yusuke1997/dblp-id-title huggingface dataset:
Competing or Collaborating? The Role of Hackathon Formats in Shaping Team Dynamics and Project Choices
Generalized Fitted Q-Iteration with Clustered Data
Convergence Results For Q-Learning With Experience Replay
A Causal Convolutional Neural Network for Motion Modeling and Synthesis
Torque-Aware Momentum
SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis
Efficient Adaptive Federated Optimization
Polynomial Optimization for Bounding Lipschitz Constants of Deep Networks
XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion
Referring Video Object Segmentation with Inter-Frame Interaction and Cross-Modal Correlation
Epistemic Learning Programs A Calculus for Describing Epistemic Action Models
Identifying the number of clusters for K-Means: A hypersphere density based approach
Conformal Prediction Meets Long-tail Classification
A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machine
Introduction to Big data Technology
Efficiency through Uncertainty: Scalable Formal Synthesis for Stochastic Hybrid Systems
High-order Compact Gas-kinetic Scheme for Two-layer Shallow Water Equations on Unstructured Mesh
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
Multiple Ways of Working with Users to Develop Physically Assistive Robots
Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark Dataset
Distributed Parallelization of xPU Stencil Computations in Julia
Libros en abierto de las editoriales universitarias españolas
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties
Automatic congruences for diagonals of rational functions
Performance Dynamics and Termination Errors in Reinforcement Learning: A Unifying Perspective
Wind Farm Layout Optimization with Cooperative Control Considerations
LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
An Approximate Marginal Spread Computation Approach for the Budgeted Influence Maximization with Delay
The ALICE O2 common driver for the C-RORC and CRU read-out cards
A Neurosymbolic Framework for Bias Correction in CNNs
On the Interplay of Clustering and Evolution in the Emergence of Epidemic Outbreaks
Query-Specific Knowledge Graphs for Complex Finance Topics
Saliency based Semi-supervised Learning for Orbiting Satellite Tracking
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast
MRI-Based Brain Tumor Detection through an Explainable EfficientNetV2 and MLP-Mixer-Attention Architecture
Reducing Matroid Optimization to Basis Search
Isotonic Quantile Regression Averaging for uncertainty quantification of electricity price forecasts
Functional connectivity patterns of autism spectrum disorder identified by deep feature learning
Renormalized Wolfram model exhibiting non-relativistic quantum behavior
Generation of concept-representative symbols
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction
Limits to Verification and Validation of Agentic Behavior
Towards Resolving Software Quality-in-Use Measurement Challenges
Beyond Photo Realism for Domain Adaptation from Synthetic Data
An Event-based Algorithm for Simultaneous 6-DOF Camera Pose Tracking and Mapping
WebTrust: An AI-Driven Data Scoring System for Reliable Information Retrieval
Improved Space efficient algorithms for BFS, DFS and applications
Should Machine Learning Models Report to Us When They Are Clueless?
Probing the robustness of nested multi-layer networks
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework
Wireless Spectrum in Rural Farmlands: Status, Challenges and Opportunities
PTPARL-D: Annotated Corpus of 44 years of Portuguese Parliament debates
MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence
TART: A Comprehensive Tool for Technique-Aware Audio-to-Tab Guitar Transcription
A problem on track runners
Multilayer Dense Connections for Hierarchical Concept Classification
CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Deep Speech Synthesis from Multimodal Articulatory Representations
Cross Attention-guided Dense Network for Images Fusion
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network
From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects
VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning
A pseudo-reversible normalizing flow for stochastic dynamical systems with various initial distributions
Performance and sensitivities of home detection from mobile phone data
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Fast Unsupervised Tensor Restoration via Low-rank Deconvolution
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network
The natural stability of autonomous morphology
FATROP : A Fast Constrained Optimal Control Problem Solver for Robot Trajectory Optimization and Control
Binary Diff Summarization using Large Language Models
SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decision
Semantic-Effectiveness Filtering and Control for Post-5G Wireless Connectivity
Theoretical approach and impact of correlations on the critical packet generation rate in traffic dynamics on complex networks
A Semiparametric Approach to Interpretable Machine Learning
The Finite Satisfiability Problem for Two-Variable, First-Order Logic with one Transitive Relation is Decidable
Age-upon-Decisions Minimizing Scheduling in Internet of Things: To be Random or to be Deterministic?
ResFeats: Residual Network Based Features for Image Classification
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
Interactive Analysis of LLMs using Meaningful Counterfactuals
Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping
Bridging the gap between graphs and networks
Characterizing Input Methods for Human-to-robot Demonstrations
Efficient LU factorization exploiting direct-indirect Burton-Miller equation for Helmholtz transmission problems
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
Evaluating Relayed and Switched Quantum Key Distribution (QKD) Network Architectures
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes
SGDR: Stochastic Gradient Descent with Restarts
Can LLMs Grade Short-answer Reading Comprehension Questions : Foundational Literacy Assessment in LMICs
Towards Learning Through Open-Domain Dialog
Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets
Traffic Optimization for TCP-based Massive Multiplayer Online Games
Dissecting the NVidia Turing T4 GPU via Microbenchmarking
Memory-based Optimization Methods for Model-Agnostic Meta-Learning
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer
Computing a Sparse Projection into a Box
Curvature Regularized Surface Reconstruction from Point Cloud
Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical Demonstration
BadRes: Reveal the Backdoors through Residual Connection
Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country - Sri Lanka
A novel framework for adaptive stress testing of autonomous vehicles in highways
Robot self-calibration using multiple kinematic chains
Structured Graph Learning for Clustering and Semi-supervised Classification
Metrics matter in community detection
Matroids and Quantum Secret Sharing Schemes
Deep Learning with Coherent VCSEL Neural Networks
Language Self-Play For Data-Free Training
Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function
Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach
GAMA++: Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels
Mobile Device Association and Resource Allocation in Small-Cell IoT Networks with Mobile Edge Computing and Caching
Enhancing Radiographic Disease Detection with MetaCheX, a Context-Aware Multimodal Model
Dissipativity-Based Synthesis of Distributed Control and Communication Topology Co-Design for AC Microgrids
A Computational Evaluation of Musical Pattern Discovery Algorithms
Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles
Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions
A high-order, conservative and positivity-preserving intersection-based remapping method between meshes with isoparametric curvilinear cells
An accurate, robust, and efficient finite element framework for anisotropic, nearly and fully incompressible elasticity
Hairpin Motors for Electromobility: Twists and Bends of a Technological Breakthrough that Initially Arrived A Century Too Soon
FRQI Pairs method for image classification using Quantum Recurrent Neural Network
C5: Towards Better Conversation Comprehension and Contextual Continuity for ChatGPT
SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation
A function approximation algorithm using multilevel active subspaces
Conformal Geometry, Euclidean Space and Geometric Algebra
Comparative Analysis of Technical and Legal Frameworks of Various National Digial Identity Solutions
Close Approximations for Daublets and their Spectra
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
Constraint information inequalities revisited
Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes]
A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing
Autonomous Grid-Forming Inverter Exponential Droop Control for Improved Frequency Stability
Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine Learning
Ultimate tensorization: compressing convolutional and FC layers alike
Type-Compliant Adaptation Cascades: Adapting Programmatic LM Workflows to Data
Multilayer Perceptron Algebra
stream-learn - open-source Python library for difficult data stream batch analysis
On the quantum time complexity of divide and conquer
Tuning an H-Infinity Controller with a Given Order and a Structure for Interconnected Systems with Delays
Adaptive Fractional PID Controller for Robot Manipulator
Structured Matching via Cost-Regularized Unbalanced Optimal Transport
Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
Advancing Through Terrains
A Converse Bound on Wyner-Ahlswede-Körner Network via Gray-Wyner Network
An Improved Square-root Algorithm for V-BLAST Based on Efficient Inverse Cholesky Factorization
A Review of 3D Object Detection with Vision-Language Models
Designing Non-monetary Intersection Control Mechanisms for Efficient Selfish Routing
3LM: Bridging Arabic, STEM, and Code through Benchmarking
Partial and weighted matrix multiplication
PushPull-Net: Inhibition-driven ResNet robust to image corruptions
Learning Dark Souls Combat Through Pixel Input With Neuroevolution
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Realistic Incomplete Data Scenarios
Emotion Recognition in Multi-Speaker Conversations through Speaker Identification, Knowledge Distillation, and Hierarchical Fusion
ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators
State-Space Models for Tabular Prior-Data Fitted Networks
Digital Shearlet Transform
DSNet for Real-Time Driving Scene Semantic Segmentation
Acme: A Research Framework for Distributed Reinforcement Learning
Generational Differences in Automobility: Comparing America's Millennials and Gen Xers Using Gradient Boosting Decision Trees
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures
High pressure hydrogen by machine learning and quantum Monte Carlo
EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
When the Left Foot Leads to the Right Path: Bridging Initial Prejudice and Trainability
How Generative Adversarial Nets and its variants Work: An Overview of GAN
Topological Understanding of Neural Networks, a survey
Adaptive large neighborhood search for a personnel task scheduling problem with task selection and parallel task assignments
Improving scalability and reliability of MPI-agnostic transparent checkpointing for production workloads at NERSC
Household Plastic Recycling: Empirical Insights and Design Explorations
Theory of Graph Neural Networks: Representation and Learning
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
Unfocused images removal of z-axis overlapping Mie scattering particles by using three-dimensional nonlinear diffusion based on digital holography
Towards a predictive spatio-temporal representation of brain data
About some properties of simple trigonometric splines
Learning from Binary Labels with Instance-Dependent Corruption
A Hardware-aware and Stable Orthogonalization Framework
Efficient Nonparametric Conformal Prediction Regions
Assessment of Anterior Cruciate Ligament Injury Risk Based on Human Key Points Detection Algorithm
Tesselating a Pascal-like tetrahedron for the subdivision of high order tetrahedral finite elements
On the Exact Amount of Missing Information that makes Finding Possible Winners Hard
Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
MixCut: A Data Augmentation Method for Facial Expression Recognition
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why
Difficulty as a Proxy for Measuring Intrinsic Cognitive Load Item
IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators
DISCOVER: Data-driven Identification of Sub-activities via Clustering and Visualization for Enhanced Activity Recognition in Smart Homes
Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks
power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function
Artificial Intelligence and Accounting Research: A Framework and Agenda
Redeeming Intrinsic Rewards via Constrained Optimization
The Content Moderator's Dilemma: Removal of Toxic Content and Distortions to Online Discourse
How to introduce an initial crack in phase field simulations to accurately predict the linear elastic fracture propagation threshold?
Emergent Crowds Dynamics from Language-Driven Multi-Agent Interactions
Towards Unsupervised Object Detection From LiDAR Point Clouds
The Parameterised Complexity of List Problems on Graphs of Bounded Treewidth
Generating Feasible and Diverse Synthetic Populations Using Diffusion Models
Deep ReLU neural networks overcome the curse of dimensionality when approximating semilinear partial integro-differential equations
Innovation in Large-scale agile - Benefits and Challenges of Hackathons when Hacking from Home
Quasi-Polynomial Time Approximation Schemes for Target Tracking
Ethical Implications of AI in Data Collection: Balancing Innovation with Privacy
Modern Minimal Perfect Hashing: A Survey
Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior
Machine Learning for Postprocessing Ensemble Streamflow Forecasts
Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
GOAT-SLM: A Spoken Language Model with Paralinguistic and Speaker Characteristic Awareness
Linear causal disentanglement via higher-order cumulants
Towards Structured Deep Neural Network for Automatic Speech Recognition
Roto-Translation Invariant Formation of Fixed-Wing UAVs in 3D: Feasibility and Control
A Computational Model for Molecular Interactions Between Curved Slender Fibers Undergoing Large 3D Deformations With a Focus on Electrostatic, van der Waals and Repulsive Steric Forces
Analytical Modeling the Multi-Core Shared Cache Behavior with Considerations of Data-Sharing and Coherence
Characterising different communities of Twitter users: Migrants and natives
Optimal higher-order convergence rates for parabolic multiscale problems
A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media
2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks
Online Packet Scheduling under Adversarial Jamming
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning
A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos
Weakly-supervised Visual Grounding of Phrases with Linguistic Structures
A fast and simple method of extracting the backbone of one-mode projections: An aid in the detection of communities
Entropy And Vision
Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous Driving
Remarks on Parikh-recognizable omega-languages
Statistical Traffic State Analysis in Large-scale Transportation Networks Using Locality-Preserving Non-negative Matrix Factorization
Zebra: Memory Bandwidth Reduction for CNN Accelerators With Zero Block Regularization of Activation Maps
Algebraic signatures of convex and non-convex codes
On representation power of neural network-based graph embedding and beyond
Performance Analysis of Symmetric Key Ciphers in Linear and Grid Based Sensor Networks
Virtual Machines and Networks - Installation, Performance Study, Advantages and Virtualization Options
A Workflow for Full Traceability of AI Decisions
Interpolation under latent factor regression models
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Data
Matroidal structure of regular set based on serial and transitive relation
Selective Shot Learning for Code Explanation
Petascale computations for Large-scale Atomic and Molecular collisions
A Bias Trick for Centered Robust Principal Component Analysis
On the completeness of several fortification-interdiction games in the Polynomial Hierarchy
Bayesian Compressive Sensing via Belief Propagation
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization
Leveraging Multi-Connectivity for Multicast Video Streaming
Computational Higher Type Theory IV: Inductive Types
FuGeIDS: Fuzzy Genetic paradigms in Intrusion Detection Systems
Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element
Data driven modeling of self-similar dynamics
Assessing the Frequency Response Potential of Heavy-Duty Electric Vehicles with Vehicle-to-Grid Integration in the California Power System
Supervising Remote Sensing Change Detection Models with 3D Surface Semantics
Finite Model Finding for Parameterized Verification
List-Decoding Gabidulin Codes via Interpolation and the Euclidean Algorithm
A Hybrid DC Fault Primary Protection Algorithm for Multi-Terminal HVdc Systems
Track Anything Behind Everything: Zero-Shot Amodal Video Object Segmentation
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices
A Review of SRAM-based Compute-in-Memory Circuits
A Set-based Approach for Feature Extraction of 3D CAD Models
A pilot cohort study of a microfluidic-based point-of-care bilirubin measurement system
Message passing resource allocation for the uplink of multicarrier systems
Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video
Are Neural Operators Really Neural Operators? Frame Theory Meets Operator Learning
Co-Optimizing Distributed Energy Resources under Demand Charges and Bi-Directional Power Flow
Fully Self-Supervised Learning for Semantic Segmentation
User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation
Beyond Diagonal Reconfigurable Intelligent Surfaces with Mutual Coupling: Modeling and Optimization
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design
AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond
Breakdown Point of Robust Support Vector Machine
Deep Learning for Speech Emotion Recognition: A CNN Approach Utilizing Mel Spectrograms
Balanced truncation model reduction for 3D linear magneto-quasistatic field problems
Active learning of tree tensor networks using optimal least-squares
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting
Incremental Feature Learning For Infinite Data
Deep Reinforcement Learning for Community Battery Scheduling under Uncertainties of Load, PV Generation, and Energy Prices
Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos
Learning Deep Video Stabilization without Optical Flow
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation
Bounds on k -hash distances and rates of linear codes
The Geometry of Meaning: Perfect Spacetime Representations of Hierarchical Structures
Of Hags and bitches. Ageist attitudes in 2016 presidential debate on twitter
Neural Style Transfer for Synthesising a Dataset of Ancient Egyptian Hieroglyphs
Make Inference Faster: Efficient GPU Memory Management for Butterfly Sparse Matrix Multiplication
Multi-Sense Language Modelling
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Electronic Health Records
Designing a Conditional Prior Distribution for Flow-Based Generative Models
Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Control, and Analysis
Evaluating the Effectiveness of Mobile Game-Based Learning for Raising Adolescent Health Awareness: The Case of "AHlam Na 2.0"
Enhancing Generalization of Spiking Neural Networks Through Temporal Regularization
On the Size of Optimal Anticodes over Permutations with the Infinity Norm
Synthesizing Short-Circuiting Validation of Data Structure Invariants
The SJTU System for Short-duration Speaker Verification Challenge 2021