yusuke1997/dblp-id-title huggingface dataset:
Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation
Adversarial Texts with Gradient Methods
Entropy of Telugu
HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction Environments
A Cheeger-Type Inequality on Simplicial Complexes
Restore from Restored: Video Restoration with Pseudo Clean Video
ModCube: Modular, Self-Assembling Cubic Underwater Robot
Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Limit theorems of Chatterjee's rank correlation
Permutation Recovery Problem against Deletion Errors for DNA Data Storage
Embedding Economic Incentives in Social Networks Shape the Diffusion of Digital Technological Innovation
Completeness of FSM Test Suites Reconsidered
You Only Merge Once: Learning the Pareto Set of Preference-Aware Model Merging
SGTR+: End-to-end Scene Graph Generation with Transformer
NBMOD: Find It and Grasp It in Noisy Background
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions
Measures of Fault Tolerance in Distributed Simulated Annealing
AI AI Bias: Large Language Models Favor Their Own Generated Content
Utility Fairness for the Differentially Private Federated Learning
Tokoin: A Coin-Based Accountable Access Control Scheme for Internet of Things
Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information
Effectiveness and Scalability of Fuzzing Techniques in CI/CD Pipelines
Hand1000: Generating Realistic Hands from Text with Only 1,000 Images
Globular weak ω-categories as models of a type theory
VocalBench-DF: A Benchmark for Evaluating Speech LLM Robustness to Disfluency
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems
Stochastic equivalence for performance analysis of concurrent systems in dtsiPBC
NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
On the Cohomology of 3D Digital Images
From Graph Diffusion to Graph Classification
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
Stochastic Training of Graph Convolutional Networks
Relevance to Utility: Process-Supervised Rewrite for RAG
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
Partition of Unity Methods for Signal Processing on Graphs
Phase Modulation for Discrete-time Wiener Phase Noise Channels with Oversampling at High SNR
A Benchmark on Reliability of Complex Discrete Systems: Emergency Power Supply of a Nuclear Power Plant
Placenta Accreta Spectrum Detection Using an MRI-based Hybrid CNN-Transformer Model
Towards Spatially-Aware and Optimally Faithful Concept-Based Explanations
Branch-and-Price for the Length-Constrained Cycle Partition Problem
Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
Infinitely Wide Tensor Networks as Gaussian Process
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data
The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracy
ConicCurv: A curvature estimation algorithm for planar polygons
Hyperlink Regression via Bregman Divergence
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation
Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs
Recognizability versus solvability of promise problems in finite, classical and quantum automata, framework
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
Directional PointNet: 3D Environmental Classification for Wearable Robotics
Theoretical Foundations of Prompt Engineering: From Heuristics to Expressivity
Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation
Momentum Model-based Minimal Parameter Identification of a Space Robot
Challenges and Directions for Engineering Multi-agent Systems
Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models
Non-Crossing Shortest Paths are Covered with Exactly Four Forests
UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision
AI for Scientific Discovery is a Social Problem
Tensor-networks for High-order Polynomial Approximation: A Many-body Physics Perspective
Biography-based Robot Games for Older Adults
The evolution of conditional moral assessment in indirect reciprocity
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning
Distributed Binary Detection with Lossy Data Compression
On the Security and Privacy of AI-based Mobile Health Chatbots
A Practical Dynamic Programming Approach to Datalog Provenance Computation
Global Climate Model Bias Correction Using Deep Learning
Improving and Understanding Variational Continual Learning
Hybrid Fuzzy Control of Nonlinear Inverted Pendulum System
The Private Classical Capacity of a Partially Degradable Quantum Channel
Semantic Distance Measurement based on Multi-Kernel Gaussian Processes
A New Algorithm for Finding Closest Pair of Vectors
Artificial Neural Network Based Prediction of Optimal Pseudo-Damping and Meta-Damping in Oscillatory Fractional Order Dynamical Systems
Geometry of Decision Making in Language Models
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
Channel Self-Supervision for Online Knowledge Distillation
Random Reshuffling for Stochastic Gradient Langevin Dynamics
Bottom-Up and Top-Down Analysis of Values, Agendas, and Observations in Corpora and LLMs
CLIP-driven rain perception: Adaptive deraining with pattern-aware network routing and mask-guided cross-attention
The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification
Hardness of 4-Colourings G-Colourable Graphs
From medical imaging to virtual reality for archaeology
Stability properties for a class of inverse problems
Non-Linear Distributed Average Consensus using Bounded Transmissions
The role of geographic proximity in knowledge diffusion, measured by citations to scientific literature
Towards Direct Medical Image Analysis without Segmentation
TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets
AquaGS: Fast Underwater Scene Reconstruction with SfM-Free Gaussian Splatting
Analogue-digital systems with modes of operation
Altmetrics (Chapter from Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact)
Time Efficient Approach To Offline Hand Written Character Recognition Using Associative Memory Net
SpectralKD: Understanding and Optimizing Vision Transformer Distillation through Spectral Analysis
Reliability Crisis of Reference-free Metrics for Grammatical Error Correction
Who negatively influences me? Formalizing diffusion dynamics of negative exposure leading to student attrition in MOOCs
An Optimal Monotone Contention Resolution Scheme for Uniform and Partition Matroids
Unsupervised speech enhancement with spectral kurtosis and double deep priors
ATLaS: Agent Tuning via Learning Critical Steps
Decentralized Federated Unlearning on Blockchain
Towards physics-informed neural networks for landslide prediction
Regular Model Checking Approach to Knowledge Reasoning over Parameterized Systems (technical report)
Diffusion-based Generative Multicasting with Intent-aware Semantic Decomposition
SYSPART: Automated Temporal System Call Filtering for Binaries
PID passivity-based control of power converters: Large-signal stability, robustness and performance
Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification
Data-Driven Scheduling of Electric Boiler with Thermal Storage for Providing Power Balancing Service
Most Ligand-Based Benchmarks Measure Overfitting Rather than Accuracy
libACA, pyACA, and ACA-Code: Audio Content Analysis in 3 Languages
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
δ-CAUSAL: Exploring Defeasibility in Causal Reasoning
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
Multimodal Contrastive In-Context Learning
NACNet: A Histology Context-aware Transformer Graph Convolution Network for Predicting Treatment Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer
Political Elites in False Statements on the Internet
PHORECAST: Enabling AI Understanding of Public Health Outreach Across Populations
Supervised Domain Adaptation: Were we doing Graph Embedding all along?
On resolving conflicts between arguments
Performance of Gaussian Boson Sampling on Planted Bipartite Clique Detection
ESPOON$_{ERBAC}$: Enforcing Security Policies In Outsourced Environments
Preprocessing Algorithm Leveraging Geometric Modeling for Scale Correction in Hyperspectral Images for Improved Unmixing Performance
SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples
Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusion
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey
Random Matrices and Erasure Robust Frames
Optimal Mix of Incentive Strategies for Product Marketing on Social Networks
Architecture Singularity Distance Computations for Linear Pentapods
An Experimental Comparison of Coded Modulation Strategies for 100 Gbit/s Transceivers
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images
Required Base Station Density in Coordinated Multi-Point Uplink with Rate Constraints
VitalBench: A Rigorous Multi-Center Benchmark for Long-Term Vital Sign Prediction in Intraoperative Care
For Whom the Bell Trolls: Troll Behaviour in the Twitter Brexit Debate
Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET images
BayesCPF: Enabling Collective Perception in Robot Swarms with Degrading Sensors
The Curvature-Augmented Closest Point Method with Vesicle Inextensibility Application
Bayesian Robust Graph Contrastive Learning
The Claire French Dialogue Dataset
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models
Result and Congestion Aware Optimal Routing and Partial Offloading in Collaborative Edge Computing
The Interpretation Gap in Text-to-Music Generation Models
Visual Storytelling: A Methodological Approach to Designing and Implementing a Visualisation Poster
Question-Driven Design Process for Explainable AI User Experiences
Beyond the Zipf-Mandelbrot law in quantitative linguistics
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare-event Detection
Optimal design of experiments in the context of machine-learning inter-atomic potentials: improving the efficiency and transferability of kernel based methods
Comment Generation for Source Code: State of the Art, Challenges and Opportunities
Some Quantitative Aspects of Fractional Computability
QBER: Quantifying Cyber Risks for Strategic Decisions
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan
A Survey of mmWave-based Human Sensing: Technology, Platform and Applications
PROPOE 2: Avanços na Síntese Computacional de Poemas Baseados em Prosa Literária Brasileira
Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message
Component Importance and Interdependence Analysis for Transmission, Distribution and Communication Systems
algoTRIC: Symmetric and asymmetric encryption algorithms for Cryptography - A comparative analysis in AI era
b-Bit Minwise Hashing for Large-Scale Linear SVM
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class
Theory III: Dynamics and Generalization in Deep Networks
Report on Female Participation in Informatics degrees in Europe
Captioning Near-Future Activity Sequences
Correctness of Hierarchical MCS Locks with Timeout
Hamiltonian Descent Methods
The solution to the challenge in "Time-Reversible Random Number Generators" by Wm. G. Hoover and Carol G. Hoover
Tree Bandits for Generative Bayes
A Spiking Neural Network Structure Implementing Reinforcement Learning
Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes
Application of a Quantum Ensemble Model to Linguistic Analysis
Machine Learning Phase Transitions with a Quantum Processor
Breaking the f+1 Barrier: Executing Payment Transactions in Parallel with Less than f+1 Validations
Data-driven, structure-preserving approximations to entropy-based moment closures for kinetic equations
An unnoticed side effect of electric vehicles
Patch-based adaptive temporal filter and residual evaluation
Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning
Lifelong Bandit Optimization: No Prior and No Regret
Pixel-wise Anomaly Detection in Complex Driving Scenes
Adaptive Diffusions for Scalable Learning over Graphs
Workshop Notes of the 6th International Workshop on Acquisition, Representation and Reasoning about Context with Logic (ARCOE-Logic 2014)
Instruction-Based Coordination of Heterogeneous Processing Units for Acceleration of DNN Inference
Hypergraph based semi-supervised learning algorithms applied to speech recognition problem: a novel approach
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
Gaussian Fading Is the Worst Fading
Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter
Hierarchical Learning with Unsupervised Skill Discovery for Highway Merging Applications
KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings
On the Coexistence of Macrocell Spatial Multiplexing and Cognitive Femtocells
Nonlinear Model Predictive Control of Variable Speed Hydropower for Provision of Fast Frequency Reserves
Investigating the Effects of Robot Proficiency Self-Assessment on Trust and Performance
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods
MaiT: Leverage Attention Masks for More Efficient Image Transformers
A Survey of Uncertainty in Deep Neural Networks
A New Software Framework for Traffic Engineering: Path Cardinality and the Effect of Multipath on Residual Capacity
LiDARTag: A Real-Time Fiducial Tag using Point Clouds
Effective Multi-Robot Spatial Task Allocation using Model Approximations
Improving Language Models for Emotion Analysis: Insights from Cognitive Science
FHPM: Fine-grained Huge Page Management For Virtualization
SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation
Steganography and Steganalysis: Different Approaches
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Unsafe At Any Level: NHTSA's levels of automation are a liability for autonomous vehicle design and regulation
A University of Texas Medical Branch Case Study on Aortic Calcification Detection
Opinion dynamics in bounded confidence models with manipulative agents: Moving the Overton window
A New Distance Measure for Non-Identical Data with Application to Image Classification
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
Model-based Testing of Practical Distributed Systems in Actor Model
VC Dimension and Distribution-Free Sample-Based Testing
NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing
Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers
BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration
On Comparison between Evolutionary Programming Network-based Learning and Novel Evolution Strategy Algorithm-based Learning
Evaluation of Distance Measures for Feature based Image Registration using AlexNet
Accountable Error Characterization
Diffusion Product Quantization
STMPL: Human Soft-Tissue Simulation
A General Framework for Evaluating Callout Mechanisms in Repeated Auctions
Not all layers are equally as important: Every Layer Counts BERT
Simple U-net Based Synthetic Polyp Image Generation: Polyp to Negative and Negative to Polyp
Anomaly Detection Model for Imbalanced Datasets
CarDD: A New Dataset for Vision-based Car Damage Detection
The Update Equivalence Framework for Decision-Time Planning
A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach
Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck
Domain Decomposition Subspace Neural Network Method for Solving Linear and Nonlinear Partial Differential Equations
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization
Defining and identifying the optimal embedding dimension of networks
Privacy: An axiomatic approach
Non-Linear Multiple Field Interactions Neural Document Ranking
AgileNet: Lightweight Dictionary-based Few-shot Learning
ComputeGPT: A computational chat model for numerical problems
Cantor Mapping Technique
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning
A Winner-Take-All Approach to Emotional Neural Networks with Universal Approximation Property
Empowering Biomedical Discovery with AI Agents
Identification of Piecewise Affine State-Space Models via Expectation Maximization
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique
Conflict-Aware Replicated Data Types
On Channel Resolvability in Presence of Feedback
Deep Convolutional Likelihood Particle Filter for Visual Tracking
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning
Estimatable variation neural networks and their application to ODEs and scalar hyperbolic conservation laws
Applications of Probabilistic Programming (Master's thesis, 2015)
Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions
Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors
Anonymous Variables in Imperative Languages
Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Learned Focused Plenoptic Image Compression with Microimage Preprocessing and Global Attention
Asymptotic Log-loss of Prequential Maximum Likelihood Codes
Linear stimulus reconstruction works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding dataset
CLA: Latent Alignment for Online Continual Self-Supervised Learning
Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
XSS Peeker: A Systematic Analysis of Cross-site Scripting Vulnerability Scanners
Bias estimation in sensor networks
Class Correlation affects Single Object Localization using Pre-trained ConvNets
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
On the optimal rates of convergence of Gegenbauer projections
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging
Encouraging early mastery of computational concepts through play
Negative probabilities in Gene Regulatory Networks
The Missing Reward: Active Inference in the Era of Experience
A Novel Dataset Towards Extracting Virus-Host Interactions
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform
A new BAT for Acyclic Multistate Information Network Reliability Evaluation
Evidence of Cognitive Biases in Capture-the-Flag Cybersecurity Competitions
To Err is AI : A Case Study Informing LLM Flaw Reporting Practices
The Ergodic Capacity of Interference Networks
On Group Violations of Inequalities in five Subgroups
SEGNET: Secure Geo-Sensor Network Model
Fourier growth of structured $\mathbb{F}_2$-polynomials and applications
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn
Self-Trained Proposal Networks for the Open World
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
Your Image Generator Is Your New Private Dataset
Multimodal Sensory Learning for Real-time, Adaptive Manipulation
Online Covering with Convex Objectives and Applications
Kernel Embedding Linear Response
Demo: ViolentUTF as An Accessible Platform for Generative AI Red Teaming
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses
Learning Single-View 3D Reconstruction with Adversarial Training
MIDG: Mixture of Invariant Experts with knowledge injection for Domain Generalization in Multimodal Sentiment Analysis
Tag Embedding Based Personalized Point Of Interest Recommendation System
Recommending Given Names
Sémantique des déterminants dans un cadre richement typé
RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
An encoder-decoder-based method for COVID-19 lung infection segmentation
Establishing a leader in a pairwise comparisons method
Overcoming High Frequency Limitations of Current-Mode Control Using a Control Conditioning Approach - Part I: Modeling and Analysis
Efficient Convolutional Neural Network with Binary Quantization Layer
Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
An Active Contour Model for Silhouette Vectorization using Bézier Curves
Robust Dynamic State Feedback Guaranteed Cost Control of Nonlinear Systems using Copies of Plant Nonlinearities
Language models should be subject to repeatable, open, domain-contextualized hallucination benchmarking
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
On the exact computation of linear frequency principle dynamics and its generalization
Performant, Memory Efficient and Scalable Multi-Agent Reinforcement Learning
Improving Resistance to Noisy Label Fitting by Reweighting Gradient in SAM
Bit-balance: Model-Hardware Co-design for Accelerating NNs by Exploiting Bit-level Sparsity
Nonlinear Moving Horizon Estimation and Model Predictive Control for Buildings with Unknown HVAC Dynamics
Erratum: Fast and Simple Horizontal Coordinate Assignment
Preserving Confidentiality in The Gaussian Broadcast Channel Using Compute-and-Forward
Geometric Methods for Robust Data Analysis in High Dimension
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models
A Spring Propelled Extreme Environment Robot for Off-World Cave Exploration
Continuous Molecular Communication in one dimensional situation
Abstract Gringo
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations
A LTL Fragment for GR(1)-Synthesis
On the Bootstrap for Persistence Diagrams and Landscapes
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
Identifiability of multivariate logistic mixture models
Rapid mixing in unimodal landscapes and efficient simulatedannealing for multimodal distributions
Lessons Learned: A Smart Campus Environment Using LoRaWAN
Transfer learning driven design optimization for inertial confinement fusion
Practical Perspectives on Quality Estimation for Machine Translation