yusuke1997/dblp-id-title huggingface dataset:
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment
Facial Attractiveness Prediction in Live Streaming: A New Benchmark and Multi-modal Method
From Louvain to Leiden: guaranteeing well-connected communities
Regularity theory and numerical algorithm for the fractional Klein-Kramers equation
Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage
Optimal Explanations of Linear Models
Accelerating Nash Learning from Human Feedback via Mirror Prox
Tight basis cycle representatives for persistent homology of large data sets
Computational Models to Study Language Processing in the Human Brain: A Survey
Hyperspectral Unmixing with Endmember Variability using Semi-supervised Partial Membership Latent Dirichlet Allocation
Controllable Image Generation With Composed Parallel Token Prediction
MGA-VQA: Secure and Interpretable Graph-Augmented Visual Question Answering with Memory-Guided Protection Against Unauthorized Knowledge Use
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge
Achieving the Dispatchability of Distribution Feeders through Prosumers Data Driven Forecasting and Model Predictive Control of Electrochemical Storage
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
Coarse graining and reduced order models for plume ejection dynamics
Graphon games
Bayesian Tensorized Neural Networks with Automatic Rank Selection
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network
Elevating Robust Multi-Talker ASR by Decoupling Speaker Separation and Speech Recognition
On the Minimum Decoding Delay of Balanced Complex Orthogonal Design
3T-1R Analog Write and Digital Read of MRAM for RNG and Low Power Memory Application
Improving Interpretability of Word Embeddings by Generating Definition and Usage
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization
Infinigen-Sim: Procedural Generation of Articulated Simulation Assets
Bounding Singular Values of Convolution Layers
A Time-Frequency Perspective on Audio Watermarking
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification
Staging Mixed-Initiative Dialogs by Program Generation and Transformation
Comprehensive Dataset for Urban Streetlight Analysis
MMER: Multimodal Multi-task learning for Emotion Recognition in Spoken Utterances
Fourier sparsity, spectral norm, and the Log-rank conjecture
Investigating the impact of free energy based behavior on human in human-agent interaction
Toward Appearance-based Autonomous Landing Site Identification for Multirotor Drones in Unstructured Environments
Fast attention mechanisms: a tale of parallelism
Optimization simulation of reflow welding based on prediction of regional center temperature field
Higher-Order Neuromorphic Ising Machines - Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models
The Han-Kobayashi Region for a Class of Gaussian Interference Channels with Mixed Interference
Storage capacity of perceptron with variable selection
Instance Segmentation for Point Sets
Realtime Person Identification via Gait Analysis
SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion
Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models
BarraCUDA: Bringing Electromagnetic Side Channel Into Play to Steal the Weights of Neural Networks from NVIDIA GPUs
Case Study: Explaining Diabetic Retinopathy Detection Deep CNNs via Integrated Gradients
FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning
Active Learning of Robot Vision Using Adaptive Path Planning
Learning Off-Road Terrain Traversability with Self-Supervisions Only
Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning
Causal Knowledge Extraction from Scholarly Papers in Social Sciences
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
Orientation recognition and correction of Cardiac MRI with deep neural network
Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm
COAST: Intelligent Time-Adaptive Neural Operators
Mapping Research Productivity of BRICS Countries with Special Reference to Coronary Artery Disease (CAD): A Scientometric Study
Coupled time discretisation of dynamic damage models at small strains
Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks
Limited Model Information Control Design for Linear Discrete-Time Systems with Stochastic Parameters
Modular Embedding Recomposition for Incremental Learning
It's Not Just Labeling - A Research on LLM Generated Feedback Interpretability and Image Labeling Sketch Features
Bayesian Causal Inference with Gaussian Process Networks
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Temporal Context Awareness: A Defense Framework Against Multi-turn Manipulation Attacks on Large Language Models
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
MP-SL: Multihop Parallel Split Learning
Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing
Multiversion Conflict Notion for Transactional Memory Systems
Controlled Causal Hallucinations Can Estimate Phantom Nodes in Multiexpert Mixtures of Fuzzy Cognitive Maps
Network Traffic Decomposition for Anomaly Detection
Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking
Tamil-Llama: A New Tamil Language Model Based on Llama 2
Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
LeapfrogLayers: A Trainable Framework for Effective Topological Sampling
RDBE: Reasoning Distillation-Based Evaluation Enhances Automatic Essay Scoring
Updateable Data-Driven Cardinality Estimator with Bounded Q-error
Sparse Identification of Truncation Errors
Smart business networks and business genetics with a high tech communications supplier selection industry case
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
Demystifying Progressive Web Application Permission Systems
Mapping 1,000+ Language Models via the Log-Likelihood Vector
An SIE Formulation with Triangular Discretization and Loop Analysis for Parameter Extraction of Arbitrarily Shaped Interconnects
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
Identification of main factors affecting trust and determination of their importance in electronic businesses in Iran
Speed-Aware Routing for UAV Ad-Hoc Networks
Sandpile Prediction on Structured Undirected Graphs
A C 0 interior penalty method for the stream function formulation of the surface Stokes problem
Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models
Wyner's Common Information under Rényi Divergence Measures
E-learning for ungraded schools of Kazakhstan: experience, implementation, and innovation
Facility Location with Client Latencies: Linear-Programming based Techniques for Minimum-Latency Problems
Model reduction by balanced truncation of dominant Lure systems
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type Annotation
Reconstruction-Based Membership Inference Attacks are Easier on Difficult Problems
Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification
Secret-Message Transmission by Echoing Encrypted Probes - STEEP
Artificial Life and the Web: WebAL Comes of Age
Epidemiological short-term Forecasting with Model Reduction of Parametric Compartmental Models. Application to the first pandemic wave of COVID-19 in France
SFA Referee Allocation Scheme
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Recurrence times, waiting times and universal entropy production estimators
A Contrastive Method Based on Elevation Data for Remote Sensing with Scarce and High Level Semantic Labels
Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches
AI-Assisted Fixes to Code Review Comments at Scale
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
Instabilities in Plug-and-Play (PnP) algorithms from a learned denoiser
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight
Acquiescence Bias in Large Language Models
CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow
Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)
Horn Fragments of the Halpern-Shoham Interval Temporal Logic (Technical Report)
SLAM with Objects using a Nonparametric Pose Graph
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis
PriorNet: A Novel Lightweight Network with Multidimensional Interactive Attention for Efficient Image Dehazing
Efficient Decoding Methods for Language Models on Encrypted Data
Anxious Depression Prediction in Real-time Social Data
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis
Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance
Low differentially uniform permutations from Dobbertin APN function over F 2 n
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure
Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography Images Using Wavelet Based Statistical Texture Features
The Fixed-Point Theory of Strictly Contracting Functions on Generalized Ultrametric Semilattices
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
How Much is Performance Worth to Users? A Quantitative Approach
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization
OXSeg: Multidimensional attention UNet-based lip segmentation using semi-supervised lip contours
Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting
Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms
A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures
Reducing Packet Overhead in Mobile IPv6
Distributed Monitoring of Topological Events via Homology
Calibrated Click-Through Auctions: An Information Design Approach
Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages
Approximate Online Pattern Matching in Sub-linear Time
Parrondo's games with chaotic switching
Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-GANs
Composite Concept Extraction through Backdooring
Parallel Programming Models for Heterogeneous Many-Cores : A Survey
An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text
Removing Brightness Bias in Rectified Gradients
Threshold-based Obfuscated Keys with Quantifiable Security against Invasive Readout
Are We Using Autoencoders in a Wrong Way?
Predicate learning in neural systems: Discovering latent generative structures
Opportunistic Self Organizing Migrating Algorithm for Real-Time Dynamic Traveling Salesman Problem
Technical report: Linking the scientific and clinical data with KI2NA-LHC
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking
Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks and CLIP: Application to 8th ABAW Challenge
A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities
Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach
M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
Study of a structure preserving finite volume scheme for a nonlocal cross-diffusion system
Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
Analyzing and Visualizing American Congress Polarization and Balance with Signed Networks
Learning monocular 3D reconstruction of articulated categories from motion
Entropy in Social Networks
Study of Drug Assimilation in Human System using Physics Informed Neural Networks
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
Bayesian inference of composition-dependent phase diagrams
An improved Shifted CholeskyQR based on columns
How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?
Command-line Risk Classification using Transformer-based Neural Architectures
Segmentation of Subspaces in Sequential Data
Speech Forensics: Blind Voice Mimicry Detection
A perspective on Attitude Control Issues and Techniques
Permutative redundancy and uncertainty of the objective in deep learning
A Visual Grammar Approach for TV Program Identification
Nonparametric inference for ergodic, stationary time series
Machine Learning for Network-based Intrusion Detection Systems: an Analysis of the CIDDS-001 Dataset
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study
TweetIT- Analyzing Topics for Twitter Users to garner Maximum Attention
On Byzantine Broadcast in Planar Graphs
Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy
DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks
Introduction to a Low-Cost AI-Powered GUI for Unstained Cell Culture Analysis
What is an Ontology?
Embedding Pose Graph, Enabling 3D Foundation Model Capabilities with a Compact Representation
A comparison of classical and variational autoencoders for anomaly detection
Extracting urban impervious surface from GF-1 imagery using one-class classifiers
Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis
BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generation
Fast 3D Surrogate Modeling for Data Center Thermal Management
Uncertainty Quantification of Large Language Models using Approximate Bayesian Computation
Consensus of hierarchical multi-agent systems with a time-varying set of active agents
Heterogeneous Speed Profiles in Discrete Models for Pedestrian Simulation
Fast Methods for Eikonal Equations: an Experimental Survey
Study of Switched Max-Link Buffer-Aided Relay Selection for Cooperative MIMO Systems
Sparse Fourier Transform over Lattices: A Unified Approach to Signal Reconstruction
On the Complexity of Completing Binary Predicates
Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence
REx: An Efficient Rule Generator
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning
Enrich and Detect: Video Temporal Grounding with Multimodal LLMs
HybHuff: Lossless Compression for Hypergraphs via Entropy-Guided Huffman-Bitwise Coordination
Composition of Relational Features with an Application to Explaining Black-Box Predictors
M 3 IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Partitioning sparse graphs into an independent set and a forest of bounded degree
Attribute-based Encryption for Attribute-based Authentication, Authorization, Storage, and Transmission in Distributed Storage Systems
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
Hypergraph Co-Optimal Transport: Metric and Categorical Properties
Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation
KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs
Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
Design and Analysis of a Grid-connected DC Fast Charging Station for Dhaka-Chittagong Highway
Rethinking Node Representation Interpretation through Relation Coherence
Rapid multi-component phase-split calculations using volume functions and reduction methods
Ultra Wideband Impulse Radio Systems with Multiple Pulse Types
Mutual Information Constraints for Monte-Carlo Objectives
Which is your favorite music genre? A validity comparison of Facebook data and survey data
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images
Advancing Consumer Adoption of Blockchain Applications
Fusible HSTs and the randomized k-server conjecture
ECG-PPS: Privacy Preserving Disease Diagnosis and Monitoring System for Real-Time ECG Signal
On the role of non-linear latent features in bipartite generative neural networks
Differentiable Adaptive Kalman Filtering via Optimal Transport
Cyclone Preparedness, Rescue Operations and Damage Assessment using UAVs
Guided Real Image Dehazing using YCbCr Color Space
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation
Análisis jurídico de la discriminación algorítmica en los procesos de selección laboral
ProRefine: Inference-time Prompt Refinement with Textual Feedback
DFQ-ViT: Data-Free Quantization for Vision Transformers without Fine-tuning
Probability Contrastive Learning for Domain Adaptation
Dynamic resource allocation for efficient parallel CFD simulations
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
On the Probability of the Existence of Fixed-Size Components in Random Geometric Graphs
A Simulation Study of Passing Drivers' Responses to the Automated Truck-Mounted Attenuator System in Road Maintenance
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
TDT Loss Takes It All: Integrating Temporal Dependencies among Targets into Non-Autoregressive Time Series Forecasting
Comb Convolution for Efficient Convolutional Architecture
KNN Classification with One-step Computation
Synthetic Data in AI: Challenges, Applications, and Ethical Implications
Parallel Processing of Point Cloud Ground Segmentation for Mechanical and Solid-State LiDARs
CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks
Meta-Learning via Feature-Label Memory Network
Transition from small to large world in growing networks
Multitask learning for frame-level instrument recognition
Complexity Classification of the Eight-Vertex Model
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Surface-based 3D Deep Learning Framework for Segmentation of Intracranial Aneurysms from TOF-MRA Images
DeepCorrect: Correcting DNN models against Image Distortions
Uncertainty-aware Distributional Offline Reinforcement Learning
DDD: Discriminative Difficulty Distance for plant disease diagnosis
A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data
OSoRA: Output-Dimension and Singular-Value Initialized Low-Rank Adaptation
Pseudo-Adaptive Penalization to Handle Constraints in Particle Swarm Optimizers
A Coordination Language for Databases
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
Convergence and superconvergence analysis of discontinuous Galerkin methods for index-2 integral-algebraic equations
Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning
Memetic Multi-Objective Particle Swarm Optimization-Based Energy-Aware Virtual Network Embedding
Low Size-Complexity Inductive Logic Programming: The East-West Challenge Considered as a Problem in Cost-Sensitive Classification
Control of Supermarket Refrigeration Systems via Online Combinatorial Optimization
Articulated Object Manipulation using Online Axis Estimation with SAM2-Based Tracking
Energy Efficiency Analysis in Amplify-and-Forward and Decode-and-Forward Cooperative Networks
TRNet: Two-level Refinement Network leveraging Speech Enhancement for Noise Robust Speech Emotion Recognition
TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
Automatic Input Feature Relevance via Spectral Neural Networks
Symmetric Cross Entropy for Robust Learning with Noisy Labels
About the unification types of the modal logics determined by classes of deterministic frames
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
Revisiting Hyperparameter Tuning with Differential Privacy
Automated Quality Assessment for LLM-Based Complex Qualitative Coding: A Confidence-Diversity Framework
What Do WEIRD and Non-WEIRD Conversational Agent Users Want and Perceive? Towards Transparent, Trustworthy, Democratized Agents
Efficient Natural Evolution Strategies
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression
Performance Evaluation of an Algorithm-based Asynchronous Checkpoint-Restart Fault Tolerant Application Using Mixed MPI/GPI-2
Fault Localization in a Software Project using Back-Tracking Principles of Matrix Dependency
A New De-blurring Technique for License Plate Images with Robust Length Estimation
Quantifying Market Efficiency Impacts of Aggregated Distributed Energy Resources
Warding off timing attacks in Deterland
Deep Neural Network Solutions for Oscillatory Fredholm Integral Equations
BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs
Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent
Automatic Extraction of Causal Relations from Natural Language Texts: A Comprehensive Survey
Strong convergence of a tamed theta scheme for McKean-Vlasov NSDDEs driven by fractional Brownian motion
Testing the Tools of Systems Neuroscience on Artificial Neural Networks
Predicting Maintenance Cessation of Open Source Software Repositories with An Integrated Feature Framework
The Weight Distributions of a Class of Cyclic Codes with Three Nonzeros over F3
AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples
Combating the Compounding-Error Problem with a Multi-step Model
Learning to Answer Ambiguous Questions with Knowledge Graph
Yan: Foundational Interactive Video Generation
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
Some Limit Properties of Markov Chains Induced by Stochastic Recursive Algorithms
Viewing Computer Science through Citation Analysis; Salton and Bergmark Redux
Hybrid second-order gradient histogram based global low-rank sparse regression for robust face recognition
Deep State Space Models for Nonlinear System Identification