yusuke1997/dblp-id-title huggingface dataset:
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Pattern-based Subterm Selection in Isabelle
Comparing Computational Pathology Foundation Models using Representational Similarity Analysis
Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity
Hinted Networks
Can LLMs Compute with Reasons?
New Tricks for Estimating Gradients of Expectations
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation
Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements
Binary Message Passing Decoding of Product Codes Based on Generalized Minimum Distance Decoding
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning
Opportunistic Spectrum Sensing and Transmissions
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates
Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube
On General Lattice Quantization Noise
VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions
Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy
Integral Forms in Matrix Lie Groups
Semi-sparsity Generalization for Variational Mesh Denoising
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
Stability-Constrained Learning for Frequency Regulation in Power Grids with Variable Inertia
TASC: Task-Aware Shared Control for Teleoperated Manipulation
The conforming virtual element method for polyharmonic and elastodynamics problems: a review
Optimal Batched Scheduling of Stochastic Processing Networks Using Atomic Action Decomposition
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
On the satisfiability problem for a 4-level quantified syllogistic and some applications to modal logic (extended version)
Identification of abrupt stiffness changes of structures with tuned mass dampers under sudden events
Online Learning, Stability, and Stochastic Gradient Descent
On the Capacity of Partially Cognitive Radios
On the speed of uniform convergence in Mercer's theorem
Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
MD-Bench: Engineering the in-core performance of short-range molecular dynamics kernels from state-of-the-art simulation packages
A time resolved clustering method revealing longterm structures and their short-term internal dynamics
Reinforcement learning in pursuit-evasion differential game: safety, stability and robustness
Weighted Tensor Completion for Time-Series Causal Inference
TLib: A Flexible C++ Tensor Framework for Numerical Tensor Calculus
Neural Quantum Digital Twins for Optimizing Quantum Annealing
Interpretable Fine-Gray Deep Survival Model for Competing Risks: Predicting Post-Discharge Foot Complications for Diabetic Patients in Ontario
Complexity of Modification Problems for Reciprocal Best Match Graphs
A Generative Framework for Personalized Sticker Retrieval
EXoN: EXplainable encoder Network
Getting Dynamic Line Ratings into Markets
The Voting Farm: A Distributed Class for Software Voting
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation
DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Dimension-independent Markov chain Monte Carlo on the sphere
Threat Detection In Self-Driving Vehicles Using Computer Vision
Mutual Scene Synthesis for Mixed Reality Telepresence
Causal Feature Selection for Responsible Machine Learning
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
UKTF: Unified Knowledge Tracing Framework for Subjective and Objective Assessments
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes
Living in a pandemic: adaptation of individual mobility and social activity in the US
Should you make your decisions on a WhIM? Data-Driven Decision making using a What-If Machine for Evaluation of Hypothetical Scenarios
E-MMDiT: Revisiting Multimodal Diffusion Transformer Design for Fast Image Synthesis under Limited Resources
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium
Complexity and Applications of Edge-Induced Vertex-Cuts
DLoRA-TrOCR: Mixed Text Mode Optical Character Recognition Based On Transformer
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
A Local Spectral Exterior Calculus for the Sphere and Application to the Shallow Water Equations
Enhancing the Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
Some sufficient conditions on Hamiltonian digraph
A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
Popularity Bias in Recommendation: A Multi-stakeholder Perspective
Switching Frequency as FPGA Monitor: Studying Degradation and Ageing Prognosis at Large Scale
Correct-by-construction model composition: Application to the Invasive Software Composition method
Microservices Anti Patterns: A Taxonomy
SPGD: Steepest Perturbed Gradient Descent Optimization
Word Spotting in Cursive Handwritten Documents using Modified Character Shape Codes
AI and the creative realm: A short review of current and future applications
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
Strong Amplifiers of Natural Selection: Proofs
Explainable Artificial Intelligent (XAI) for Predicting Asphalt Concrete Stiffness and Rutting Resistance: Integrating Bailey's Aggregate Gradation Method
Risk-aware black-box portfolio construction using Bayesian optimization with adaptive weighted Lagrangian estimator
Ambient IoT towards 6G: Standardization, Potentials, and Challenges
The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning
How to ensure a safe control strategy? Towards a SRL for urban transit autonomous operation
A Unified End-to-End Framework for Efficient Deep Image Compression
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification
A Hybrid Monte Carlo Architecture for Parameter Optimization
Can neural networks understand monotonicity reasoning?
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity
Exemplar-Guided Planing: Enhanced LLM Agent for KGQA
Comments on Improving Transferability Between Different Engineering Stages in the Development of Automated Material Flow Modules
DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud Completion
Efficient Programmable Random Variate Generation Accelerator from Sensor Noise
A general Markov decision process formalism for action-state entropy-regularized reward maximization
Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown
Learning to Order Sub-questions for Complex Question Answering
Cartesian Forest Matching
Open Data, Privacy, and Fair Information Principles: Towards a Balancing Framework
Gadget construction and structural convergence
Constraints on Multipartite Quantum Entropies
White paper on cybersecurity in the healthcare sector. The HEIR solution
Personalized Face Super-Resolution with Identity Decoupling and Fitting
A Grouping-based Scheduler for Efficient Channel Utilization under Age of Information Constraints
Channel Performance Estimations with Extended Channel Probing
Deep Networks with Fast Retraining
An Introduction to Collective Intelligence
Visual Forecasting of Time Series with Image-to-Image Regression
A Novel Theoretical Approach on Micro-Nano Robotic Networks Based on Density Matrices and Swarm Quantum Mechanics
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
Frequent-Itemset Mining using Locality-Sensitive Hashing
Comparing EQP and MOD_{p^k}P using Polynomial Degree Lower Bounds
Control and Placement of Finite-Resolution Intelligent Surfaces in IoT Systems with Imperfect CSI
Mixed Reality UI Adaptations with Inaccurate and Incomplete Objectives
RIS-Assisted Wireless Communications: Long-Term versus Short-Term Phase Shift Designs
A Dataset for the Detection of Dehumanizing Language
Low-complexity Multiclass Encryption by Compressed Sensing, Part II: Known-Plaintext Attacks
A 4-Approximation Algorithm for k-Prize Collecting Steiner Tree Problems
MGFs: Masked Gaussian Fields for Meshing Building based on Multi-View Images
Cyclic codes over $\mathbb{F}_{2^m}[u]/\langle u^k\rangle$ of oddly even length
Improved approximation algorithms for some capacitated k edge connectivity problems
inkn'hue: Enhancing Manga Colorization from Multiple Priors with Alignment Multi-Encoder VAE
A One-Class Decision Tree Based on Kernel Density Estimation
Hunting in the Dark: Metrics for Early Stage Traffic Discovery
Optimal Stopping Theory for a Distributionally Robust Seller
Robustness analysis of bimodal networks in the whole range of degree correlation
Windowed Backoff Algorithms for WiFi: Theory and Performance under Batched Arrivals
War of 2050: a Battle for Information, Communications, and Computer Security
Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction
Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance
Asymptotically Optimal Tree-based Group Key Management Schemes
A posteriori error estimates and adaptivity for locally conservative methods. Inexpensive implementation and evaluation, polytopal meshes, iterative linearization and algebraic solvers, and applications to complex porous media flows
Exploring Resolution-Wise Shared Attention in Hybrid Mamba-U-Nets for Improved Cross-Corpus Speech Enhancement
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network
The paradigm of complexity. Contributions for hypertext's formal approaches
Cross-spectral Periocular Recognition: A Survey
On tensor rank and commuting matrices
Algorithms for Image Analysis and Combination of Pattern Classifiers with Application to Medical Diagnosis
DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis
Faster Regret Matching
Ethical Framework for Responsible Foundational Models in Medical Imaging
Concept Generalization in Humans and Large Language Models: Insights from the Number Game
REaL: Real-time Face Detection and Recognition Using Euclidean Space and Likelihood Estimation
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving
Numerical solution of a parabolic system in air pollution
A data-driven model order reduction approach for Stokes flow through random porous media
Material Identification Via RFID For Smart Shopping
Environment reconstruction on depth images using Generative Adversarial Networks
Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning
Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems
Mitigating the Antigenic Data Bottleneck: Semi-supervised Learning with Protein Language Models for Influenza A Surveillance
Infinitesimal containment and sparse factors of iid
Label Distribution Learning for Generalizable Multi-source Person Re-identification
Analyse non standard du bruit
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution
Beyond the Longest Letter-duplicated Subsequence Problem
Cache Miss Estimation for Non-Stationary Request Processes
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism
Functional Reactive Programming with Effects, A More Permissive Approach
On the error rate of importance sampling with randomized quasi-Monte Carlo
MIMIC-SR-ICD11: A Dataset for Narrative-Based Diagnosis
Autocalibration Subsystem for Cable-Driven Parallel Robots
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
Advanced Load Shedding for Integrated Power and Energy Systems
Evolutionary algorithms in genetic regulatory networks model
Dflow, a Python framework for constructing cloud-native AI-for-Science workflows
Compression and the origins of Zipf's law of abbreviation
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis
Predicting language diversity with complex network
On a 2-relative entropy
Entropy-regularized Point-based Value Iteration
Using nonassociative algebras to classify skew polycyclic codes up to isometry and equivalence
Local Contrast Learning
End-to-End Quality of Service Management in the Physical Internet: a Digital Internet Inspired Multi-Domain Approach
A practical approach to ontology-enabled control systems for astronomical instrumentation
Generation of Accurate Translational Motion for Testing Inertial Sensors
Information Ecosystem Reengineering via Public Sector Knowledge Representation
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection
Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms
Joint Radiation Power, Antenna Position, and Beamforming Optimization for Pinching-Antenna Systems with Motion Power Consumption
Transliterating Kurdish texts in Latin into Persian-Arabic script
Learning Graph Quantized Tokenizers for Transformers
Explainable Machine Learning for Oxygen Diffusion in Perovskites and Pyrochlores
Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers
Cross-domain novelty seeking trait mining for sequential recommendation
BeautifAI - A Personalised Occasion-oriented Makeup Recommendation System
SparseOptimizer: Sparsify Language Models through Moreau-Yosida Regularization and Accelerate through Compiler Co-design
Omni-sourced Webly-supervised Learning for Video Recognition
A Smart and Defensive Human-Machine Approach to Code Analysis
Abstractive summarization of hospitalisation histories with transformer networks
Optimized implementation of the conjugate gradient algorithm for FPGA-based platforms using the Dirac-Wilson operator as an example
Ineffectiveness for Search and Undecidability of PCSP Meta-Problems
Navigation of a Three-Link Microswimmer via Deep Reinforcement Learning
Clean-label Backdoor Attack against Deep Hashing based Retrieval
SOS lower bounds with hard constraints: think global, act local
Inverse-Designed Dot Product Engine
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving
Cooperative Aerial Robot Inspection Challenge: A Benchmark for Heterogeneous Multi-UAV Planning and Lessons Learned
Memory-based control with recurrent neural networks
Nepali Video Captioning using CNN-RNN Architecture
MORA: an Energy-Aware Slack Reclamation Scheme for Scheduling Sporadic Real-Time Tasks upon Multiprocessor Platforms
Two-Layer Volt/VAR Control in Unbalanced Active Distribution Systems: Efficient Optimization and Accurate Tracking
Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
Gradient Inversion in Federated Reinforcement Learning
Directed clustering in weighted networks: a new perspective
Joint Jammer Mitigation and Data Detection
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
Equivalence of Probabilistic Tournament and Polynomial Ranking Selection
Finding agreement cherry-reduced subnetworks in level-1 networks
Private Information Retrieval from MDS Coded Data in Distributed Storage Systems
MEGADOCK-GUI: a GUI-based complete cross-docking tool for exploring protein-protein interactions
Prior Attention for Style-aware Sequence-to-Sequence Models
Riccati-based feedback stabilization for unstable Power system models
A Monitoring System for the BaBar INFN Computing Cluster
Verification of crossbar-based lattice through modeling technique
Security Management Model in Cloud Computing Environment
Augmentation through Laundering Attacks for Audio Spoof Detection
Toward end-to-end interpretable convolutional neural networks for waveform signals
WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs
DiffCap: Diffusion-based Real-time Human Motion Capture using Sparse IMUs and a Monocular Camera
Cyc3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization
Sensitivity to User Mischaracterizations in Electric Vehicle Charging
Resource Elasticity for Distributed Data Stream Processing: A Survey and Future Directions
The Asymptotic Bit Error Probability of LDPC Codes for the Binary Erasure Channel with Finite Iteration Number
Random Drift Particle Swarm Optimization
A framework supporting imprecise queries and data
Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Introduction to Arabic Speech Recognition Using CMUSphinx System
Stochastic Games with Disjunctions of Multiple Objectives (Technical Report)
Learning Costs for Structured Monge Displacements
Distributed Consensus Observers Based H-infinity Control of Dissipative PDE Systems Using Sensor Networks
minimax: Efficient Baselines for Autocurricula in JAX
GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
FiGCLIP: Fine-Grained CLIP Adaptation via Densely Annotated Videos
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
WiPIN: Operation-free Passive Person Identification Using Wi-Fi Signals
Toward Software Measurement and Quality Analysis of MARF and GIPSY Case Studies a Team 13 SOEN6611-S14 Project Report
Approximations for Monotone and Non-monotone Submodular Maximization with Knapsack Constraints
Competing Optimally Against An Imperfect Prophet
Efficient Interpolation-Based Decoding of Interleaved Subspace and Gabidulin Codes
FuzzDistill: Intelligent Fuzzing Target Selection using Compile-Time Analysis and Machine Learning
Enhance Lifelong Model Editing with Continuous Data-Adapter Association
Technocratic model of the human auditory system
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline
Analysis of Value Iteration Through Absolute Probability Sequences
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection
The H-index Paradox: Your Coauthors Have a Higher H-index than You Do
GeoMoE: Divide-and-Conquer Motion Field Modeling with Mixture-of-Experts for Two-View Geometry
VirtualSync+: Timing Optimization with Virtual Synchronization
Fundamentals of effective cloud management for the new NASA Astrophysics Data System
Compensation for reactive power and harmonic current drawn by a non-linear load in a pv-micro hydro grid
Prediction Model Based on Integrated Political Economy System: The Case of US Presidential Election
Markerless Augmented Reality Registration for Surgical Guidance: A Multi-Anatomy Clinical Accuracy Study
Potential Gap: Using Reactive Policies to Guarantee Safe Navigation
Analysing Mechanisms for Virtual Channel Management in Low-Diameter networks
MSU-Bench: Towards Understanding the Conversational Multi-talker Scenarios
CoCoA: A Generalized Approach to Uncertainty Quantification by Integrating Confidence and Consistency of LLM Outputs
A Unified Framework for Initial Semantics
Comparing SVM and Naive Bayes classifiers for text categorization with Wikitology as knowledge enrichment
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Two-stage stochastic programming approach for path planning problems under travel time and availability uncertainties
CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval
New Losses for Generative Adversarial Learning
Research on Solution Space of Bipartite Graph Vertex-Cover by Maximum Matchings
Probabilistic model predictive safety certification for learning-based control
Formalizing Distribution Inference Risks
The (1|1) R -Centroid Problem on the Plane
Spatially Coupled Sparse Codes on Graphs - Theory and Practice
Remarks on pointed digital homotopy
Diagnosing Medical Datasets with Training Dynamics
PromptTailor: Multi-turn Intent-Aligned Prompt Synthesis for Lightweight LLMs
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism
DataSist: A Python-based library for easy data analysis, visualization and modeling
Subnational Geocoding of Global Disasters Using Large Language Models
Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks
Feedback Motion Planning Under Non-Gaussian Uncertainty and Non-Convex State Constraints
Converting OpenStreetMap (OSM) Data to Functional Road Networks for Downstream Applications
Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems
Injectivity of Multi-window Gabor Phase Retrieval
"Mapping What I Feel": Understanding Affective Geovisualization Design Through the Lens of People-Place Relationships
What is the relationship between Slow Feature Analysis and the Successor Representation?
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
The function space to describe the dynamics of linear systems
Deep Evolution for Facial Emotion Recognition
Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results
Resource Aware Person Re-identification across Multiple Resolutions
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking
Stabilized integrating factor Runge-Kutta method and unconditional preservation of maximum bound principle
Online Kernel Dynamic Mode Decomposition for Streaming Time Series Forecasting with Adaptive Windowing
MC 2 : Multi-concept Guidance for Customized Multi-concept Generation
Explaining Deep Learning-Based Networked Systems
UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time
A unified recipe for deriving (time-uniform) PAC-Bayes bounds
MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones
CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight
Cascaded Prediction and Asynchronous Execution of Iterative Algorithms on Heterogeneous Platforms
Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
A field- and time-normalized Bayesian approach to measuring the impact of a publication