yusuke1997/dblp-id-title huggingface dataset:
MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks
BestMan: A Modular Mobile Manipulator Platform for Embodied AI with Unified Simulation-Hardware APIs
Random processes for generating task-dependency graphs
Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) - a Large Language Model Chatbot for Perioperative Medicine
GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm
CHORE: Contact, Human and Object REconstruction from a single RGB image
Formulations and scalability of neural network surrogates in nonlinear optimization problems
Controlled Diversity: Length-optimized Natural Language Generation
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation
On Coding for Cooperative Data Exchange
Channel Estimation for STAR-RIS-aided Wireless Communication
No More Nulls!
Replication-Robust Payoff-Allocation with Applications in Machine Learning Marketplaces
SURE: A Visualized Failure Indexing Approach using Program Memory Spectrum
Fluence Map Prediction with Deep Learning: A Transformer-based Approach
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
Providing Virtual Execution Environments: A Twofold Illustration
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network
Gouverner la standardisation par les changements d'arene. Le cas du XML
Enforcing Bulk Mail Classification
Control invariant set enhanced reinforcement learning for process control: improved sampling efficiency and guaranteed stability
Clustering Coefficient Reflecting Pairwise Relationships within Hyperedges
Cross-Fusion Rule for Personalized Federated Learning
Signal to noise in matching markets
Mega-cities dominate China's urban greening
Gradient Descent Converges to Ridgelet Spectrum
Towards Benchmarking GUI Compatibility Testing on Mobile Applications
Isogeometric finite element analysis of laminated composite plates based on a four variable refined plate theory
Y-shaped Generative Flows
Control strategies for magnetized plasma: a polar coordinates framework
Decentralized gradient algorithm for solution of a linear equation
Reactive Base Control for On-The-Move Mobile Manipulation in Dynamic Environments
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning
Computational Desire Line Analysis of Cyclists on the Dybbølsbro Intersection in Copenhagen
Model-agnostic Fits for Understanding Information Seeking Patterns in Humans
Integrated design of system structure and delayed resonator towards efficient non-collocated vibration absorption
On Linear Separation Capacity of Self-Supervised Representation Learning
An Experimental Study of SOTA LiDAR Segmentation Models
Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction
A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)
AIDE: Annotation-efficient deep learning for automatic medical image segmentation
A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models
Computer Aided Restoration of Handwritten Character Strokes
End-to-End Autonomous Driving through V2X Cooperation
RIZE: Regularized Imitation Learning via Distributional Reinforcement Learning
Empirical Evaluation of Tree distances for Parser Evaluation
Knowledge-Guided Masked Autoencoder with Linear Spectral Mixing and Spectral-Angle-Aware Reconstruction
Criteria Based Evaluation Framework for Service Oriented Methodologies
ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents
Dynamic Injection of Entity Knowledge into Dense Retrievers
Adaptive Development of Koncepts in Virtual Animats: Insights into the Development of Knowledge
An Integrated Blockchain and IPFS Solution for Secure and Efficient Source Code Repository Hosting using Middleman Approach
Randomized Matrix Multiplication: Exact Computation and Probabilistic Bounds
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
On Meta-Learning for Dynamic Ensemble Selection
Optimizing Sphere Valued Gaussian Noise Stability
A Novel Hybrid Algorithm for Task Graph Scheduling
Differentiable neural network representation of multi-well, locally-convex potentials
KPI/KQI-Driven Coordinated Multi-Point in 5G: Measurements, Field Trials, and Technical Solutions
Region-aware Attention for Image Inpainting
Embedding Mental Health Discourse for Community Recommendation
Cold-Start Active Correlation Clustering
A proof-of-concept online metadata catalogue service of Earth observation datasets for human health research in exposomics
Fast inverse lithography based on a model-driven block stacking convolutional neural network
An Effective Framework of Private Ethereum Blockchain Networks for Smart Grid
Linked Data Integration with Conflicts
Sparsely Activated Networks: A new method for decomposing and compressing data
Towards Open-set Camera 3D Object Detection
Evaluation of particle motions in stabilized specimens of transparent sand using deep learning segmentation
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings
Persistence-based operators in machine learning
Structural Node Embeddings with Homomorphism Counts
SciDFM: A Large Language Model with Mixture-of-Experts for Science
Sharing Data Homomorphically Encrypted with Different Encryption Keys
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition
Partial Orders for Efficient BMC of Concurrent Software
StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and Negamax
FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing
Deep COVID-19 Forecasting for Multiple States with Data Augmentation
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management
Stylish and Functional: Guided Interpolation Subject to Physical Constraints
Contract-Based Cooperative Spectrum Sharing
Why Alignment Must Precede Distillation: A Minimal Working Explanation
Higher-Order Uncoupled Learning Dynamics and Nash Equilibrium
The GangaWatch Mobile App to Enable Usage of Water Data in Every Day Decisions Integrating Historical and Real-time Sensing Data
PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models
Measuring productivity in networks: A game-theoretic approach
A Coding Theory Perspective on MultiplexedMolecular Profiling of Biological Tissues
Towards a Paraconsistent Quantum Set Theory
On Automating Proofs of Multiplier Adder Trees using the RTL Books
Local Structure Matching Driven by Local Joint-Saliency-Structure Adaptive Kernel Regression
Social Network Analysis Using Coordination Games
Octopus: Scalable Low-Cost CXL Memory Pooling
Safe Active Feature Selection for Sparse Learning
Towards Bridging the Digital Language Divide
The loss surface of deep linear networks viewed through the algebraic geometry lens
Robust Influence-based Training Methods for Noisy Brain MRI
Fuzzy Approaches to Abductive Inference
A Rapid GeoSAM-Based Workflow for Multi-Temporal Glacier Delineation: Case Study from Svalbard
Continuous monitoring of 𝓁 p norms in data streams
Beyond Needle(s) in the Embodied Haystack: Environment, Architecture, and Training Considerations for Long Context Reasoning
Graph data modelling for outcome prediction in oropharyngeal cancer patients
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
Exploratory Causal Inference in SAEnce
Noisy Computations during Inference: Harmful or Helpful?
AnimatePainter: A Self-Supervised Rendering Framework for Reconstructing Painting Process
Chordless Structure: A Pathway to Simple and Expressive GNNs
On the Golub-Kahan bidiagonalization for ill-posed tensor equations with applications to color image restoration
Maximum Entropy Multivariate Density Estimation: An exact goodness-of-fit approach
The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
The Role of Deep Learning Regularizations on Actors in Offline RL
Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description
On the Limits of Hierarchically Embedded Logic in Classical Neural Networks
Robust Similarity and Distance Learning via Decision Forests
From Rewrite Rules to Axioms in the λΠ-Calculus Modulo Theory
Anomalies, Representations, and Self-Supervision
Efficient Authenticated Encryption Schemes with Public Verifiability
Boosting Black-Box Adversarial Attacks with Meta Learning
A Long-Tail Friendly Representation Framework for Artist and Music Similarity
Decentralized Signaling Mechanisms
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters
The Impact of Crowds on News Engagement: A Reddit Case Study
Deep Representation Learning for Clustering of Health Tweets
Fully-Dynamic Minimum Spanning Forest with Improved Worst-Case Update Time
Continuous-Time Systems for Solving 0-1 Integer Linear Programming Feasibility Problems
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
Performance Optimization on Practical Quantum Random Number Generators: Modification on Min-entropy Evaluation and Acceleration on Post Processing
A Method for RFO Estimation Using Phase Analysis of Pilot Symbols in OFDM Systems
Δ-PINNs: physics-informed neural networks on complex geometries
Security Assessment Rating Framework for Enterprises using MITRE ATT&CK Matrix
GridCertLib: Use Shibboleth to Access the Grid from Web Portals
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
High-order curvilinear mesh in the numerical solution of PDEs with moving frames on the sphere
Analytic approximation of transmutation operators for one-dimensional stationary Dirac operators and applications to solution of initial value and spectral problems
Few-Shot Class Incremental Learning via Robust Transformer Approach
Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method
Your Assumed DAG is Wrong and Here's How To Deal With It
Learning optimal environments using projected stochastic gradient ascent
Attitude Estimation and Position Control of VTOL UAVs using IMU and GPS Measurements
On the adoption, usage and evolution of Kotlin Features on Android development
Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT
TastepepAI, An artificial intelligence platform for taste peptide de novo design
On computable approximations of Landau's constant
Longitudinal Flow Matching for Trajectory Modeling
An Efficient Machine Learning Approach for Accurate Short Term Solar Power Prediction
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
Taylor Genetic Programming for Symbolic Regression
Accessible bridge between category theory and functional programming
Opponents and proponents of the war in Ukraine in Russian social media: who are they?
Relative Fractional Independence Number and Its Applications
Multi-PCA based Fault Detection Model Combined with Prior knowledge of HVAC
MILAN: Masked Image Pretraining on Language Assisted Representation
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets
The Dispersion of Broadcast Channels With Degraded Message Sets Using Gaussian Codebooks
Improving Location-based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning
FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection
Approximating Vertex Cover in Dense Hypergraphs
RiemannLoRA: A Unified Riemannian Framework for Ambiguity-Free LoRA Optimization
TEET! Tunisian Dataset for Toxic Speech Detection
An accurate and efficient numerical framework for adaptive numerical weather prediction
Incremental Collision Laws Based on the Bouc-Wen Model: External Forces and Corner Cases
Objects as Points
Deterministic k -Median Clustering in Near-Optimal Time
Quantum arithmetic operations based on quantum Fourier transform on signed integers
Multi Agent Framework for Collective Intelligence Research
Opera Graeca Adnotata: Building a 34M+ Token Multilayer Corpus for Ancient Greek
ASIST: Automatic Semantically Invariant Scene Transformation
Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing
The Emerging Energy Web
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
Enhancing Time Series Momentum Strategies Using Deep Neural Networks
Bank Loan Prediction Using Machine Learning Techniques
Theoretical Model of Computation and Algorithms for FPGA-based Hardware Accelerators
Towards Explainable Artificial Intelligence in Banking and Financial Services
Acquisition Accuracy Evaluation in Visual Inspection Systems - a Practical Approach
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems
Measuring semantic complexity
FPC-VLA: A Vision-Language-Action Framework with a Supervisor for Failure Prediction and Correction
FrameProv: Towards End-To-End Video Provenance
On a Non-Uniform α-Robust IMEX-L1 Mixed FEM for Time-Fractional PIDEs
Bounds on the Redundancy of Huffman Codes with Known and Unknown Probabilities
Predicate Transformer Semantics for Hybrid Systems: Verification Components for Isabelle/HOL
Limit Behavior and the Role of Augmentation in Projected Saddle Flows for Convex Optimization
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Understanding Student Attitudes and Acceptability of GenAI Tools in Higher Ed: Scale Development and Evaluation
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Machine Learning Emulation of 3D Cloud Radiative Effects
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild
Predict-AI-bility of how humans balance self-interest with the interest of others
On Asymptotics of Moment Distance Between Sensors and Anchor Points
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models
Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization
On countings and enumerations of block-parallel automata networks
An Adaptive Algorithm for Rough Differential Equations
Machine Vision using Diffractive Spectral Encoding
Securing Open Source Clouds Using Models
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
XHand: Real-time Expressive Hand Avatar
Model Predictive Path Planning in Navier-Stokes Flow with POD-Based Reduced-Order Models
Reducing Opacity to Linearizability: A Sound and Complete Method
The Fisher-Rao geometry of CES distributions
Elaborating Evaluation-Order Polymorphism
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization
TaxCalcBench: Evaluating Frontier Models on the Tax Calculation Task
Generalisation and the Risk-Entropy Curve
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
Analysis of Bipartite Networks in Anime Series: Textual Analysis, Topic Clustering, and Modeling
Investigating GANsformer: A Replication Study of a State-of-the-Art Image Generation Model
Algorithm for Semantic Network Generation from Texts of Low Resource Languages Such as Kiswahili
Structural identifiability of battery equivalent circuit models
LID 2020: The Learning from Imperfect Data Challenge Results
Safe Reinforcement Learning for Power System Control: A Review
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing - A Preliminary Study
Application of Fuzzy Assessing for Reliability Decision Making
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series
DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection
Learning What To Hear: Boosting Sound-Source Association For Robust Audiovisual Instance Segmentation
A Weighted and Normalized Gould-Fernandez Brokerage Measure
A propositional cirquent calculus for computability logic
Financial Knowledge Large Language Model
NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving
Distributed Space-Time Interference Alignment
On approximation of solutions of stochastic delay differential equations via randomized Euler scheme
SOS Construction of Compatible Control Lyapunov and Barrier Functions
Learning Synthetic to Real Transfer for Localization and Navigational Tasks
Spin-Orbit Torque Flash Analog-to-Digital Converter
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
Canonical Construction of Quantum Oracles
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Beyond the Desktop: Emerging Technologies for Supporting 3D Collaborative Teams
Curricular and Cyclical Loss for Time Series Learning Strategy
On the Irregularity of Some Molecular Structures
DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving
Unsupervised, Bottom-up Category Discovery for Symbol Grounding with a Curious Robot
Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control
Machine learning-enabled velocity model building with uncertainty quantification
SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model
Robust Integrated Priority and Speed Control based on Hierarchical Stochastic Optimization to Promote Bus Schedule Adherence along Signalized Arterial
A note on a PDE approach to option pricing under xVA
OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging
A Deep Reinforcement Learning Approach for Trading Optimization in the Forex Market with Multi-Agent Asynchronous Distribution
Histogram Transform-based Speaker Identification
New Principles of Coordination in Large-scale Micro- and Molecular-Robotic Groups
Unequal Error Protection: Some Fundamental Limits
A Fast and Effective Method of Macula Automatic Detection for Retina Images
Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
Taming Camera-Controlled Video Generation with Verifiable Geometry Reward
Towards duration robust weakly supervised sound event detection
MAD: Manifold Attracted Diffusion
Minimizing Age of Incorrect Information over a Channel with Random Delay
Exploiting the Brain's Network Structure for Automatic Identification of ADHD Subjects
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Why do These Match? Explaining the Behavior of Image Similarity Models
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
SimAC: A Simple Anti-Customization Method against Text-to-Image Synthesis of Diffusion Models
Taking a shower in Youth Hostels: risks and delights of heterogeneity
Partition strategies for the Maker-Breaker domination game
Deep Metric Learning with Alternating Projections onto Feasible Sets
On Codomain Separability and Label Inference from (Noisy) Loss Functions
Community Detection Based on Link Prediction Methods
Benchmarking the Graphulo Processing Framework
Low-level Online Control of the Formula 1 Power Unit with Feedforward Cylinder Deactivation
Learning Deformation Trajectories of Boltzmann Densities
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models
OS4M: Achieving Global Load Balance of MapReduce Workload by Scheduling at the Operation Level
Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP
Deterministic Algorithmic Approaches to Solve Generalised Wordle
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
Annotation and modeling of emotions in a textual corpus: an evaluative approach
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks
PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations
Prudence When Assuming Normality: an advice for machine learning practitioners
A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent
CBA: Communication-Bound-Aware Cross-Domain Resource Assignment for Pipeline-Parallel Distributed LLM Training in Dynamic Multi-DC Optical Networks
On Quasi-Monte Carlo Methods in Weighted ANOVA Spaces
A Longitudinal Measurement Study of 4chan's Politically Incorrect Forum and its Effect on the Web
Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies
Classification with neural networks with quadratic decision functions
Convergence of solutions of discrete semi-linear space-time fractional evolution equations
Domains, Information Frames, Rough Sets: An Equivalence of Categories
Closed loop interactions between spiking neural network and robotic simulators based on MUSIC and ROS
Network Reliability Estimation in Theory and Practice
Stochastic Subspace via Probabilistic Principal Component Analysis for Characterizing Model Error
User Association and Multi-connectivity Strategies in Joint Terahertz and Millimeter Wave 6G Systems
Linear convergence of the Collatz method for computing the Perron eigenpair of primitive dual number matrix
Improvement in the UAV position estimation with low-cost GPS, INS and vision-based system: Application to a quadrotor UAV
Rate-splitting Multiple Access for Hierarchical HAP-LAP Networks under Limited Fronthaul
A model for the temporal evolution of the spatial coherence in decaying reverberant sound fields
Fast Approximate Multi-output Gaussian Processes
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs
On the weight distribution of convolutional codes
Pose-Track: Joint Multi-Person Pose Estimation and Tracking
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions
Call-Center Staff Scheduling Considering Performance Evolution under Emotional Stress
Kinetics of node splitting in evolving complex networks
Nonparametric Trace Regression in High Dimensions via Sign Series Representation
Deformable GANs for Pose-based Human Image Generation
Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
Multiresolution Feature Guidance Based Transformer for Anomaly Detection
Unveiling Four Key Factors for Tire Force Control Allocation in 4WID-4WIS Electric Vehicles at Handling Limits
Exploring local effects of economic activities using agent-based ecosystem models
YOLOv4: A Breakthrough in Real-Time Object Detection
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations