yusuke1997/dblp-id-title huggingface dataset:
Multi-Horizon Time Series Forecasting of non-parametric CDFs with Deep Lattice Networks
An Optimization Algorithm for Multimodal Data Alignment
Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi
FRAPPE: Fast Replication Platform for Elastic Services
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks
Edge-Cuts and Rooted Spanning Trees
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Low-Precision Arithmetic for Fast Gaussian Processes
A neural anisotropic view of underspecification in deep learning
Prompting Robot Teams with Natural Language
On the Effectiveness of Fekete's Lemma
QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
On topology optimization of large deformation contact-aided shape morphing compliant mechanisms
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks
This is the Moment for Probabilistic Loops
On the Solvability of Risk-Sensitive Linear-Quadratic Mean-Field Games
Combined Scaling for Zero-shot Transfer Learning
SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANs
Deductive Chain-of-Thought Augmented Socially-aware Robot Navigation World Model
Large Language Model-Based Automatic Formulation for Stochastic Optimization Models
The Rockerverse: Packages and Applications for Containerization with R
Modulation Formats and Waveforms for the Physical Layer of 5G Wireless Networks: Who Will be the Heir of OFDM?
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models
Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations
A Framework for Causal Concept-based Model Explanations
Sparse Autoencoders Bridge The Deep Learning Model and The Brain
ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking
Demand-Independent Tolls
Computational Performance Bounds Prediction in Quantum Computing with Unstable Noise
ReSem3D: Refinable 3D Spatial Constraints via Fine-Grained Semantic Grounding for Generalizable Robotic Manipulation
Dual parameterization of Weighted Coloring
Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection
Routesplain: Towards Faithful and Intervenable Routing for Software-related Tasks
New Implementation Framework for Saturation-Based Reasoning
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking
Generalised agent for solving higher board states of tic tac toe using Reinforcement Learning
An efficient uniqueness theorem for overcomplete tensor decomposition
TALES: Text Adventure Learning Environment Suite
Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?
Forms of Understanding of XAI-Explanations
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
Environmental Insights: Democratizing Access to Ambient Air Pollution Data and Predictive Analytics with an Open-Source Python Package
Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Combining subspace codes with classical linear error-correcting codes
A Smart Security System with Face Recognition
A Near-optimal, Scalable and Corruption-tolerant Framework for Stochastic Bandits: From Single-Agent to Multi-Agent and Beyond
Health State Estimation
Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning
Sentence Segmentation in Narrative Transcripts from Neuropsycological Tests using Recurrent Convolutional Neural Networks
Entropy conservation property and entropy stabilization of high-order continuous Galerkin approximations to scalar conservation laws
Low-complexity Non-coherent Signal Detection for Nano-Scale Molecular Communications
Analysis Of Possible Attack On AODV Protocol In MANET
Achieving while maintaining: A logic of knowing how with intermediate constraints
Nonuniform Line Coverage from Noisy Scalar Measurements
Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set
Hysteresis effects of changing parameters of noncooperative games
Train Ego-Path Detection on Railway Tracks Using End-to-End Deep Learning
Numerical reconstruction of radiative sources from partial boundary measurements
Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets
On the dynamics emerging from pandemics and infodemics
Stereo-Depth Fusion through Virtual Pattern Projection
Personalizing Smartwatch Based Activity Recognition Using Transfer Learning
Numerics on the trajectory of nodule displacements by external compressions of the breast
Rapid Feature Extraction for Optical Character Recognition
Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering
Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations
Weighted Missing Linear Discriminant Analysis: An Explainable Approach for Classification with Missing Data
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning
DualMark: Identifying Model and Training Data Origins in Generated Audio
A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures
AMR Alignment: Paying Attention to Cross-Attention
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Declarative Traffic Engineering for Low-Latency and Reliable Networking
Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map
Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
A Novel Framework For Text Detection From Natural Scene Images With Complex Background
A Unified Debugging Approach via LLM-Based Multi-Agent Synergy
On Symmetric Invertible Binary Pairing Functions
Reverse Training to Nurse the Reversal Curse
Information Resources in High-Energy Physics: Surveying the Present Landscape and Charting the Future Course
Formalized Identification Of Key Factors In Safety-Relevant Failure Scenarios
On the clustering of correlated random variables
Dynamic Memory Management on GPUs with SYCL
Rethinking Metrics and Benchmarks of Video Anomaly Detection
HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Redefining Recon: Bridging Gaps with UAVs, 360 degree Cameras, and Neural Radiance Fields
Regulating Ai In Financial Services: Legal Frameworks And Compliance Challenges
Unmanaged Internet Protocol: Taming the Edge Network Management Crisis
Online and Offline Greedy Algorithms for Routing with Switching Costs
Anti Tai Mapping for Unordered Labeled Trees
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach
AudioJailbreak: Jailbreak Attacks against End-to-End Large Audio-Language Models
Metastability of the Potts ferromagnet on random regular graphs
iMoWM: Taming Interactive Multi-Modal World Model for Robotic Manipulation
CometNet: Contextual Motif-guided Long-term Time Series Forecasting
Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning
Convex Relaxation for Fokker-Planck
Investigation of Different Calibration Methods for Deep Speaker Embedding based Verification Systems
Data-Driven Cooperative Adaptive Cruise Control for Unknown Nonlinear Vehicle Platoons
Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning
Dynamic data sampler for cross-language transfer learning in large language models
Unraveling Key Factors of Knowledge Distillation
Multi-Modal Model Predictive Path Integral Control for Collision Avoidance
A Survey on Large Language Models in Multimodal Recommender Systems
The Effect of Structural Diversity of an Ensemble of Classifiers on Classification Accuracy
Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems
Robust Learning of Parsimonious Deep Neural Networks
Tight Bounds for Budgeted Maximum Weight Independent Set in Bipartite and Perfect Graphs
Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization
On APN functions in odd characteristic, the disproof of a conjecture and related problems
Dynamic Real-time Optimization of Batch Processes using Pontryagin's Minimum Principle and Set-membership Adaptation
Neural networks with differentiable structure
Interactions and influence of world painters from the reduced Google matrix of Wikipedia networks
An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours
Least Square Value Iteration is Robust Under Locally Bounded Misspecification Error
An Explainable Deep Learning-based Prognostic Model for Rotating Machinery
Rascal: From Algebraic Specification to Meta-Programming
Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology
Depth-Wise Neural Architecture Search
Network-Aware Electric Vehicle Coordination for Vehicle-to-Anything Value Stacking Considering Uncertainties
Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features
Why Do Language Model Agents Whistleblow?
An Approach to the Analysis of the South Slavic Medieval Labels Using Image Texture
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
DAL - A Deep Depth-aware Long-term Tracker
DoGaussian: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification
The heteronomy of algorithms: Traditional knowledge and computational knowledge
The distributions of sliding block patterns in finite samples and the inclusion-exclusion principles for partially ordered sets
On Graph Deltas for Historical Queries
Fast operator learning for mapping correlations
A Note on Optimal Auctions for Two Uniformly Distributed Items
Foundations of Monte Carlo methods and stochastic simulations - From Monte Carlo Lebesgue integration to weak approximation of SDEs
Sliding Window Attention Adaptation
Robust discretization and solvers for elliptic optimal control problems with energy regularization
Economic-Driven Adaptive Traffic Signal Control
DNA Origami Nanostructures Observed in Transmission Electron Microscopy Images can be Characterized through Convolutional Neural Networks
Agentic Educational Content Generation for African Languages on Edge Devices
Source Code Comments: Overlooked in the Realm of Code Clone Detection
Causal Intervention Framework for Variational Auto Encoder Mechanistic Interpretability
Architectures for High Performance Computing and Data Systems using Byte-Addressable Persistent Memory
Smoothness and decay properties of the limiting Quicksort density function
Learning-Assisted Multi-Operator Variable Neighborhood Search for Urban Cable Routing
LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization
A New Exact Algorithm for Traveling Salesman Problem with Time Complexity Interval (O(n^4), O(n^3*2^n))
Inappropriate Benefits and Identification of ChatGPT Misuse in Programming Tests: A Controlled Experiment
Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on a Custom Track Environment
DNA Pattern Matching Acceleration with Analog Resistive CAM
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
A Dynamical System-based Key Equation for Decoding One-Point Algebraic-Geometry Codes
SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents
Asymptotic Boundedness of Distributed Set-Membership Filtering
Achieving Sensor Fusion for Collaborative Multi-level Monitoring of Pipeline Infrastructures
EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs
Machine learning based compact photonic structure design for strong light confinement
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset
RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios
Symbolic Regression for PDEs using Pruned Differentiable Programs
Harnessing the Power of Noise: A Survey of Techniques and Applications
Global Optimization of Multi-Flyby Trajectories for Multi-Orbital-Plane Constellations Inspection
Real-world Person Re-Identification via Degradation Invariance Learning
A well-balanced reconstruction with bounded velocities for the shallow water equations by convex combination
Artificial Neural Network Based Optical Character Recognition
The recursive scheme of clustering
Instances of Computational Optimal Recovery: Refined Approximability Models
Co-optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering
Uniform Risk Bounds for Learning with Dependent Data Sequences
Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval
Navigating News Narratives: A Media Bias Analysis Dataset
CPED-NCBFs: A Conformal Prediction for Expert Demonstration-based Neural Control Barrier Functions
Generalized FDTD Scheme for Moving Electromagnetic Structures with Arbitrary Space-Time Configurations
Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks
False Data Injection Attacks in Smart Grids: State of the Art and Way Forward
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
On the similarities between rank and Hamming weights and their applications to network coding
RFM-SLAM: Exploiting Relative Feature Measurements to Separate Orientation and Position Estimation in SLAM
Maximum Correntropy Criterion with Variable Center
FiFTy: Large-scale File Fragment Type Identification using Neural Networks
Meta-aware Learning in text-to-SQL Large Language Model
Bernstein approximation of optimal control problems
Implicit reconstructions of thin leaf surfaces from large, noisy point clouds
Accelerating Bayesian Optimal Experimental Design with Derivative-Informed Neural Operators
End-to-End Sound Source Separation Conditioned On Instrument Labels
Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation
AdaptAuth: Multi-Layered Behavioral and Credential Analysis for a Secure and Adaptive Authentication Framework for Password Security
Simulating, Visualizing and Playing with de Sitter and anti de Sitter spacetime
Learning pseudo-Boolean k-DNF and Submodular Functions
On Constructing Constrained Tree Automata Recognizing Ground Instances of Constrained Terms
OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
Equivalence and Duality of Polycyclic Codes Associated with Trinomials over Finite Fields
Asterisk Operator
Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation
Compiling Language Definitions: The ASF+SDF Compiler
A spatiotemporal two-level method for high-fidelity thermal analysis of laserpowder bed fusion
A Genetic Fuzzy-Enabled Framework on Robotic Manipulation for In-Space Servicing
Simulation of Intravoxel Incoherent Perfusion Signal Using a Realistic Capillary Network of a Mouse Brain
Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs
A survey on the generalized connectivity of graphs
Process, Structure, and Modularity in Reasoning with Uncertainty
Channel Attention Networks for Robust MR Fingerprinting Matching
An Asymptotically Optimal UCB Policy for Uniform Bandits of Unknown Support
Active flow control for three-dimensional cylinders through deep reinforcement learning
SIBILA: High-performance computing and interpretable machine learning join efforts toward personalised medicine in a novel decision-making tool
Non-linear dynamics of multibody systems: a system-based approach
Topology Reduction in Deep Convolutional Feature Extraction Networks
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
The Design Principles of Konrad Zuse's Mechanical Computers
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Extensible Logging and Empirical Attainment Function for IOHexperimenter
On action ground states of defocusing nonlinear Schrödinger equations
Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models
Tracing monadic computations and representing effects
PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network
Links between the Logarithmic Sobolev Inequality and the convolution inequalities for Entropy and Fisher Information
Shared active subspace for multivariate vector-valued functions
Concatenated LDPC-Polar Codes Decoding Through Belief Propagation
Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks
MASCOT: Analyzing Malware Evolution Through A Well-Curated Source Code Dataset
Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study
Understanding Deep Representations through Random Weights
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy
A congestion-dependent imbalance pricing mechanism for regions allowing passive balancing
Synergistic effects in threshold models on networks
Quantitative Toolchain Assurance
How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews
Distributed Heterogeneous Relational Data Warehouse In A Grid Environment
ACMo: Attribute Controllable Motion Generation
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Community Detection in Bipartite Networks with Stochastic Blockmodels
Decision support system for photovoltaic fault detection avoiding meteorological conditions
DevRank: Mining Influential Developers In Github
Is feature selection secure against training data poisoning?
The Poster Session of SSS 2005
ProDyn0: Inferring calponin homology domain stretching behavior using graph neural networks
An Efficient Adaptive Finite Element Method for Eigenvalue Problems
Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors
Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering
Asynchronous Distributed Protocol for Service Provisioning in the Edge-Cloud Continuum
Learning by Examples Based on Multi-level Optimization
Analysis and numerical analysis of the Helmholtz-Korteweg equation
Heuristic algorithms for finding distribution reducts in probabilistic rough set model
DeepEthnic: Multi-Label Ethnic Classification from Face Images
IDPL-PFOD2: A New Large-Scale Dataset for Printed Farsi Optical Character Recognition
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis
A Flexible Coupling Approach to Multi-Agent Planning under Incomplete Information
CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting
Completion Time Minimization in Fog-RANs using D2D Communications and Rate-Aware Network Coding
Growing Self-organized Design of Efficient and Robust Complex Networks
A Geometric Multigrid Preconditioning Strategy for DPG System Matrices
Describing the effect of influential spreaders on the different sectors of Indian market: a complex networks perspective
Compressive Hyperspectral Imaging Using Progressive Total Variation
LLM-Based Cooperative Agents using Information Relevance and Plan Validation
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop
RoRA-VLM: Robust Retrieval-Augmented Vision Language Models
Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Light4GS: Lightweight Compact 4D Gaussian Splatting Generation via Context Model
SiCo: A Size-Controllable Virtual Try-On Approach for Informed Decision-Making
TCG CREST System Description for the Second DISPLACE Challenge
An Effective Gram Matrix Characterizes Generalization in Deep Networks
Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media
Channel capacity of polar coding with a given polar mismatched successive cancellation decoder
Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics
Mixed Algorithm of SINDy and HAVOK for Measure-Based Analysis of Power System with Inverter-based Resources
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness
Throughput Enhancement Using Multiple Antennas in OFDM-based Ad Hoc Networks under Transceiver Impairments
New crossover operators for multiple subset selection tasks
Pushing the Envelope of Rotation Averaging for Visual SLAM
EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification
On deep-holes of Gabidulin codes
Towards Decentralized Heterogeneous Multi-Robot SLAM and Target Tracking
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
Robust Long-Tailed Learning under Label Noise
Ensemble Committees for Stock Return Classification and Prediction
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective
Blended Conditional Gradients: the unconditioning of conditional gradients
Domain Adaptation via Low-Rank Basis Approximation
Motion Deblurring using Spatiotemporal Phase Aperture Coding
An Empirical Study on User Reviews Targeting Mobile Apps' Security & Privacy
Understanding the Vulnerability of CLIP to Image Compression
Enhancing the Reliability in Machine Learning for Gravitational Wave Parameter Estimation with Attention-Based Models
The Multi-phase spatial meta-heuristic algorithm for public health emergency transportation
Quantum Fault Trees
A note on fractional derivative modeling of broadband frequency-dependent absorption: Model III
EvolveNav: Self-Improving Embodied Reasoning for LLM-Based Vision-Language Navigation
Nonlinearity helps the convergence of the inverse Born series
Detecting the Most Unusual Part of Two and Three-dimensional Digital Images
Interactive Configuration by Regular String Constraints
Collective Intelligence Outperforms Individual Talent: A Case Study in League of Legends
Computing on Anonymous Quantum Network
TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies?