yusuke1997/dblp-id-title huggingface dataset:
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object Detection
Deep Learning with Label Noise: A Hierarchical Approach
Location-Aided Coordinated Analog Precoding for Uplink Multi-User Millimeter Wave Systems
Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis
Explaining Natural Language Query Results
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes
Pandemic Pulse: Unraveling and Modeling Social Signals during the COVID-19 Pandemic
Adaptive Control: Algorithms, Analysis and Applications
Path-Based Function Embedding and its Application to Specification Mining
Finite two-dimensional proof systems for non-finitely axiomatizable logics
Using Atom-Like Local Image Features to Study Human Genetics and Neuroanatomy in Large Sets of 3D Medical Image Volumes
Lexical Manifold Reconfiguration in Large Language Models: A Novel Architectural Approach for Contextual Modulation
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification
Improving Human Decision-Making with Machine Learning
The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations
Accurate Forgetting for All-in-One Image Restoration Model
Flow-Anchored Consistency Models
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback
Using LLMs for Analyzing AIS Data
Finite Sample Analysis of Subspace Identification Methods
Towards Representation and Validation of Knowledge in Students' Learning Pathway Using Variability Modeling Technique
M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome
Optimal Inspection of Rumors in Networks
Optimal Power Allocation for Fixed-Gain Half-Duplex Amplify-and-Forward Relaying over Rayleigh Fading Channels
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
SLAM : Solutions lexicales automatique pour métaphores
Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization
Specification of Products and Product Lines
Joint Association and Phase Shifts Design for UAV-mounted Stacked Intelligent Metasurfaces-assisted Communications
Random Generation of Git Graphs
Contextualize, Show and Tell: A Neural Visual Storyteller
Voice Biomarker Identification for Effects of Deep-Brain Stimulation on Parkinson's Disease
From Principles to Rules: A Regulatory Approach for Frontier AI
On the Divergence of Decentralized Non-Convex Optimization
A New Framework to Adopt Multidimensional Databases for Organizational Information System Strategies
Research on Novelty Measurement Indicator of Academic Papers Based on the Atypical Recombination of Knowledge
Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces
Small Cohort of Epilepsy Patients Showed Increased Activity on Facebook before Sudden Unexpected Death
Leveraging large language models for structured information extraction from pathology reports
Faster Algorithm for Structured John Ellipsoid Computation
A Decade of Research for Image Compression In Multimedia Laboratory
Criteria for the numerical constant recognition
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
A Polynomial-Time Approximation Scheme for The Airplane Refueling Problem
On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo
Deciding Graph non-Hamiltonicity via a Closure Algorithm
Analysis and Validation of Image Search Engines in Histopathology
Automated Breast Lesion Segmentation in Ultrasound Images
Relational Type Theory (All Proofs)
Movie Box office Prediction via Joint Actor Representations and Social Media Sentiment
Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction
Maximizing the efficiency of human feedback in AI alignment: a comparative analysis
An Experiment with Electric Guitar Signals for Exploring the Virtuosity based on the Entropy of Music
An Inductive Synthesis Framework for Verifiable Reinforcement Learning
Scalable graph-based individual named entity identification
A Parametric Analysis of Project Management Performance to Enhance Software Development Process
Initial Steps in Integrating Large Reasoning and Action Models for Service Composition
Defect Detection Efficiency A Combined Approach
Hybrid Online Certificate Status Protocol with Certificate Revocation List for Smart Grid Public Key Infrastructure
Establishing Traceability Links between Release Notes & Software Artifacts: Practitioners' Perspectives
A Comparative Study of Downlink MIMO Cellular Networks with Co-located and Distributed Base-Station Antennas
Classifying Data with Local Hamiltonians
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
On the Non-Existence of Nash Equilibrium in Games with Resource-Bounded Players
BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
A Probabilistic-based Drift Correction Module for Visual Inertial SLAMs
ReZero: Region-customizable Sound Extraction
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks
Understanding Information Spreading in Social Media during Hurricane Sandy: User Activity and Network Properties
Clock Synchronization Is Almost Impossible with Bounded Memory
Stable Desynchronization for Wireless Sensor Networks: (I) Concepts and Algorithms
Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images
Beyond series-parallel concurrent systems: the case of arch processes
Prompting Implicit Discourse Relation Annotation
Optimizing AIREBO: Navigating the Journey from Complex Legacy Code to High Performance
Layer-adaptive Structured Pruning Guided by Latency
Joint Channel Estimation, Activity Detection and Decoding using Dynamic Message-Scheduling for Machine-Type Communications
Particle Swarm Optimization for Realizing Intelligent Routing in Networks with Quality Grading
Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
Security Implications of User Non-compliance Behavior to Software Updates: A Risk Assessment Study
A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration
Fundamental limits of weak learnability in high-dimensional multi-index models
Uncertainty Management in Power System Operation Decision Making
Analysis of conforming, non-matching, and polygonal methods for Darcy and advection-diffusion-reaction simulations in discrete fracture networks
Comment on "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling"
Stabilization of a matrix via a low rank-adaptive ODE
Parallel Vision Token Scheduling for Fast and Accurate Multimodal LMMs Inference
A mathematical model for meniscus cartilage regeneration
DS@GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention models
Dual-Weighted Reinforcement Learning for Generative Preference Modeling
Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications
Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis
Self-Admitted GenAI Usage in Open-Source Software
GANGR: GAN-Assisted Scalable and Efficient Global Routing Parallelization
TSAMT: Time-Series-Analysis-based Motion Transfer among Multiple Cameras
Deep Probabilistic Graphical Modeling
Metric Ricci curvature for $PL$ manifolds
Chunking Strategies for Multimodal AI Systems
Simple Closed-Form Approximations for Achievable Information Rates of Coded Modulation Systems
A Minimal Perturbation Approach For The Rectangular Multiparameter Eigenvalue Problem
Social value and information quality in online health information search
On the Power of Multiplexing in Number-on-the-Forehead Protocols
Smart Flow Matching: On The Theory of Flow Matching Algorithms with Applications
Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems
Performance Modeling of Microservice Platforms Considering the Dynamics of the underlying Cloud Infrastructure
Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks
A Semi-Lagrangian Adaptive-Rank (SLAR) Method for Linear Advection and Nonlinear Vlasov-Poisson System
Convergence of a Lagrangian-Eulerian scheme via the weak asymptotic method
Sparse Linear Regression is Easy on Random Supports
Structured Spreadsheet Modelling and Implementation with Multiple Dimensions - Part 2: Implementation
Data-Driven Uncertainty Modeling for Robust Feedback Active Noise Control in Headphones
Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI
On Learning 3D Face Morphable Model from In-the-wild Images
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration
Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
Deep Learning based Moving Target Defence for Federated Learning against Poisoning Attack in MEC Systems with a 6G Wireless Model
Formal equivalence between global optimization consistency and random search
IntrinTrans: LLM-based Intrinsic Code Translator for RISC-V Vector
Generative Modeling of Time-Dependent Densities via Optimal Transport and Projection Pursuit
Unfoldings and coverings of weighted graphs
Labeling Case Similarity based on Co-Citation of Legal Articles in Judgment Documents with Empirical Dispute-Based Evaluation
Learning to swim efficiently in a nonuniform flow field
(Near) Optimal Parallelism Bound for Fully Asynchronous Coordinate Descent with Linear Speedup
Tight Bounds on Low-degree Spectral Concentration of Submodular and XOS functions
Growth of Sobolev norms and strong convergence for the discrete nonlinear Schr{ö}dinger equation
Spin glass model of in-context learning
Hotelling Deflation on Large Symmetric Spiked Tensors
A survey of the Vision Transformers and its CNN-Transformer based Variants
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking
A Dynamical Estimation and Prediction for Covid19 on Romania using ensemble neural networks
Think Visually, Reason Textually: Vision-Language Synergy in ARC
Proceedings 10th International Workshop on the ACL2 Theorem Prover and its Applications, ACL2 2011, Austin, Texas, USA, November 3-4, 2011
Gaussian random field approximation via Stein's method with applications to wide random neural networks
Improving population size adapting CMA-ES algorithm on step-size blow-up in weakly-structured multimodal functions
Dual Decomposition of Weights and Singular Value Low Rank Adaptation
Robust PDE Identification from Noisy Data
On the Actual Inefficiency of Efficient Negotiation Methods
Classifications as Linked Open Data. Challenges and Opportunities
Quantum Speedup for Polar Maximum Likelihood Decoding
Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions
Eigenvector centrality of nodes in multiplex networks
Dynamic Control of Interference Limited Underlay D2D Network
Attention with Trained Embeddings Provably Selects Important Tokens
Should Answer Immediately or Wait for Further Information? A Novel Wait-or-Answer Task and Its Predictive Approach
Implicit recurrent networks: A novel approach to stationary input processing with recurrent neural networks in deep learning
On the absolute irreducibility of hyperplane sections of generalized Fermat varieties in P 3 and the conjecture on exceptional APN functions: the Kasami-Welch degree case
Fully discrete Heterogeneous Multiscale Method for parabolic problems with multiple spatial and temporal scales
A Second Look at Counting Triangles in Graph Streams
On the Evolution of Knowledge Graphs: A Survey and Perspective
Masked Language Models are Good Heterogeneous Graph Generalizers
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities
The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
Revisiting the Majority Problem: Average-Case Analysis with Arbitrarily Many Colours
The Constitutions of Web3
Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning
On the injectivity of the global function of a cellular automaton in the hyperbolic plane (extended abstract)
A-MFST: Adaptive Multi-Flow Sparse Tracker for Real-Time Tissue Tracking Under Occlusion
Rethinking Visual Information Processing in Multimodal LLMs
A linear bound for the Colin de Verdiére parameter μ for graphs embedded on surfaces
Learning from Satisfying Assignments Using Risk Minimization
Generative Design of Periodic Orbits in the Restricted Three-Body Problem
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence
FragIt: A Tool to Prepare Input Files for Fragment Based Quantum Chemical Calculations
Counterfactual reasoning: Do language models need world knowledge for causal understanding?
A Higher-order Framework for Decision Problems and Games
A Linearithmic Time Algorithm for a Shortest Vector Problem in Compute-and-Forward Design
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles
Retinal Vessel Segmentation based on Fully Convolutional Networks
scRNA-seq Data Clustering by Cluster-aware Iterative Contrastive Learning
ExKMC: Expanding Explainable k-Means Clustering
Mixture of Group Experts for Learning Invariant Representations
Spherical Wavefront Near-Field DoA Estimation in THz Automotive Radar
freud: A Software Suite for High Throughput Analysis of Particle Simulation Data
Future Intelligent Data link and Unit-Level Combat System Based on Global Combat Cloud
ARbis Pictus: A Study of Language Learning with Augmented Reality
Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations
Low-overhead General-purpose Near-Data Processing in CXL Memory Expanders
On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-n Recommendation
Using human and robot synthetic data for training smart hand tools
Epidemic paradox induced by awareness driven network dynamics
Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats
Navigating information and uncertainty: A fuzzy logic model to approach transparency, democracy and social wellbeing
An LSTM-PINN Hybrid Method to the specific problem of population forecasting
Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations
Graph Representation learning for Audio & Music genre Classification
Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection
FedJAX: Federated learning simulation with JAX
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Eating Speed Measurement Using Wrist-Worn IMU Sensors in Free-Living Environments
Matrix compression along isogenic blocks
Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation
A Survey on Tiering and Caching in High-Performance Storage Systems
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
Composite Optimization with Error Feedback: the Dual Averaging Approach
PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows
Diagnostic Method for Hydropower Plant Condition-based Maintenance combining Autoencoder with Clustering Algorithms
Modelling the Structure and Dynamics of Science Using Books
Robust Adaptive Model Predictive Control with Worst-Case Cost
Towards Robust 2D Convolution for Reliable Visual Recognition
Practically Stabilizing Virtual Synchrony
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
On the structure of non-full-rank perfect codes
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes
Deep Cross Polarimetric Thermal-to-visible Face Recognition
SIP: Autotuning GPU Native Schedules via Stochastic Instruction Perturbation
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge
Using contrastive learning to improve the performance of steganalysis schemes
Searching a bitstream in linear time for the longest substring of any given density
Sample Complexity of Variance-reduced Distributionally Robust Q-learning
The Effects of Short Video-Sharing Services on Video Copy Detection
Attention Pooling Enhances NCA-based Classification of Microscopy Images
Obtaining Better Image Representations by Combining Complementary Activation Features of Multiple ConvNet Layers for Transfer Learning
Orthogonal Deep Models As Defense Against Black-Box Attacks
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
Nish: A Novel Negative Stimulated Hybrid Activation Function
The global extended-rational Arnoldi method for matrix function approximation
Solvability regions of affinely parameterized quadratic equations
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression
Reconstructing networks with unknown and heterogeneous errors
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
pAElla: Edge-AI based Real-Time Malware Detection in Data Centers
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation
Error estimates for optimal control problems of the Stokes system with Dirac measures
RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS
V2X Meets NOMA: Non-Orthogonal Multiple Access for 5G Enabled Vehicular Networks
OCEL (Object-Centric Event Log) 2.0 Specification
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study
GoldenTransformer: A Modular Fault Injection Framework for Transformer Robustness Research
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases
CTD4 - A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
Gradient Weighted Superpixels for Interpretability in CNNs
Towards Energy-Proportional Computing Using Subsystem-Level Power Management
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis
Stochastic Spatio-Temporal Optimization for Control and Co-Design of Systems in Robotics and Applied Physics
HourGlass: Predictable Time-based Cache Coherence Protocol for Dual-Critical Multi-Core Systems
LiDAR and Camera Detection Fusion in a Real Time Industrial Multi-Sensor Collision Avoidance System
RC-chain: Reputation-based Crowdsourcing Blockchain for Vehicular Networks
Multi-Attention Integrated Deep Learning Frameworks for Enhanced Breast Cancer Segmentation and Identification
Second-Order SAT Solving using Program Synthesis
PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation
Simple Channel Coding Bounds
Variation of the electron flux spectrum along a solar flare loop as inferred from STIX hard X-ray observations
Bayesian Regression of Piecewise Constant Functions
Facial Expression Translation using Landmark Guided GANs
Evaluation and Performance Analysis of the Ryu Controller in Various Network Scenarios
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms
Detecting Incompleteness, Conflicting and Unreachability XACML Policies using Answer Set Programming
Differential Privacy and Machine Learning: a Survey and Review
Energy Efficient Cloud-Fog Architecture
Time Profile of U.S. Neighborhoods: Datasets of Time Use at Social Infrastructure Places
Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute
The Right to AI
Adaptive Honeypot Allocation in Multi-Attacker Networks via Bayesian Stackelberg Games
IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning
Fast Equivalence-checking for Quantum Circuits
Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
A Neural-based Program Decompiler
Backdoor defense, learnability and obfuscation
Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees
Gradient Compared Lp-LMS Algorithms for Sparse System Identification
Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging
Cube Height, Cube Width and Related Extremal Problems for Posets
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
A Systematic Review of Security Vulnerabilities in Smart Home Devices and Mitigation Techniques
GeoP2P: An adaptive peer-to-peer overlay for efficient search and update of spatial information
Asymptotically Compatible Fractional Grönwall Inequality and its Applications
Counting with Focus for Free
Interior-Point Algorithms for Linear-Programming Decoding
TRIM: Triangulating Images for Efficient Registration
Automata-based constraints for language model decoding
Probabilistic Solar Proxy Forecasting with Neural Network Ensembles
The Best of Both Worlds: Linear Functional Programming without Compromise
Revealing the learning process in reinforcement learning agents through attention-oriented metrics
SCL(FOL) Revisited
Evaluation Sheet for Deep Research: A Use Case for Academic Survey Writing
Non-Numerical Weakly Relational Domains
Probabilistic Bisimulation for Parameterized Systems (Technical Report)
Learning with Forest Sparsity
Rethinking Scaling Laws for Learning in Strategic Environments
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance?
Evaluating stochastic seeding strategies in networks
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning
Graph-based Learning with Unbalanced Clusters
On the expected diameter, width, and complexity of a stochastic convex-hull
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
Integrating Boosted learning with Differential Evolution (DE) Optimizer: A Prediction of Groundwater Quality Risk Assessment in Odisha
Energy-Efficient Multi-Radio Microwave and IAB-Based Fixed Wireless Access for Rural Areas
Multilinear Map Layer: Prediction Regularization by Structural Constraint
Properties of an Aloha-like stability region
Trace Complexity of Network Inference
Opening the Black Box of wav2vec Feature Encoder
ECATS: Explainable-by-design concept-based anomaly detection for time series
Memory-efficient Low-latency Remote Photoplethysmography through Temporal-Spatial State Space Duality
Federated X-Armed Bandit
Two Families of Quantum Codes Derived from Cyclic Codes