yusuke1997/dblp-id-title huggingface dataset:
MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning
Spectral Resolution Clustering for Brain Parcellation
Cats climb entails mammals move: preserving hyponymy in compositional distributional semantics
When to Deceive: A Cross-Layer Stackelberg Game Framework for Strategic Timing of Cyber Deception
Fixed-time Stabilization with a Prescribed Constant Settling Time by Static Feedback for Delay-Free and Input Delay Systems
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slip Scripts
Towards Orientation Learning and Adaptation in Cartesian Space
M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images
MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition
AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
A Hybrid ICT-Solution for Smart Meter Data Analytics
SmartPM: Automatic Adaptation of Dynamic Processes at Run-Time
Machine learning and chord based feature engineering for genre prediction in popular Brazilian music
Knowware: the third star after Hardware and Software
How to Mobilize mmWave: A Joint Beam and Channel Tracking Approach
Towards Reinforcement Learning for Exploration of Speculative Execution Vulnerabilities
Impact of Data Quality on Deep Neural Network Training
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
EVM Analysis of Distributed Massive MIMO with 1-Bit Radio-Over-Fiber Fronthaul
Exploring the Stratified Space Structure of an RL Game with the Volume Growth Transform
From Abstractions to "Natural Languages" for Planning Agents
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers
Inverse Multiobjective Optimization Through Online Learning
Extreme learning machines for variance-based global sensitivity analysis
Conservativity of Type Theory over Higher-order Arithmetic
GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models
Renewable Energy Powered and Open RAN-based Architecture for 5G Fixed Wireless Access Provisioning in Rural Areas
AutoAugment Input Transformation for Highly Transferable Targeted Attacks
Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality
Learning in embodied action-perception loops through exploration
Weakly Supervised Content Selection for Improved Image Captioning
Data-Augmented Few-Shot Neural Stencil Emulation for System Identification of Computer Models
RUM: Rule+LLM-Based Comprehensive Assessment on Testing Skills
VU-BERT: A Unified framework for Visual Dialog
Cryptanalysis of a chaotic block cipher with external key and its improved version
Interactive Graph Visualization and TeamingRecommendation in an Interdisciplinary Project'sTalent Knowledge Graph
"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations
Co-evolution of Selection and Influence in Social Networks
Why Ask One When You Can Ask k ? Two-Stage Learning-to-Defer to the Top- k Experts
GreedyML: A Parallel Algorithm for Maximizing Submodular Functions
A Neural Network Assembly Memory Model with Maximum-Likelihood Recall and Recognition Properties
Deep Learning with Gaussian Differential Privacy
Second-Order Asymptotics of Classical-Quantum Channels
Next Generation of Phishing Attacks using AI powered Browsers
Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction
Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities
Efficient Visualization of Neural Networks with Generative Models and Adversarial Perturbations
PrescientFuzz: A more effective exploration approach for grey-box fuzzing
Black box meta-learning intrinsic rewards for sparse-reward environments
Kinematics and Dynamic Modeling of a Planar Hydraulic Elastomer Actuator
BiLingual Information Retrieval System for English and Tamil
OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis
Semantically Guided Adversarial Testing of Vision Models Using Language Models
Semantic bottleneck for computer vision tasks
On the Randomized Complexity of Minimizing a Convex Quadratic Function
World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training
On the Feasibility of Out-of-Band Spatial Channel Information for Millimeter-Wave Beam Search
A nonsmooth primal-dual method with simultaneous adaptive PDE constraint solver
Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks
A Mathematical Model for Logarithmic Image Processing
Addressing Variability in Reuse Prediction for Last-Level Caches
Iterative Methods at Lower Precision
3VL: using Trees to teach Vision & Language models compositional concepts
A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook
Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks
Accelerating Multiframe Blind Deconvolution via Deep Learning
RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models
Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation
Fairness-aware Dynamic Hosting Capacity and the Impacts of Strategic Solar PV Curtailment
Gradient Policy on "CartPole" game and its' expansibility to F1Tenth Autonomous Vehicles
GenAI Assisting Medical Training
Bregman implementation of Meyer's G -norm for cartoon + textures decomposition
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Sparse optimal control of networks with multiplicative noise via policy gradient
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds
The Role of Pre-training Data in Transfer Learning
Adaptive Neuro Particle Swarm Optimization applied for diagnosing disorders
SAUSAGE: Security Analysis of Unix domain Socket Usage in Android
Hamiltonian Monte Carlo-Based Near-Optimal MIMO Signal Detection
Alternate Learning and Compression Approaching R(D)
On the finiteness of k-vertex-critical 2P 2 -free graphs with forbidden induced squids or bulls
Cut elimination for propositional cyclic proof systems with fixed-point operators
Automated classification of natural habitats using ground-level imagery
The concordance of field-normalized scores based on Web of Science and Microsoft Academic data: A case study in computer sciences
Detecting Repeating Objects using Patch Correlation Analysis
SPARC - Sorted ASP with Consistency Restoring Rules
Learning Multi-view Anomaly Detection
Quasi-linear analysis of dispersion relation preservation for nonlinear schemes
Fusion or Confusion? Multimodal Complexity Is Not All You Need
Graph Parsing by Matrix Multiplication
Strong rates of convergence of space-time discretization schemes for the 2D Navier-Stokes equations with additive noise
Frozen CLIP Model is An Efficient Point Cloud Backbone
Closed-loop control of sloshing fuel in a spinning spacecraft
Context-aware Failure-oblivious Computing as a Means of Preventing Buffer Overflows
Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography with Hemispherical Measurement Geometries
Linial's Lower Bound Made Easy
Periodicity Pitch Detection in Complex Harmonies on EEG Timeline Data
The 19th International Workshop on Termination (WST 2023): Preface, Invited Talk Abstract, and Tool Descriptions
An Iterative Algorithm to Impute Truck Information over Nationwide Traffic Networks
Modeling Risk in Reinforcement Learning: A Literature Mapping
Breaking the Estream Finalists and AES Modes of Operation Faster than Exhaustive Search
Parlermonium: A Data-Driven UX Design Evaluation of the Parler Platform
On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Stochastic Orthant-Wise Limited-Memory Quasi-Newton Method
Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Encoding Spike Patterns in Multilayer Spiking Neural Networks
Hey there! You are using WhatsApp: Enumerating Three Billion Accounts for Security and Privacy
Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems
Rethinking Referring Object Removal
Embeddings to Diagnosis: Latent Fragility under Agentic Perturbations in Clinical LLMs
Event-triggered Hybrid Energy-aware Scheduling in Manufacturing Systems
Multimodal Recommendation via Self-Corrective Preference Alignmen
Quantum strategies, error bounds, optimality, and duality gaps for multiplayer XOR, XOR * , compiled XOR, XOR * , and strong parallel repetiton of XOR, XOR * , and FFL games
Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data
Early Prediction of Natural Gas Pipeline Leaks Using the MKTCN Model
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
FakeCovid - A Multilingual Cross-domain Fact Check News Dataset for COVID-19
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble
Example-Free Learning of Regular Languages with Prefix Queries
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
NumScout: Unveiling Numerical Defects in Smart Contracts using LLM-Pruning Symbolic Execution
Human Perception of Surprise: A User Study
High order semi-implicit multistep methods for time dependent partial differential equations
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation
Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning
Tractable robust MPC design based on nominal predictions
A Proposal for the Characterization of Multi-Dimensional Inter-relationships of RDF Graphs Based on Set Theoretic Approach
A primer on optimal transport for causal inference with observational data
Synthesizing Min-Max Control Barrier Functions For Switched Affine Systems
A Comprehensive Evaluation of Four End-to-End AI Autopilots Using CCTest and the Carla Leaderboard
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction
Inertial Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset
The Case for Redundant Arrays of Internet Links (RAIL)
CodeRetriever: Unimodal and Bimodal Contrastive Learning
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Dynamic Channel Access for Energy Efficient Data Gathering in Cognitive Radio Sensor Networks
The local geometry of testing in ellipses: Tight control via localized Kolomogorov widths
Automated Lower Bounds on the I/O Complexity of Computation Graphs
SALPA: Spaceborne LiDAR Point Adjustment for Enhanced GEDI Footprint Geolocation
Capturing Local and Global Features in Medical Images by Using Ensemble CNN-Transformer
Quantizing deep convolutional networks for efficient inference: A whitepaper
System-Specific Interpreters Make Megasystems Friendlier
Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
On Codes over Eisenstein Integers
A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks
Automated Parking Planning with Vision-Based BEV Approach
Improving Object Detection with Region Similarity Learning
Deep Learning for Video Classification and Captioning
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
Modelling heterogeneous outcomes in multi-agent systems
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification
Flows in Almost Linear Time via Adaptive Preconditioning
Boosting for Dynamical Systems
The iMet Collection 2019 Challenge Dataset
FastLRNR and Sparse Physics Informed Backpropagation
CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
MacWilliams Identities for $m$-tuple Weight Enumerators
Data-Driven Strategy Synthesis for Stochastic Systems with Unknown Nonlinear Disturbances
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud
Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference
Controller Design for Systems on Manifolds in Euclidean Space
Source data selection for out-of-domain generalization
Accelerated Variance Reduced Block Coordinate Descent
Constructive solution of the common invariant cone problem
GENIE: Watermarking Graph Neural Networks for Link Prediction
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs
Approximating Wisdom of Crowds using K-RBMs
A tangential low-rank ADI method for solving indefinite Lyapunov equations
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
A generalised isodiametric problem
A numerical domain decomposition method for solving elliptic equations on manifolds
Subexponential-time Algorithms for Maximum Independent Set in P t -free and Broom-free Graphs
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
Traffic Network Partitioning for Hierarchical Macroscopic Fundamental Diagram Applications Based on Fusion of GPS Probe and Loop Detector Data
Relations among Open-loop Control Ability, Control Strategy Space and Closed-loop Performance for Linear Discrte-time Systems
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
Single Transit Detection In Kepler With Machine Learning And Onboard Spacecraft Diagnostics
RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents
TRATSS: Transformer-Based Task Scheduling System for Autonomous Vehicles
PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites
An algorithmic approach to the existence of ideal objects in commutative algebra
Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets
Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Geometrical Modelling and Numerical Analysis of Dislocaion Mechanics
Nearest Neighbor Representations of Neurons
Strengthened Cutset Upper Bounds on the Capacity of the Relay Channel and Applications
GR decompositions and their relations to Cholesky-like factorizations
A Quantum Algorithm for Computing All Diagnoses of a Switching Circuit
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Swivuriso: The South African Next Voices Multilingual Speech Dataset
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Channel Estimation with Reconfigurable Intelligent Surfaces - A General Framework
Learning to Align Molecules and Proteins: A Geometry-Aware Approach to Binding Affinity
Next-generation Surgical Navigation: Multi-view Marker-less 6DoF Pose Estimation of Surgical Instruments
An effective approach for classification of advanced malware with high accuracy
Community detection for directed networks revisited using bimodularity
Local Positional Encoding for Multi-Layer Perceptrons
Tuning Random Generators: Property-Based Testing as Probabilistic Programming
On Algorithmic Meta-Theorems for Solution Discovery: Tractability and Barriers
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data
Tensor Generalized Canonical Correlation Analysis
Reproducibility Study of Large Language Model Bayesian Optimization
Low rank prior and l0 norm to remove impulse noise in images
Federated Survival Analysis with Node-Level Differential Privacy: Private Kaplan-Meier Curves
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
Fundamental Limits of Routing Attack on Network Overload
Video Understanding by Design: How Datasets Shape Architectures and Insights
Value Iteration Networks with Gated Summarization Module
Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking
LLMs as Potential Brainstorming Partners for Math and Science Problems
A 2-Approximation for Redundancy Aware Network Design with Laminar Demands
Learning Curves for Heterogeneous Feature-Subsampled Ridge Ensembles
On the Compliance of Self-Sovereign Identity with GDPR Principles: A Critical Review
Regress, Don't Guess - A Regression-like Loss on Number Tokens for Language Models
Analysis of Premature Death Rates in Texas Counties: The Impact of Air Quality, Socioeconomic Factors, and COPD Prevalence
Integrating Personalized Federated Learning with Control Systems for Enhanced Performance
The Algebraic Weak Factorisation System for Delta Lenses
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
Dealing With Logical Omniscience: Expressiveness and Pragmatics
Toward A Collection of Cloud Integration Patterns
Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit
On the Probability of Immunity
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Uplink Macro Diversity of Limited Backhaul Cellular Network
Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware
Multidimensional Manifold Extraction for Multicarrier Continuous-Variable Quantum Key Distribution
Learning low-degree quantum objects
Feature Learning by Multidimensional Scaling and its Applications in Object Recognition
Transfer Learning on Multi-Fidelity Data
Trends and Perspectives for Signal Processing in Consumer Audio
RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans
Visualizing high-dimensional loss landscapes with Hessian directions
Sparse induced subgraphs in P_6-free graphs
Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy
cuTN-QSVM: cuTensorNet-accelerated Quantum Support Vector Machine with cuQuantum SDK
Kernel Pre-Training in Feature Space via m-Kernels
Radix Sorting With No Extra Space
Statistical mechanics of the maximum-average submatrix problem
Graph Neural Network Framework for Security Assessment Informed by Topological Measures
UnMarker: A Universal Attack on Defensive Watermarking
The Power of Recursive Embeddings for ℓ p Metrics
Distributed Quantum Hypothesis Testing under Zero-rate Communication Constraints
FieldFuzz: Enabling vulnerability discovery in Industrial Control Systems supply chain using stateful system-level fuzzing
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention
A coupled HDG/DG method for porous media with conducting/sealing faults
Research on Driver Facial Fatigue Detection Based on Yolov8 Model
Massively Parallel Algorithms for String Matching with Wildcards
GP-HMAT: Scalable, O(n log(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices
SEE: Sememe Entanglement Encoding for Transformer-bases Models Compression
Agent-Based Analysis of the Impact of Near Real-Time Data and Smart Balancing on the Frequency Stability of Power Systems
MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question Answer
Telematics Combined Actuarial Neural Networks for Cross-Sectional and Longitudinal Claim Count Data
The importance and need for system monitoring and analysis in HPC operations and research
Robust Event Classification Using Imperfect Real-world PMU Data
Improving MSA Estimation through Adaptive Weight Vectors in MOEA/D
Subset Queries in Relational Databases
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Adaptive Conformal Regression with Jackknife+ Rescaled Scores
Investigating Modality Bias in Audio Visual Video Parsing
Frequency and Quadrature Amplitude Modulation for 5G Networks
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing
Full-Duplex Cognitive Radio: A New Design Paradigm for Enhancing Spectrum Usage
Automatic Classification of Subjective Time Perception Using Multi-modal Physiological Data of Air Traffic Controllers
Combating the Cold Start User Problem in Model Based Collaborative Filtering
Distributed Model Predictive Control for Linear Systems with Adaptive Terminal Sets
Recent Progresses in Deep Learning based Acoustic Models (Updated)
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction
Longest (Sub-)Periodic Subsequence
Rethinking the Detection Head Configuration for Traffic Object Detection
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
Data Privacy and Utility Trade-Off Based on Mutual Information Neural Estimator
PAI-Bench: A Comprehensive Benchmark For Physical AI
Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind
Real-Time Background Subtraction Using Adaptive Sampling and Cascade of Gaussians
Unified Humanoid Fall-Safety Policy from a Few Demonstrations
Equations of States in Singular Statistical Estimation
A Benchmark for Localizing Code and Non-Code Issues in Software Projects
Triangle-free graphs with the fewest independent sets
Robust Multimodal Learning Framework For Intake Gesture Detection Using Contactless Radar and Wearable IMU Sensors
Deployment Corrections: An incident response framework for frontier AI models
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model
Formal security analysis of registration protocols for interactive systems: a methodology and a case of study
Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression
Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data
Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation
Struggle with Adversarial Defense? Try Diffusion
Efficient Low-Memory Fast Stack Decoding with Variance Polarization for PAC Codes
A compact subcell WENO limiting strategy using immediate neighbors for Runge-Kutta Discontinuous Galerkin Methods
Coupled Item-based Matrix Factorization
The Quadratic Assignment Problem is easy for Robinsonian Matrices
Weighted domination models and randomized heuristics
Construction and impromptu repair of an MST in a distributed network with o(m) communication
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees
An Analytical Model for Service Profile Based Service Quality of an Institutional eLibrary
Time-delay based output feedback control of fourth-order oscillatory systems
Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review
Hardware Support for FPGA Resource Elasticity
Machine Learning Approaches to Energy Consumption Forecasting in Households
Deep topic modeling by multilayer bootstrap network and lasso
Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning Approach
The Gatekeeper Effect: The Implications of Pre-Screening, Self-selection, and Bias for Hiring Processes
SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images