yusuke1997/dblp-id-title huggingface dataset:
CoPhIR: a Test Collection for Content-Based Image Retrieval
VGAER: graph neural network reconstruction based community detection
Reducing Air Pollution through Machine Learning
Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph
xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Endo-G 2 T: Geometry-Guided & Temporally Aware Time-Embedded 4DGS For Endoscopic Scenes
VLP: A Survey on Vision-Language Pre-training
Towards Zero Touch Networks: From the Perspective of Hierarchical Language Systems
Optimal estimation of sparse topic models
Spectral and Energy Efficiency in 3-Way Relay Channels with Circular Message Exchanges
Towards Compatible Fine-tuning for Vision-Language Model Updates
Spark Level Sparsity and the ℓ 1 Tail Minimization
Object Detection based on the Collection of Geometric Evidence
Bayesian Optimization with Output-Weighted Importance Sampling
Learning Hidden Markov Models using Non-Negative Matrix Factorization
Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training
Evaluating the Usefulness of Sentiment Information for Focused Crawlers
Optimal program-size complexity for self-assembly at temperature 1 in 3D
Role of risk and information in a group formation experiment on a small-world network
A Data-Driven Model with Hysteresis Compensation for I2RIS Robot
Privacy-Preserving Aggregation in Federated Learning: A Survey
ExpertBayes: Automatically refining manually built Bayesian networks
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
An Open Distributed Architecture for Flexible Hybrid Assembly Systems: A Model Driven Engineering Approach
Multiscale finite elements through advection-induced coordinates for transient advection-diffusion equations
Sigma Worksheet: Interactive Construction of OLAP Queries
One-bit compressed sensing with non-Gaussian measurements
MoCTEFuse: Illumination-Gated Mixture of Chiral Transformer Experts for Multi-Level Infrared and Visible Image Fusion
Analysis of memory in LSTM-RNNs for source separation
An Alternative Method for Solving Security-Constrained Unit Commitment with Neural Network Based Battery Degradation Model
Real-time Multi-view Omnidirectional Depth Estimation System for Robots and Autonomous Driving on Real Scenes
High Dynamic Range and Super-Resolution from Raw Image Bursts
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention
Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs
Considerations for Minimizing Data Collection Biases for Eliciting Natural Behavior in Human-Robot Interaction
New Frontiers in Fighting Misinformation
Equi-isoclinic subspaces, covers of the complete graph, and complex conference matrices
Blockchain Data Analysis in the Era of Large-Language Models
Private Domain Adaptation from a Public Source
Vision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model
HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation in Hexapod Robot
LSANet: Feature Learning on Point Sets by Local Spatial Attention
NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction
Quantum Uncertainty in Decision Theory
Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving
Symbolic verification of Apple's Find My location-tracking protocol
NetPress: Dynamically Generated LLM Benchmarks for Network Applications
Recovery and Analysis of Architecture Descriptions using Centrality Measures
Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling
A Survey on Consortium Blockchain Consensus Mechanisms
Exploiting Data Hierarchy as a New Modality for Contrastive Learning
Modal Reactors
R.F. Pollution Reduction in Cellular Communication
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network
Are Training Resources Insufficient? Predict First Then Explain!
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis
A QoS based Routing Approach using Genetic Algorithms for Bandwidth Maximization in Network
The Minimal Binomial Multiples of Polynomials over Finite Fields
Availability of titles on peer-to-peer file sharing networks
Building Classifiers to Predict the Start of Glucose-Lowering Pharmacotherapy Using Belgian Health Expenditure Data
LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning
Accented Speech Recognition: A Survey
Multi-view user representation learning for user matching without personal information
Strategic Defense against Stealthy Link Flooding Attacks: A Signaling Game Approach
Sampled-data H ∞ Optimization for Self-interference Suppression in Baseband Signal Subspaces
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion
Constraint-based sequence mining using constraint programming
GroupDiff: Diffusion-based Group Portrait Editing
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation
M2fNet: Multi-modal Forest Monitoring Network on Large-scale Virtual Dataset
FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents
Portuguese FAQ for Financial Services
Decoupled-Value Attention for Prior-Data Fitted Networks: GP Inference for Physical Equations
Bayesian multitask inverse reinforcement learning
AdaBoost and robust one-bit compressed sensing
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Auditable Register Emulations
Network Estimation and Packet Delivery Prediction for Control over Wireless Mesh Networks
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Deviation Maximization for Rank-Revealing QR Factorizations
Swarming of interacting robots with Lévy strategies: a macroscopic description
GERD: Geometric event response data generation
A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
Causal Fine-Tuning and Effect Calibration of Non-Causal Predictive Models
AI for Science: An Emerging Agenda
Error-Aware Spatial Ensembles for Video Frame Interpolation
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
Quadratic Surface Support Vector Machine with L1 Norm Regularization
A Comparison of I/O-Efficient Algorithms for Visibility Computation on Massive Grid Terrains
Signal Reconstruction from Rechargeable Wireless Sensor Networks using Sparse Random Projections
Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
Nucleation-free independent graphs with implied nonedges
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
Coupling Agent-based Modeling and Life Cycle Assessment to Analyze Trade-offs in Resilient Energy Transitions
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering
Learning Nonlinear Dynamic Models
Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments
Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languages
Scene Style Text Editing
Towards Robust Speech Recognition for Jamaican Patois Music Transcription
A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups
Dynamical perturbation theory for eigenvalue problems
D2D-based V2V Communications with Latency and Reliability Constraints
FSSD: Feature Fusion Single Shot Multibox Detector
Fast Locality Sensitive Hashing for Beam Search on GPU
A Modular Framework for Reinforcement Learning Optimal Execution
Structured Personalization: Modeling Constraints as Matroids for Data-Minimal LLM Agents
A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal
Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
Grounded in Context: Retrieval-Based Method for Hallucination Detection
Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery
Static Data Structure for Discrete Advance Bandwidth Reservations on the Internet
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs
Improving OCR using internal document redundancy
Daedalus 2: Autorotation Entry, Descent and Landing Experiment on REXUS29
Autonomous Person-Specific Following Robot
MedBioLM: Optimizing Medical and Biological QA with Fine-Tuned Large Language Models and Retrieval-Augmented Generation
Expressing Preferences using Preference Set Constraint Atoms
ARMADA: Autonomous Online Failure Detection and Human Shared Control Empower Scalable Real-world Deployment and Adaptation
Distinguishing Scams and Fraud with Ensemble Learning
Numerical Optimal Transport from 1D to 2D using a Non-local Monge-Ampère Equation
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models?
Exploring galaxy evolution with generative models
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments
Explain like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation
Nearest Neighbor Classication for Classical Image Upsampling
Tight Query Complexity Lower Bounds for PCA via Finite Sample Deformed Wigner Law
Algorithmic Results for Weak Roman Domination Problem in Graphs
Localized Persistent Homologies for more Effective Deep Learning
MTDP: Modulated Transformer Diffusion Policy Model
On Reconfigurable Bisimulation, with an Application to the Distributed Synthesis Problem
High Performance Space Debris Tracking in Complex Skylight Backgrounds with a Large-Scale Dataset
Multiscale modeling for a class of high-contrast heterogeneous sign-changing problems
Sample Relationship from Learning Dynamics Matters for Generalisation
Personalized Guidelines for Design, Implementation and Evaluation of Anti-phishing Interventions
Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees
Ophtha-LLaMA2: A Large Language Model for Ophthalmology
Towards Continuous Compounding Effects and Agile Practices in Educational Experimentation
Strategies and performances of Soft Input Decryption
On Efficient Distributed Construction of Near Optimal Routing Schemes
Speedup of Micromagnetic Simulations with C++ AMP On Graphics Processing Units
A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft
Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of SSWP
Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
Pointlike sets for varieties determined by groups
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
Learning accurate rigid registration for longitudinal brain MRI from synthetic data
Taming Transformers for Realistic Lidar Point Cloud Generation
Computational Distinguishability of Quantum Channels
A Model-Centric Review of Deep Learning for Protein Design
Online Optimization on Hadamard Manifolds: Curvature Independent Regret Bounds on Horospherically Convex Objectives
The Peacock Encryption Method
Dynamic pricing with Bayesian updates from online reviews
Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Recognizing Hand Use and Hand Role at Home After Stroke from Egocentric Video
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference
Trustworthiness of Legal Considerations for the Use of LLMs in Education
The complexity of linear-time temporal logic over the class of ordinals
Learning Subglacial Bed Topography from Sparse Radar with Physics-Guided Residuals
Lingua Custodi's participation at the WMT 2025 Terminology shared task
Enhancing network forensics with particle swarm and deep learning: The particle deep framework
Software Engineering Meets Network Engineering: Conceptual Model for Events Monitoring and Logging
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge
Multilingual End to End Entity Linking
Coloring random graphs
Strategic Voting and the Logic of Knowledge
ROD: RGB-Only Fast and Efficient Off-road Freespace Detection
Survey on Modeling Intensity Function of Hawkes Process Using Neural Models
From Automation to Cognition: Redefining the Roles of Educators and Generative AI in Computing Education
Upstream Demand Uncertainty in a Two-Echelon Supply Chain: Comparative Statics via Stochastic Orderings
DiscoTrack: A Multilingual LLM Benchmark for Discourse Tracking
Emotional Speaker Identification using a Novel Capsule Nets Model
Human-in-the-Loop Simulation for Real-Time Exploration of HVAC Demand Flexibility
Data-driven Algorithm Design
Towards Data-Efficient Pretraining for Atomic Property Prediction
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length
Neuroevolution in Deep Learning: The Role of Neutrality
BiRQ: Bi-Level Self-Labeling Random Quantization for Self-Supervised Speech Recognition
Prescient Beamforming by Primary Transmitters in Interweave Cognitive Radio Networks with a Single Primary Receiver
Tensorized Transformer for Dynamical Systems Modeling
Generalized Rich-Club Ordering in Networks
Exact Quantum Algorithm for Unit Commitment Optimization based on Partially Connected Quantum Neural Networks
Modeling and Analyzing the Vocal Tract under Normal and Stressful Talking Conditions
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech
Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System
MedicoSAM: Towards foundation models for medical image segmentation
Designing Rating Systems to Promote Mutual Security for Interconnected Networks
Distributed Testing of Graph Isomorphism in the CONGEST model
Reinforcement learning based recommender systems: A survey
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
Correcting quantum errors one gradient step at a time
Generalized Cores
Half-Iterates of x exp(x), x+1/x and arcsinh(x)
Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification
Time-delay systems that defy intuition: nonrobust forward completeness and related (non)properties
PAPER-HILT: Personalized and Adaptive Privacy-Aware Early-Exit for Reinforcement Learning in Human-in-the-Loop Systems
Packaging code for reproducible research in the public sector
On the Transmission Probabilities in Quantum Key Distribution Systems over FSO Links
A computational framework for evaluating the role of mobility on the propagation of epidemics on point processes
Neural Signal Multiplexing via Compressed Sensing
Understanding Braess' Paradox in power grids
ScheduLeak: A Novel Scheduler Side-Channel Attack Against Real-Time Autonomous Control Systems
Maximal induced matchings in triangle-free graphs
NIZKCTF: A Non-Interactive Zero-Knowledge Capture the Flag Platform
DP-Net: Learning Discriminative Parts for image recognition
Separability by Piecewise Testable Languages is PTime-Complete
RL-Controller: a reinforcement learning framework for active structural control
Unraveling Fundamental Properties of Power System Resilience Curves using Unsupervised Machine Learning
Solution of Definite Integrals using Functional Link Artificial Neural Networks
On the Complexity of Multitape Automata Equivalence
Goodness-of-fit Test on the Number of Biclusters in Relational Data Matrix
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization
Exploiting Tree Structure for Credit Assignment in RL Training of LLMs
War pact model of shrinking networks
Large Language Models for Design Structure Matrix Optimization
Zk-SNARK Marketplace with Proof of Useful Work
TSO: Self-Training with Scaled Preference Optimization
Automated Human Claustrum Segmentation using Deep Learning Technologies
Towards Rich, Portable, and Large-Scale Pedestrian Data Collection
Graph-Based Decoding for Event Sequencing and Coreference Resolution
Preconditioned Subspace Langevin Monte Carlo
LOv-Calculus: A Graphical Language for Linear Optical Quantum Circuits
Inducing Regular Grammars Using Recurrent Neural Networks
3D Structure from 2D Microscopy images using Deep Learning
RepoSummary: Feature-Oriented Summarization and Documentation Generation for Code Repositories
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction
Generative artificial intelligence for computational chemistry: a roadmap to predicting emergent phenomena
On Monotone Inclusions, Acceleration and Closed-Loop Control
Synthetic Audio Forensics Evaluation (SAFE) Challenge
Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples
A Study of Network Based Mobility Management Schemes, 6LoWPAN Mobility, Open Issues and Proposed Solutions
Combining (second-order) graph-based and headed span-based projective dependency parsing
Chopping More Finely: Finite Countermodels in Modal Logic via the Subdivision Construction
Closed-Loop GAN for continual Learning
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition
AI-Researcher: Autonomous Scientific Innovation
PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation
Making a Science of Model Search
Lipschitz Bandits: Regret Lower Bounds and Optimal Algorithms
ReclAIm: A multi-agent framework for degradation-aware performance tuning of medical imaging AI
Design of aggregators for the day-ahead management of microgrids providing active and reactive power services
Large Deviation Delay Analysis of Queue-Aware Multi-user MIMO Systems with Multi-timescale Mobile-Driven Feedback
A Systematic Characterization of LLM Inference on GPUs
L^1 data fitting for Inverse Problems yields optimal rates of convergence in case of discretized white Gaussian noise
Prime Factorization in Models of PV 1
Counterfactual Explanations for Reinforcement Learning
Boosting Open-Vocabulary Object Detection by Handling Background Samples
FMMI: Flow Matching Mutual Information Estimation
PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X
Downlink Non-Orthogonal Multiple Access without SIC for Block Fading Channels: An Algebraic Rotation Approach
The Space Between: On Folding, Symmetries and Sampling
A Novel Stochastic Decoding of LDPC Codes with Quantitative Guarantees
Improving Response Time of Home IoT Services in Federated Learning
Auto-Stabilized Weak Galerkin Finite Element Methods on Polytopal Meshes without Convexity Constraints
The Interplay Between Symmetries and Impact Effects on Hybrid Mechanical Systems
Logarithmic Weisfeiler-Leman Identifies All Graphs of Bounded Rank Width
Unfolding Convex Polyhedra via Radially Monotone Cut Trees
Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Dynamic collision avoidance for multiple robotic manipulators based on a non-cooperative multi-agent game
A deep active learning system for species identification and counting in camera trap images
Graph Convolutional Networks Meet with High Dimensionality Reduction
Information Leakage through Physical Layer Supply Voltage Coupling Vulnerability
Equitable Community Resilience: The Case of Winter Storm Uri in Texas
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Retrieval-Augmented Approach for Unsupervised Anomalous Sound Detection and Captioning without Model Training
Seismic analysis based on a new interval method with incomplete information
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning
Can We Learn Communication-Efficient Optimizers?
A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region
CoSineVerifier: Tool-Augmented Answer Verification for Computation-Oriented Scientific Questions
Analytically Tractable Bayesian Deep Q-Learning
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
Detecting commonality and variability in use-case diagram variants
A stochastic version of Stein Variational Gradient Descent for efficient sampling
Efficacy Analysis of Power Swing Blocking and Out-of-Step Tripping Functions in Grid-Following VSC Systems
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Language Diversity across the Consonant Inventories: A Study in the Framework of Complex Networks
Toward a Sparse and Interpretable Audio Codec
Stability-informed Bayesian Optimization for MPC Cost Function Learning
A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers
Assessing the Maturity of Model Maintenance Techniques for AIOps Solutions
Learning dissipative Hamiltonian dynamics with reproducing kernel Hilbert spaces and random Fourier features
CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion
Projective reconstruction in algebraic vision
Optimized Excitation Signal Tailored to Pertinent Dynamic Process Characteristics
Conscious and controlling elements in combinatorial group testing problems with more defectives
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation
MWTP: Monterrey Weather, Traffic and Pollution Database for Geospatial Analysis
Leveraging Explainability for Comprehending Referring Expressions in the Real World
3D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesis
A Low-Cost Lane-Following Algorithm for Cyber-Physical Robots
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
Sequential anomaly detection in the presence of noise and limited feedback
Secret Key Capacity For Multipleaccess Channel With Public Feedback
Unified Software Engineering agent as AI Software Engineer
Note on the offspring distribution for group testing in the linear regime
Temporal Binding Foundation Model for Material Property Recognition via Tactile Sequence Perception
ACE: A Consent-Embedded privacy-preserving search on genomic database
Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement
Efficient model selection in switching linear dynamic systems
Unmatched uncertainty mitigation through neural network supported model predictive control