yusuke1997/dblp-id-title huggingface dataset:
How to Beat Science and Influence People: Policy Makers and Propaganda in Epistemic Networks
Near-Optimal Truthful Auction Mechanisms in Secondary Spectrum Markets
An ML-assisted OTFS vs. OFDM adaptable modem
Stability Analysis of Path-vector Routing
Mechanised Hypersafety Proofs about Structured Data: Extended Version
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities
Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning
New Optimal Results on Codes for Location in Graphs
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets
Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research
EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamics
Sequentialization and Procedural Complexity in Automata Networks
A Comprehensive Survey on Magnetic Resonance Image Reconstruction
Deep Learning for Time-Series Analysis
Fréchet ChemblNet Distance: A metric for generative models for molecules
Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis
The Life of Lazarillo de Tormes and of His Machine Learning Adversities
Forecasting new diseases in low-data settings using transfer learning
Structured Recursive Separator Decompositions for Planar Graphs in Linear Time
Enhanced Prediction of CAR T-Cell Cytotoxicity with Quantum-Kernel Methods
Feature Extraction and Classification Based on Spatial-Spectral ConvLSTM Neural Network for Hyperspectral Images
Shortest Distances as Enumeration Problem
Markov two-components processes
ConChain: A Scheme for Contention-free and Attack Resilient BlockChain
Multi-tier Caching Analysis in CDN-based Over-the-top Video Streaming Systems
Two-stage Algorithm for Fairness-aware Machine Learning
Enhanced Random Walk with Choice: An Empirical Study
Consumer Search with Chain Stores
Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Sparsity-Exploiting Anchor Placement for Localization in Sensor Networks
Improved Web Accessibility Evaluation of Open Learning Contents for Individuals with Learning Disabilities
Measuring and Mitigating Identity Bias in Multi-Agent Debate via Anonymization
Neurogeometry of perception: isotropic and anisotropic aspects
Spectral Analysis of Approximated Capacity Fade Curvature for Lithium-Ion Batteries
Accurate Hydrologic Modeling Using Less Information
VC-dimension of short Presburger formulas
Predicting Brain Age using Transferable coVariance Neural Networks
EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal
Real-Time Sleepiness Detection for Driver State Monitoring System
Weak-to-Strong Diffusion with Reflection
DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning
Neural Factorization-based Bearing Fault Diagnosis
A text-to-tabular approach to generate synthetic patient data using LLMs
Benchmarking Batch Deep Reinforcement Learning Algorithms
VersaGNN: a Versatile accelerator for Graph neural networks
From Formal Language Theory to Statistical Learning: Finite Observability of Subregular Languages
Model retraining and information sharing in a supply chain with long-term fluctuating demands
Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models
Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning
Identification and Assessment of Software Design Pattern Violations
RDPP-TD: Reputation and Data Privacy-Preserving based Truth Discovery Scheme in Mobile Crowdsensing
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
Analysis of a class of globally divergence-free HDG methods for stationary Navier-Stokes equations
Efficient evaluation of expectations of functions of a stable Lévy process and its extremum
fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
Progress and opportunities in modelling environmentally assisted cracking
Periodic micromagnetic finite element method
Towards Reliable and Fluent Large Language Models: Incorporating Feedback Learning Loops in QA Systems
The Long Arm of Nashian Allocation in Online p -Mean Welfare Maximization
Algorithmic Fairness: A Tolerance Perspective
Is More Data All You Need? A Causal Exploration
Fast Computation of the N-th Term of a q-Holonomic Sequence and Applications
Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion
PhaseLin: Linear Phase Retrieval
Diameter graphs in ℝ 4
DMARF AND GIPSY High Level Architecture and Requirements Analysis
DeVAIC: A Tool for Security Assessment of AI-generated Code
LegoNet: Alternating Model Blocks for Medical Image Segmentation
Domain Adaptation of Drag Reduction Policy to Partial Measurements
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes
Kernel Truncated Regression Representation for Robust Subspace Clustering
BackCache: Mitigating Contention-Based Cache Timing Attacks by Hiding Cache Line Evictions
AutoMATES: Automated Model Assembly from Text, Equations, and Software
Monte Carlo with kernel-based Gibbs measures: Guarantees for probabilistic herding
Robust Connectivity with Multiple Nonisotropic Antennas for Vehicular Communications
Convexity of mutual information along the heat flow
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
Association Rule Pruning based on Interestingness Measures with Clustering
Correct-by-Design Control Synthesis of Stochastic Multi-agent Systems: a Robust Tensor-based Solution
Privacy-preserving Targeted Advertising
Towards Open Set 3D Learning: A Benchmark on Object Point Clouds
NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
End-to-End Bengali Speech Recognition
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction
On Fast Johnson-Lindenstrauss Embeddings of Compact Submanifolds of R N with Boundary
Complexity Assessment of Analog Security Primitives Using the Disentropy of Autocorrelation
Traffic dynamics in scale-free networks with limited packet-delivering capacity
On the Provenance of Linked Data Statistics
A universal completion of the ZX-calculus
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
Automatically Tailoring Static Analysis to Custom Usage Scenarios
K-Nearest Neighbour algorithm coupled with logistic regression in medical case-based reasoning systems. Application to prediction of access to the renal transplant waiting list in Brittany
What is Wrong with End-to-End Learning for Phase Retrieval?
An Integrated Risk Assessment Process of Safety-Related Digital I&C Systems in Nuclear Power Plants
On-board Electrical, Electronics and Pose Estimation System for Hyperloop Pod Design
SafeEmbodAI: a Safety Framework for Mobile Robots in Embodied AI Systems
Relationship Detection Measures for Binary SoC Data
SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL
Learning with Imprinted Weights
Effective Sparsification of Neural Networks with Global Sparsity Constraint
An asymptotic preserving scheme for Lévy-Fokker-Planck equation with fractional diffusion limit
Enforcing hidden physics in physics-informed neural networks
Scalable Complexity Control Facilitates Reasoning Ability of LLMs
Non-Stationary Markov Decision Processes a Worst-Case Approach using Model-Based Reinforcement Learning
Inferring the Most Similar Variable-length Subsequences between Multidimensional Time Series
Ramsey's Theorem for Pairs and $k$ Colors as a Sub-Classical Principle of Arithmetic
Spanning Trees with a Small Vertex Cover: the Complexity on Specific Graph Classes
No Parameters, No Problem: 3D Gaussian Splatting without Camera Intrinsics and Extrinsics
Current state of the Sonix - the IBR-2 instrument control software and plans for future developments
OCFormer: One-Class Transformer Network for Image Classification
Strategic Teaching and Learning in Games
Battery State of Health Estimation and Incremental Capacity Analysis for Charging with General Current Profiles Using Neural Networks
Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning
RFC 7800 - Money Over IP
ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language Models
Towards Entropic Constraints on Quantum Speedups
Avatar-centred AR Collaborative Mobile Interaction
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs
Few-shot Algorithm Assurance
A theory of appropriateness with applications to generative artificial intelligence
Provably-secure symmetric private information retrieval with quantum cryptography
Automating Induction by Reflection
All You Need is "Love": Evading Hate-speech Detection
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
A physics-informed neural network framework for modeling obstacle-related equations
Cloud Radio Access Network: Virtualizing Wireless Access for Dense Heterogeneous Systems
Real-World Deployment of Cloud Autonomous Mobility System Using 5G Networks for Outdoor and Indoor Environments
Approximation algorithms for confidence bands for time series
From underwater to aerial: a novel multi-scale knowledge distillation approach for coral reef monitoring
VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model
Direct training based spiking convolutional neural networks for object recognition
The Kinematic Analysis of a Symmetrical Three-Degree-of-Freedom Planar Parallel Manipulator
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing
Analytical Modeling of UAV-to-Vehicle Propagation Channels in Built-Up Areas
Video Generators are Robot Policies
A Reliabel and an efficient web testing system
Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quantum Memory
Equiprobable mappings in weighted constraint grammars
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints
Ego-Only: Egocentric Action Detection without Exocentric Pretraining
Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Quantum Neural Network for Quantum Neural Computing
BRACE: A Benchmark for Robust Audio Caption Quality Evaluation
Thinking beyond chatbots' threat to education: Visualizations to elucidate the writing and coding process
Search-Optimized Quantization in Biomedical Ontology Alignment
Regularized impurity reduction: Accurate decision trees with complexity guarantees
UAV Assisted Data Collection for Internet of Things: A Survey
Vivar: A Generative AR System for Intuitive Multi-Modal Sensor Data Presentation
On the well-posedness of the Galerkin semidiscretization of the periodic initial-value problem of the Serre equations
Proceedings Fourth International Symposium on Games, Automata, Logics and Formal Verification, GandALF 2013, Borca di Cadore, Dolomites, Italy, 29-31th August 2013
3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks
Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification
Why Adversarial Training of ReLU Networks Is Difficult?
Modeling mutual feedback between users and recommender systems
Cluster-level Group Representativity Fairness in k-means Clustering
Sentinel node approach to monitoring online COVID-19 misinformation
DACSR: Dual-Aggregation End-to-End Calibrated Sequential Recommendation
The problem of infinite information flow
Adaptive Modeling Against Adversarial Attacks
Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels
Two Differentially Private Rating Collection Mechanisms for Recommender Systems
Dynamic Binary Neural Network by learning channel-wise thresholds
Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis
Topological Federated Clustering via Gravitational Potential Fields under Local Differential Privacy
Improving the dimension bound of Hermitian Lifted Codes
Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability
Large-scale Artificial Neural Network: MapReduce-based Deep Learning
Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing
PGNAA Spectral Classification of Metal with Density Estimations
More inclusive and on wider sources: A Comparative Analysis of Data and Political Journalists on Twitter in Germany
Deep Program Reidentification: A Graph Neural Network Solution
Cross-Matching Multiple Spatial Observations and Dealing with Missing Data
On Connectivity-Aware Distributed Mobility Models for Area Coverage in Drone Networks
Magnetic Navigation using Attitude-Invariant Magnetic Field Information for Loop Closure Detection
Constructionist Steps Towards an Autonomously Empathetic System
A New Sentinel Approach for Energy Efficient and Hole Aware Wireless Sensor Networks
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection
ZEH-oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries
Consensus analysis of systems with time-varying interactions : An event-triggered approach
MTVR: Multilingual Moment Retrieval in Videos
Extremal combinatorics, iterated pigeonhole arguments, and generalizations of PPP
HAMSA: Hijacking Aligned Compact Models via Stealthy Automation
Reinforcement Learning of the Prediction Horizon in Model Predictive Control
HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics
Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt Learning
Composition Theorems for f-Differential Privacy
Designing and implementing an automated grading workflow for providing personalized feedback to open-ended data science assignments
MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency
Unveiling Reasoning Thresholds in Language Models: Scaling, Fine-Tuning, and Interpretability through Attention Maps
Truly Sub-cubic Algorithms for Language Edit Distance and RNA Folding via Fast Bounded-Difference Min-Plus Product
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
A System for Image Understanding using Sensemaking and Narrative
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation
PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation
Reflective visualization and verbalization of unconscious preference
Full Duplex Joint Communications and Sensing for 6G: Opportunities and Challenges
Neuronal Cell Type Classification using Deep Learning
A Proximity based Retransmission Scheme for Power Line Ad-hoc LAN
Approximating the volume of a truncated relaxation of the independence polytope
A Multiscale Approach for Enhancing Weak Signal Detection
A Semi-Automated Corner Case Detection and Evaluation Pipeline
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond
Combining learning rate decay and weight decay with complexity gradient descent - Part I
Soft is Safe: Human-Robot Interaction for Soft Robots
Model Exploration Using OpenMOLE - a workflow engine for large scale distributed design of experiments and parameter tuning
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Markov Chains
Counterfactual (Non-)identifiability of Learned Structural Causal Models
How to Compose Shortest Paths
Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
Random Permutations, Random Sudoku Matrices and Randomized Algorithms
ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data
ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models
IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra
Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Newton's method in practice: finding all roots of polynomials of degree one million efficiently
Improvement of the Izhikevich model based on the rat basolateral amygdala and hippocampus neurons, and recognition of their possible firing patterns
Exploring Adaptive MCTS with TD Learning in miniXCOM
Full Transparency in DBI frameworks
DB Category: Denotational Semantics for View-based Database Mappings
Kernelized Classification in Deep Networks
Fuzzy Based Secure Clustering Schemes for Wireless Sensor Networks
HODLR2D: A new class of Hierarchical matrices
Fair Classification and Social Welfare
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations Trained on Scarce Data
Integrated Sensing and Communication based Outdoor Multi-Target Detection, Tracking and Localization in Practical 5G Networks
Compositional model checking of concurrent systems, with Petri nets
Skip-Thought Memory Networks
Learning Tactile Insertion in the Real World
Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices
Towards Minimal Fine-Tuning of VLMs
Testing SPARUS II AUV, an open platform for industrial, scientific and academic applications
Codes With Hierarchical Locality
A regularization of incompressible Stokes problem with Tresca friction condition
Understanding the Limitations of Network Online Learning
Application of Genetic Algorithms to the Multiple Team Formation Problem
Classification of Safety Driver Attention During Autonomous Vehicle Operation
FMGNN: Fused Manifold Graph Neural Network
BalancedDPO: Adaptive Multi-Metric Alignment
Certifying Blockchain Byzantine Fault Tolerance
Joint Dimensionality Reduction for Separable Embedding Estimation
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering
Differentiable Topology Estimating from Curvatures for 3D Shapes
Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling
Evaluating Large Language Models for Causal Modeling
A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments
The Convergence Guarantees of a Non-convex Approach for Sparse Recovery
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
A Fast Sketch Method for Mining User Similarities over Fully Dynamic Graph Streams
Efficiently Using Second Order Information in Large l1 Regularization Problems
Square root-based multi-source early PSD estimation and recursive RETF update in reverberant environments by means of the orthogonal Procrustes problem
Motion and Cooperative Transportation Planning for Multi-Agent Systems under Temporal Logic Formulas
To Terminate or Not to Terminate Secure Sockets Layer (SSL) Traffic at the Load Balancer
Designing Style Matching Conversational Agents
CLIP-VG: Self-paced Curriculum Adapting of CLIP via Exploiting Pseudo-Language Labels for Visual Grounding
Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation
Video Super-Resolution Transformer
Efficient Algorithms for Learning to Control Bandits with Unobserved Contexts
Incorporating Deception into CyberBattleSim for Autonomous Defense
One Small and One Large for Document-level Event Argument Extraction
Rethinking Implicit Neural Representations for Vision Learners
A polynomial algorithm for the most degree-central shortest path problem
On the Sample Complexity of Predictive Sparse Coding
Optimal policy design for decision problems under social influence
Network Topology Inference from Smooth Signals Under Partial Observability
A Probabilistic Framework for Power System Large-Disturbance Global Instability Risk Assessment in the Presence of Renewable Wind Generation
Adversarial Training with Voronoi Constraints
Terms in journal articles associating with high quality: Can qualitative research be world-leading?
Milner's Lambda-Calculus with Partial Substitutions
Lidar based 3D Tracking and State Estimation of Dynamic Objects
Semi-supervised Text-based Person Search
Robotic Paper Wrapping by Learning Force Control
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection
Magnetic Manifold Hamiltonian Monte Carlo
The system of cloud oriented learning tools as an element of educational and scientific environment of high school
Co-design of Optimal Transmission Power and Controller for Networked Control Systems Under State-dependent Markovian Channels
A polynomial time algorithm for solving the closest vector problem in zonotopal lattices
On the Effects of Distributed Electric Vehicle Network Utility Maximization in Low Voltage Feeders
Remote Labor Index: Measuring AI Automation of Remote Work
Decoding Selective Auditory Attention to Musical Elements in Ecologically Valid Music Listening
Mitigating Hallucination in Multimodal Reasoning via Functional Attention Control
Asymmetric Move Selection Strategies in Monte-Carlo Tree Search: Minimizing the Simple Regret at Max Nodes
Optimal hybrid parameter selection for stable sequential solution of inverse heat conduction problem
Fully-HeterogeneousContainment Control of a Network of Leader-Follower Systems
Stress-SGX: Load and Stress your Enclaves for Fun and Profit
Capacity Factors of a Point-to-point Network
Training Deep Boltzmann Networks with Sparse Ising Machines
How Powerful is Implicit Denoising in Graph Neural Networks
Understanding the importance of SHAPE to the UK research ecosystem
Acceleration of the PDHGM on strongly convex subspaces
Satellite-Assisted Low-Altitude Economy Networking: Concepts, Applications, and Opportunities
Learning with pyCub: A New Simulation and Exercise Framework for Humanoid Robotics
On Cost-Aware Sequential Hypothesis Testing with Random Costs and Action Cancellation
Computational Models for SA, RA, PC Afferent to Reproduce Neural Responses to Dynamic Stimulus Using FEM Analysis and a Leaky Integrate-and-Fire Model