Channels with Random Coding and Independent Decoding
Reliability Bounds for Delay-Constrained Multi-hop Networks
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks
Learning to Predict Context-adaptive Convolution for Semantic Segmentation
A Short Review for Ontology Learning from Text: Stride from Shallow Learning, Deep Learning to Large Language Models Trend
LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
Testing Causal Explanations: A Case Study for Understanding the Effect of Interventions on Chronic Kidney Disease
PromptIQ: Who Cares About Prompts? Let System Handle It - A Component-Aware Framework for T2I Generation
Towards an Extension of the 2-tuple Linguistic Model to Deal With Unbalanced Linguistic Term sets
STL: A Signed and Truncated Logarithm Activation Function for Neural Networks
Adapting self-supervised models to multi-talker speech recognition using speaker embeddings
Performance Analysis of mmWave Ad Hoc Networks
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
Bayesian Optimization for Non-Cooperative Game-Based Radio Resource Management
Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem
Progressive Language-guided Visual Learning for Multi-Task Visual Grounding
A Subspace Framework for L ∞ Model Reduction
Machine Learning in High Volume Media Manufacturing
Changing the ranking in eigenvector centrality of a weighted graph by small perturbations
CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence
Characterization of Flexible RF Microcoil Dedicated to Surface Mri
MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids
End to End Dialogue Transformer
General-purpose validation and model selection when estimating individual treatment effects
Diverse Online Feature Selection
LumiGauss: High-Fidelity Outdoor Relighting with 2D Gaussian Splatting
DA-HGT: Domain Adaptive Heterogeneous Graph Transformer
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News
Adaptive Cost Function for Pointcloud Registration
B-spline periodization of Fourier pseudo-spectral method for non-periodic problems
Exteroception through Proprioception Sensing through Improved Contact Modeling for Soft Growing Robots
Generation of weighted trees, block trees and block graphs
Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval
An Event-based State Estimation Approach for Positive Systems with Positive Observers
A Novel Method to Manage Production on Industry 4.0: Forecasting Overall Equipment Efficiency by Time Series with Topological Features
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning
Semantics-Driven Cloud-Edge Collaborative Inference
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making
High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems
Arc-preserving subsequences of arc-annotated sequences
Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models
Higher-Order Space-Time Continuous Galerkin Methods for the Wave Equation
Proximal binaural sound can induce subjective frisson
Multimodal Metric Learning for Tag-based Music Retrieval
A feature construction framework based on outlier detection and discriminative pattern mining
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning
Shared Representational Geometry Across Neural Networks
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling
Watermark Text Pattern Spotting in Document Images
Benchmark on Drug Target Interaction Modeling from a Structure Perspective
A Stabilized Unfitted Space-time Finite Element Method for Parabolic Problems on Moving Domains
Using the agile adoption framework to assess agility and guide improvements
Learning Manipulation Tasks in Dynamic and Shared 3D Spaces
Intelligent Parsing: An Automated Parsing Framework for Extracting Design Semantics from E-commerce Creatives
Development of a Fuzzy Expert System based Liveliness Detection Scheme for Biometric Authentication
Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features
On a linearization technique for solving quadratic set covering problem and variations
Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Parameterized Machine Learning for High-Energy Physics
The KISS principle in Software-Defined Networking: An architecture for Keeping It Simple and Secure
ToL: A Tensor of List-Based Unified Computation Model
EditBoard: Towards A Comprehensive Evaluation Benchmark for Text-based Video Editing Models
Approximation of curves with piecewise constant or piecewise linear functions
Towards Explainable Conversational AI for Early Diagnosis with Large Language Models
Positioning in 5G networks
Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry
Complementarities in childcare allocation under priorities
Dynamic Symbolic Execution of Higher-Order Functions
MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL
MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space
CharCom: Composable Identity Control for Multi-Character Story Illustration
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
Room Clearance with Feudal Hierarchical Reinforcement Learning
How biased is your model? Concentration Inequalities, Information and Model Bias
FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change
Maximum Secrecy Throughput of MIMOME FSO Communications with Outage Constraints
AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring
Selfish Behavior in the Tezos Proof-of-Stake Protocol
Language Reconstruction with Brain Predictive Coding from fMRI Data
ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices
Multi-level Neural Networks for Accurate Solutions of Boundary-Value Problems
Depth-Assisted Network for Indiscernible Marine Object Counting with Adaptive Motion-Differentiated Feature Encoding
Probabilistic Stability Assessment for Active Distribution Grids
Spline Approximation to Medial Axis
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization
A Broadcast News Corpus for Evaluation and Tuning of German LVCSR Systems
Universal Stego Post-processing for Enhancing Image Steganography
A linear-time algorithm to compute the conjugate of nonconvex bivariate piecewise linear-quadratic functions
Controlling Communications Quality in V2V Platooning: a TSN-like Slot-Based Scheduler Approach
Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries
Graph Convolutional Networks for Simulating Multi-phase Flow and Transport in Porous Media
Code smells: A Synthetic Narrative Review
Factorizations of Cunningham numbers with bases 13 to 99
Mitigating Exposure Bias in Discriminator Guided Diffusion Models
gTBLS: Generating Tables from Text by Conditional Question Answering
Circle graphs (chord interlacement graphs) of Gauss diagrams: Descriptions of realizable Gauss diagrams, algorithms, enumeration
Towards An Online Incremental Approach to Predict Students Performance
A review on Neural Turing Machine
Hybrid Isolation Forest - Application to Intrusion Detection
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
Investigating salient representations and label Variance in Dimensional Speech Emotion Analysis
Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
Revisiting the Superficial Alignment Hypothesis
Object Recognition with Multi-Scale Pyramidal Pooling Networks
ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing
TRLF: An Effective Semi-fragile Watermarking Method for Tamper Detection and Recovery based on LWT and FNN
Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging
My First Five Years of Faculty Career at the University of Delaware
P-CNN: Pose-based CNN Features for Action Recognition
Unconstrained optimisation on Riemannian manifolds
Semantic UV mapping to improve texture inpainting for indoor scenes
Approximating moving point sources in hyperbolic partial differential equations
LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems
Symmetry in Image Registration and Deformation Modeling
A multi-class non-local macroscopic model with time delay for mixed autonomous / human-driven traffic
Understanding news story chains using information retrieval and network clustering techniques
Convergent Differential Privacy Analysis for General Federated Learning: the f-DP Perspective
Plane-filling trails
A linear k-fold Cheeger inequality
Unraveling codes: fast, robust, beyond-bound error correction for DRAM
Deriving Fast AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation
Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer
Mish: A Self Regularized Non-Monotonic Neural Activation Function
Handling Large-scale Cardinality in building recommendation systems
Deep Convolutional Matching
Sentiment Dynamics in Social Media News Channels
Fine-Tuned Large Language Models for Logical Translation: Reducing Hallucinations with Lang2Logic
SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation
Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation
Reconciling Rationality and Stochasticity: Rich Behavioral Models in Two-Player Games
Discovering Graph Generation Algorithms
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Exploring two concepts: branch decomposition and weak ultrafilter on connectivity system
Generating One-Hot Maps under Encryption
Accelerating Deep Learning Inference via Learned Caches
Relational Visual Similarity
Simplified numerical realization of elastoplastic constitutive problems: PART I - criteria given by Haigh-Westergaard coordinates
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy
The Palomar twilight survey of 'Ayló'chaxnim, Atiras, and comets
Exact Recovery of Discrete Measures from Wigner D-Moments
Quantitative Programming by Examples
FMG-Det: Foundation Model Guided Robust Object Detection
Transmission Line Detection Based on Improved Hough Transform
Whisper Has an Internal Word Aligner
Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0
A Review on Deep Learning in UAV Remote Sensing
Convolution Attack on Frequency-Hopping by Full-Duplex Radios
Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture
Nash Equilibrium in Smoothed Polynomial Time for Network Coordination Games
Detecting Violence in Video Based on Deep Features Fusion Technique
Dynamic Space-Time Scheduling for GPU Inference
From Probabilistic Programming to Complexity-based Programming
Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework
Creating e-learning means of free software
Scalable Nested Optimization for Deep Learning
The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge
Cost-efficient segmentation of electron microscopy images using active learning
Frequency-Competitive Query Strategies to Maintain Low Congestion Potential Among Moving Entities
SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing
Comparative Study of Simulation for Vehicular Ad-hoc Network
Data Quality Evaluation using Probability Models
Do Large Language Models Know What They Are Capable Of?
Gray-box Adversarial Testing for Control Systems with Machine Learning Component
Increasing Validity Through Replication: An Illustrative TDD Case
On the Minimum Number of Transmissions in Single-Hop Wireless Coding Networks
Modeling social media contagion using Hawkes processes
Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild
Sequential Evaluation and Generation Framework for Combinatorial Recommender System
Distributed Quantum Computing: a Survey
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
An Information Theoretic Metric for Evaluating Unlearning Models
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings
Security Protection in Cooperative Control of Multi-agent Systems
GT^2-GS: Geometry-aware Texture Transfer for Gaussian Splatting
InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
Data-driven Identification of 2D Partial Differential Equations using extracted physical features
Secure and Decentralized Peer-to-Peer Energy Transactions using Blockchain Technology
AI based Multiagent Approach for Requirements Elicitation and Analysis
BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models
A Survey on Image-text Multimodal Models
Force-Aware 3D Contact Modeling for Stable Grasp Generation
On the Distribution of GSVD
SSCL-BW: Sample-Specific Clean-Label Backdoor Watermarking for Dataset Ownership Verification
Policy Regularization for Legible Behavior
Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge
An Efficient Solver to Helmholtz Equations by Recontruction Discontinuous Approximation
zkLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs
Probabilistic Modeling of Spiking Neural Networks with Contract-Based Verification
Centered Self-Attention Layers
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
Multi-label Classification with Panoptic Context Aggregation Networks
One Model, Two Minds: A Context-Gated Graph Learner that Recreates Human Biases
Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control
An Integrated Real-time UAV Trajectory Optimization with Potential Field Approach for Dynamic Collision Avoidance
Monitoring the Venice Lagoon: an IoT Cloud-Based Sensor Nerwork Approach
Multi-scale CLEAN in hard X-ray solar imaging
Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect
Semi-supervised Learning for Word Sense Disambiguation
Surgical Data Science: A Consensus Perspective
Comparative Study of AR Versus Image and Video for Exercise Learning
Reinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems
AMP in the wild: Learning robust, agile, natural legged locomotion skills
Kalman Filtering over Gilbert-Elliott Channels: Stability Conditions and the Critical Curve
Training-Free Class Purification for Open-Vocabulary Semantic Segmentation
Analytical Queries: A Comprehensive Survey
Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
Quantitative Analysis of the Italian National Scientific Qualification Part II: applicant profiles and final reports
FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
Private Information Retrieval for Coded Storage
AlignTree: Efficient Defense Against LLM Jailbreak Attacks
The analogue of overlap-freeness for the period-doubling sequence
Sumudu Neural Operator for ODEs and PDEs
Relative Generalized Hamming Weights of Cyclic Codes
GRADIEND: Monosemantic Feature Learning within Neural Networks Applied to Gender Debiasing of Transformer Models
Distributed Affine Formation Control of Linear Multi-agent Systems with Adaptive Event-triggering
GMU Systems for the IWSLT 2025 Low-Resource Speech Translation Shared Task
Mining Event Logs to Support Workflow Resource Allocation
Mixed powerdomains for probability and nondeterminism
Low-Rank Adaptation of Evolutionary Deep Neural Networks for Efficient Learning of Time-Dependent PDEs
Rayleigh quotients of Dillon's functions
Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategy
WorldMove, a global open data for human mobility
Exact Nonlinear Model Reduction for a von Karman beam: Slow-Fast Decomposition and Spectral Submanifolds
Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics
Preventing and Controlling Epidemics through Blockchain-Assisted AI-Enabled Networks
TOFA: Transfer-Once-for-All
Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory
Radon partitions in convexity spaces
Artificial intelligence and the internal processes of creativity
On the Limitations of Steering in Language Model Alignment
Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios
Validating Traces of Distributed Programs Against TLA+ Specifications
Leveraging Large Language Models to Build and Execute Computational Workflows
Shannon Entropy based Randomness Measurement and Test for Image Encryption
Artificial Intelligence in Traffic Systems
CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation
HumanoidExo: Scalable Whole-Body Humanoid Manipulation via Wearable Exoskeleton
Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach
Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
Contract Strengthening through Constrained Horn Clause Verification
Towards Small Language Models for Security Query Generation in SOC Workflows
Stochastic Optimization with Non-stationary Noise
Sri Lanka Document Datasets: A Large-Scale, Multilingual Resource for Law, News, and Policy
Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning
The destiny of constant structure discrete time closed semantic systems
ThoughtProbe: Classifier-Guided Thought Space Exploration Leveraging LLM Intrinsic Reasoning
Dataset Distillation for Medical Dataset Sharing
Information theoretic parameters of non-commutative graphs and convex corners
Intelligent Remote Control for TV Program based on Emotion in Arabic Speech
Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms
Study of dynamic and static routing for improvement of the transportation efficiency on small complex networks
Balanced Allocation on Graphs
Crack detection using tap-testing and machine learning techniques to prevent potential rockfall incidents
An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing
Learning normal asymmetry representations for homologous brain structures
Soft-input, soft-output joint detection and GRAND
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
Fully Stochastic Primal-dual Gradient Algorithm for Non-convex Optimization on Random Graphs
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features
Multi-Task Self-Supervised Time-Series Representation Learning
Designing Path Planning Algorithms for Mobile Anchor towards Range-Free Localization
Can Transformers be Strong Treatment Effect Estimators?
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation
Estimating Scene Flow in Robot Surroundings with Distributed Miniaturized Time-of-Flight Sensors
Quantum Steganography and Quantum Error-Correction
Random Fourier Features for Asymmetric Kernels
Italy goes to Stanford: a collection of CoreNLP modules for Italian
Non-Asymptotic and Asymptotic Analyses on Markov Chains in Several Problems
An Auditing Test To Detect Behavioral Shift in Language Models
Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition
No More Pesky Learning Rate Guessing Games
Deep learning-based statistical noise reduction for multidimensional spectral data
Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning
Entropy-Guided Reasoning Compression
Relaxed Dual Optimal Inequalities for Relaxed Columns: with Application to Vehicle Routing
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction
Finding safe strategies for competitive diffusion on trees
Generalized eigenvalue stabilization for immersed explicit dynamics
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data
Bandwidth-Hard Functions from Random Permutations
Dynamic Mixture-of-Experts for Visual Autoregressive Model
NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification
A systematic review of trial-matching pipelines using large language models