yusuke1997/dblp-id-title huggingface dataset:
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation
Sockeye: A Toolkit for Neural Machine Translation
Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach
A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection
Biased news sharing and partisan polarization on social media
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models
Arnoldi-based orthonormal and hierarchical divergence-free polynomial basis and its applications
Uplink Linear Receivers for Multi-cell Multiuser MIMO with Pilot Contamination: Large System Analysis
Collaborative Driving Support System in Mobile Pervasive Environments
Robot Conga: A Leader-Follower Walking Approach to Sequential Path Following in Multi-Agent Systems
Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation
Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure
Fine-Grained Few Shot Learning with Foreground Object Transformation
Exotic phase transitions of k-cores in clustered networks
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
Adaptive Planning Framework for UAV-Based Surface Inspection in Partially Unknown Indoor Environments
Some p-robust a posteriori error estimates based on auxiliary spaces
LN-Gen: Rectal Lymph Nodes Generation via Anatomical Features
CasNet: Investigating Channel Robustness for Speech Separation
Disentangling Learning from Judgment: Representation Learning for Open Response Analytics
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability
Omnidirectional Spatial Modeling from Correlated Panoramas
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
Understanding and Evaluating Trust in Generative AI and Large Language Models for Spreadsheets
A simulation framework for autonomous lunar construction work
Stochastic Structured Mean-Field Variational Inference
A new banded Petrov-Galerkin spectral method
"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
Bifactor Approximation for Location Routing with Vehicle and Facility Capacities
TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
Sparse Difference Resultant
HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
Safe Reinforcement Learning for Grid Voltage Control
A Robust Optimization Approach for Demand Response Participation of Fixed-Frequency Air Conditioners
Bitcoin Price Forecasting Based on Hybrid Variational Mode Decomposition and Long Short Term Memory Network
Effects of Network Structure on the Performance of a Modeled Traffic Network under Drivers' Bounded Rationality
Matryoshka Representation Learning for Recommendation
Double Self-weighted Multi-view Clustering via Adaptive View Fusion
Influence of control parameters on electromechanical coupling characteristics of feed systems and its decoupling method
Outlier Detection by Logic Programming
Sync Pure Counterfactual Regret Minimization in Incomplete Information Extensive Form Games
RectifiedHR: Enable Efficient High-Resolution Image Generation via Energy Rectification
On the Design of Chaos-Based S-boxes
Robust and Efficient Swarm Communication Topologies for Hostile Environments
Universal Generator for Complementary Pairs of Sequences Based on Boolean Functions
IFTT-PIN: Demonstrating the Self-Calibration Paradigm on a PIN-Entry Task
Analysis of Device-to-Device Communications in Uplink Cellular Networks with Lognormal Fading
Improved uniform error bounds on time-splitting methods for the long-time dynamics of the Dirac equation with small potentials
Robust Fault Tolerant uncapacitated facility location
PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation
Linking open-source code commits and MOOC grades to evaluate massive online open peer review
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection
Neural Policy Composition from Free Energy Minimization
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space
High-Performance Data Mapping for BNNs on PCM-based Integrated Photonics
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers
AI-Enhanced Intelligent NIDS Framework: Leveraging Metaheuristic Optimization for Robust Attack Detection and Prevention
Modeling and Simulation of the EV Charging in a Residential Distribution Power Grid
Improving Performance Of English-Hindi Cross Language Information Retrieval Using Transliteration Of Query Terms
Weighted Reed-Solomon convolutional codes
A Lightweight Approach to Performance Portability with targetDP
Industry 4.0 in Finland: Towards Twin Transition
Mixture-of-tastes Models for Representing Users with Diverse Interests
The composition complexity of majority
EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation
StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error
Line-Recovery by Programmable Particles
Development of monitoring systems for anomaly detection using ASTD specifications
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices
Towards Automated Functional Equation Proving: A Benchmark Dataset and A Domain-Specific In-Context Agent
MD-OFDM: An Energy-Efficient and Low-PAPR MIMO-OFDM Variant for Resource-Constrained Applications
Constraint Hypergraphs as a Unifying Framework for Digital Twins
Developing Parallel Dependency Graph In Improving Game Balancing
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency
Attentive pooling for Group Activity Recognition
SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation
NOMA-ISAC: Performance Analysis and Rate Region Characterization
A Short Scalability Study on the SeQUeNCe Parallel Quantum Network Simulator
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision
EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle
The Boost.Build System
Provably accurate adaptive sampling for collocation points in physics-informed neural networks
Physics and technology of Laser Lightning Control
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
RETINA: a hardware-in-the-loop optical facility with reduced optical aberrations
Multilevel quasi Monte Carlo methods for elliptic PDEs with random field coefficients via fast white noise sampling
Scale-Aware Attention Network for Crowd Counting
TPV: Parameter Perturbations Through the Lens of Test Prediction Variance
Hierarchical Fashion Design with Multi-stage Diffusion Models
MCMChaos: Improvising Rap Music with MCMC Methods and Chaos Theory
Pilot Pattern Adaptation for 5G MU-MIMO Wireless Communications
Unmasking the giant: A comprehensive evaluation of ChatGPT's proficiency in coding algorithms and data structures
On Reachable Assignments in Cycles and Cliques
Prophet Inequality from Samples: Is the More the Merrier?
Ovis-Image Technical Report
Understanding Ethical Practices in AI: Insights from a Cross-Role, Cross-Region Survey of AI Development Teams
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures
Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces
An Improved Multi-access Coded Caching with Uncoded Placement
(Machine) Learning to Improve the Empirical Performance of Discrete Algorithms
Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models
The Entailment Problem in Modal and Propositional Dependence Logics
Relevance distributions across Bradford Zones: Can Bradfordizing improve search?
Deep Limit Order Book Forecasting
Renyi Differential Privacy
Preference-Based Learning in Audio Applications: A Systematic Analysis
Saying Hello World with GROOVE - A Solution to the TTC 2011 Instructive Case
Competition for popularity and identification of interventions on a Chinese microblogging site
Facial Expressions Recognition with Convolutional Neural Networks
A Survey on Reinforcement Learning in Aviation Applications
Node Classification in Uncertain Graphs
Prompting Is All Your Need: Automated Android Bug Replay with Large Language Models
On the Design and Implementation of Structured P2P VPNs
Circulant and Toeplitz matrices in compressed sensing
Semi-supervised lane detection with Deep Hough Transform
Refining Gelfond Rationality Principle Towards More Comprehensive Foundational Principles for Answer Set Semantics
How Effective Is Self-Consistency for Long-Context Problems?
A Note on "Confidentiality-Preserving Image Search: A Comparative Study Between Homomorphic Encryption and Distance-Preserving Randomization"
IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems
Wider Channel Attention Network for Remote Sensing Image Super-resolution
Physics-informed deep operator network for traffic state estimation
Specifying Concurrent Programs in Separation Logic: Morphisms and Simulations
High-Order and Energy-Stable Implicit-Explicit Relaxation Runge-Kutta Schemes for Gradient Flows
Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility
Evolution of choices over time: The U.S. Presidential election 2012 and the NY City Mayoral Election, 2013
Parametric Reduced Order Models for the Generalized Kuramoto-Sivashinsky Equations
sudoLLM : On Multi-role Alignment of Language Models
Multi-Modal Causal Inference with Deep Structural Equation Models
Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society
Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation
Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
IID-Based QPP-RNG: A Random Number Generator Utilizing Random Permutation Sorting Driven by System Jitter
Inverse medium scattering problems with Kalman filter techniques
Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network
Search and Rescue in the Face of Uncertain Threats
Flow-based Influence Graph Visual Summarization
FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease
Incidental Polysemanticity
Distance Preserving Grid Layouts
ReCode: Unify Plan and Action for Universal Granularity Control
Data-Dependent Clustering in Exploration-Exploitation Algorithms
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection
Feature Acquisition using Monte Carlo Tree Search
Revealing the Power of Post-Training for Small Language Models via Knowledge Distillation
Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents
G-Transformer for Conditional Average Potential Outcome Estimation over Time
Deep Uzawa for Kinetic Transport with Lagrange-Enforced Boundaries
Computing the matrix fractional power based on the double exponential formula
ScaMaha: A Tool for Parsing, Analyzing, and Visualizing Object-Oriented Software Systems
Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression
SMP-RCR: A Sparse Multipoint Moment Matching Method for RC Reduction
Model-Attentive Ensemble Learning for Sequence Modeling
FASTSUBS: An Efficient Admissible Algorithm for Finding the Most Likely Lexical Substitutes Using a Statistical Language Model
The Ingenuity Mars Helicopter Specified and Analyzed with the Real-time Mode-aware Dataflow Model
Building a Framework for Indigenous Astronomy Collaboration: Native Skywatchers, Indigenous Scientific Knowledge Systems, and The Bell Museum
TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis
Blockchain-enabled Circular Economy - Collaborative Responsibility in Solar Panel Recycling
Modelling Business Agreements in the Multimodal Transportation Domain through Ontological Smart Contracts
Third-Party Language Model Performance Prediction from Instruction
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
PASHA: Efficient HPO with Progressive Resource Allocation
Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation
Analytic Connectivity in General Hypergraphs
VoiceFixer: Toward General Speech Restoration With Neural Vocoder
The Geometry of the space of Discrete Coalescent Trees
Multiscale sequence modeling with a learned dictionary
On Selecting a Conjunction Operation in Probabilistic Soft Logic
LaSalle Invariance Principle for Discrete-time Dynamical Systems: A Concise and Self-contained Tutorial
Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
Rule Generalisation in Intrusion Detection Systems using Snort
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability
Novel View Synthesis for High-fidelity Headshot Scenes
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
A Sobel-Gradient MLP Baseline for Handwritten Character Recognition
Dataset Creation Pipeline for Camera-Based Heart Rate Estimation
The Feasibility of Topic-Based Watermarking on Academic Peer Reviews
Demonstration of low power and highly uniform 6-bit operation in SiO2-based memristors embedded with Pt nanoparticles
On Class Orderings for Incremental Learning
FreDF: Learning to Forecast in Frequency Domain
A Theoretical Study on Spin-Dependent Transport of "Ferromagnet/Carbon Nanotube Encapsulating Magnetic Atoms/Ferromagnet" Junctions with 4-Valued Conductances
Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study
One Jump Is All You Need: Short-Cutting Transformers for Early Exit Prediction with One Jump to Fit All Exit Levels
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?
Accelerating the convergence of Dynamic Iteration method with Restricted Additive Schwarz splitting for the solution of RLC circuits
Arbitrary Generative Video Interpolation
Resource Allocation Using Gradient Boosting Aided Deep Q-Network for IoT in C-RANs
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
Estimation of Photovoltaic Generation Forecasting Models using Limited Information
LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models
Transfer Learning for Bayesian Optimization: A Survey
Effective Mutation Rate Adaptation through Group Elite Selection
L-RCM: a method to detect connected components in undirected graphs by using the Laplacian matrix and the RCM algorithm
GFlowNets for Learning Better Drug-Drug Interaction Representations
Probabilistic network topology prediction for active planning: An adaptive algorithm and application
Versions of Gradient Temporal Difference Learning
Are All Edges Necessary? A Unified Framework for Graph Purification
Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing
The dual codes of two classes of LCD BCH codes
A Rational Krylov Subspace Method for the Computation of the Matrix Exponential Operator
Lightweight Electronic Signatures and Reliable Access Control Included in Sensor Networks to Prevent Cyber Attacks from Modifying Patient Data
AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models
Gabor Barcodes for Medical Image Retrieval
Instruments on large optical telescopes - A case study
Phase transitions and non-equilibrium relaxation in kinetic models of opinion formation
The L1-Potts functional for robust jump-sparse reconstruction
A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves
Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis
Cloth in the Wind: A Case Study of Physical Measurement through Simulation
Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images
A new 3-DOF 2T1R parallel mechanism: Topology design and kinematics
On Improving the Performance of Glitch Classification for Gravitational Wave Detection by using Generative Adversarial Networks
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
Are LSTMs Good Few-Shot Learners?
Hestia: Hierarchical Next-Best-View Exploration for Systematic Intelligent Autonomous Data Collection
Software Development Under Stringent Hardware Constraints: Do Agile Methods Have a Chance?
Differences between preprints and journal articles : Trial using bioRxiv data
Pathwise Uniform Convergence of Time Discretisation Schemes for SPDEs
An architecture for the evaluation of intelligent systems
Mitigating Label Bias via Decoupled Confident Learning
Formally Justifying MDL-based Inference of Cause and Effect
Transferring Vision-Language-Action Models to Industry Applications: Architectures, Performance, and Challenges
GenAI Advertising: Risks of Personalizing Ads with LLMs
Theoretical Understanding of Batch-normalization: A Markov Chain Perspective
The Riemannian Means Field Classifier for EEG-Based BCI Data
Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline
semopy 2: A Structural Equation Modeling Package with Random Effects in Python
TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection
Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages
Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients
Stronger Graph Transformer with Regularized Attention Scores
AudioRole: An Audio Dataset for Character Role-Playing in Large Language Models
Toward a deeper understanding of Visualization through keyword analysis
Hierarchical confusion matrix for classification performance evaluation
Radio-based Traffic Flow Detection and Vehicle Classification for Future Smart Cities
Representation of big data by dimension reduction
A comparative study of micromorphic gradient-extensions for anisotropic damage at finite strains
The Influence of Feature Representation of Text on the Performance of Document Classification
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models
Semantic orchestration and exploitation of material data: A dataspace solution demonstrated on steel and cooper applications
Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations
Simulation of non-Lipschitz stochastic differential equations driven by α-stable noise: a method based on deterministic homogenisation
A Hierarchical IDS for Zero-Day Attack Detection in Internet of Medical Things Networks
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks
Toward Real-Time Wireless Control of Mobile Platforms for Future Industrial Systems
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification
Extending the Benefits of Parallel Elasticity across Multiple Actuation Tasks: A Geometric and Optimization-Based Approach
On Deep Representation Learning from Noisy Web Images
FLASH Viterbi: Fast and Adaptive Viterbi Decoding for Modern Data Systems
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Sequential Planning in Large Partially Observable Environments guided by LLMs
Deep learning approaches to Earth Observation change detection
AesCrop: Aesthetic-driven Cropping Guided by Composition
A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Leveraging NTPs for Efficient Hallucination Detection in VLMs
Mining Top-k Trajectory-Patterns from Anonymized Data
What Is Consciousness? Artificial Intelligence, Real Intelligence, Quantum Mind, And Qualia
Provable General Function Class Representation Learning in Multitask Bandits and MDPs
A New Old Idea: Beam-Steering Reflectarrays for Efficient Sub-THz Multiuser MIMO
Choosability in bounded sequential list coloring
Inducing Meaningful Units from Character Sequences with Slot Attention
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs
On concentration in vortex sheets
Graph neural networks to learn joint representations of disjoint molecular graphs
Hyperparameter-free and Explainable Whole Graph Embedding
SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
SOME/IP Intrusion Detection using Deep Learning-based Sequential Models in Automotive Ethernet Networks
The collective use and evaluation of generative AI tools in digital humanities research: Survey-based results
Clustering with Distributed Data
Task-Decoupled Image Inpainting Framework for Class-specific Object Remover
Towards Robust Automation of Surgical Systems via Digital Twin-based Scene Representations from Foundation Models
Information geometric analysis of phase transitions in complex patterns: the case of the Gray-Scott reaction-diffusion model
Integral Value Transformations: A Class of Affine Discrete Dynamical Systems and an Application
Differentially Private Non-convex Learning for Multi-layer Neural Networks
A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
Gyroscope Calibration via Magnetometer
Grapheme or phoneme? An Analysis of Tacotron's Embedded Representations
Towards White-box Benchmarks for Algorithm Control
Information Properties of a Random Variable Decomposition through Lattices
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC
A Note on the Maximum Number of Minimal Connected Dominating Sets in a Graph
A multilevel Monte Carlo method for high-dimensional uncertainty quantification of low-frequency electromagnetic devices
Coarse-to-Fine 3D Keyframe Transporter
Bias in the journal impact factor
Large Language Model Performance Benchmarking on Mobile Platforms: A Thorough Evaluation
Sceniris: A Fast Procedural Scene Generation Framework
PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data
R2MED: A Benchmark for Reasoning-Driven Medical Retrieval
Linear regression with overparameterized linear neural networks: Tight upper and lower bounds for implicit ℓ 1 -regularization
Role-Based Fault Tolerance System for LLM RL Post-Training
Status of the XTAG System
A Model Predictive Approach for Online Mobile Manipulation of Nonholonomic Objects using Learned Dynamics
$L_p$-stabilization of integrator chains subject to input saturation using Lyapunov-based homogeneous design
The gradient complexity of linear regression
Secure State Estimation against Sensor Attacks in the Presence of Noise
Automata Networks Model of Memory Loss Effects on the Formation of Linguistic Conventions
Neural Computed Tomography
Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models
On the Convergence of EM for truncated mixtures of two Gaussians
Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations
MultiLS: A Multi-task Lexical Simplification Framework