yusuke1997/dblp-id-title huggingface dataset:
Condition for Energy Efficient Watermarking with Random Vector Model without WSS Assumption
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm
Developing Synthesis Flows Without Human Knowledge
Event-aware Video Corpus Moment Retrieval
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning
A New Non Linear, Time Stamped & Feed Back Model Based Encryption Mechanism with Acknowledgement Support
Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling
Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers
Explaining Automatic Image Assessment
From Perceived Effectiveness to Measured Impact: Identity-Aware Evaluation of Automated Counter-Stereotypes
Impact of a reclassification on Web of Science articles on bibliometric indicators
Analysis of the Compaction Behavior of Textile Reinforcements in Low-Resolution In-Situ CT Scans via Machine-Learning and Descriptor-Based Methods
Open-Event Procedure Planning in Instructional Videos
Monadic Datalog over Finite Structures with Bounded Treewidth
3D Grasp Stability Analysis with Coulomb Friction with Hierarchical Convex Relaxations
EfficientUICoder: Efficient MLLM-based UI Code Generation via Input and Output Token Compression
Grammatical Inference as a Satisfiability Modulo Theories Problem
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance
Mixture of Experts Using Tensor Products
Performance Bounds for Multiclass FIFO in Communication Networks: A Deterministic Case
Early Detection of Diabetic Retinopathy and Severity Scale Measurement: A Progressive Review & Scopes
Inertial Sensor Data To Image Encoding For Human Action Recognition
Precision QCD corrections to gluon-initiated diphoton-plus-jet production at the LHC
Net-Zero 6G from Earth to Orbit: Sustainable Design of Integrated Terrestrial and Non-Terrestrial Networks
Effective Medical Code Prediction via Label Internal Alignment
Speeding Up Speech Synthesis In Diffusion Models By Reducing Data Distribution Recovery Steps Via Content Transfer
Improvable Knapsack Problems
Compression-Resistant Backdoor Attack against Deep Neural Networks
Refuting Strong AI: Why Consciousness Cannot Be Algorithmic
State Transition Algorithm
Discrete time Pontryagin maximum principle for optimal control problems under state-action-frequency constraints
Design of the topology for contrastive visual-textual alignment
Real-time tracker with fast recovery from target loss
A Neural Network Approach to ECG Denoising
Numerical Recovery of the Diffusion Coefficient in Diffusion Equations from Terminal Measurement
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication
A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review
Risk-Aware Safety Filters with Poisson Safety Functions and Laplace Guidance Fields
RODIAN: Robustified Median
A deterministic polynomial kernel for Odd Cycle Transversal and Vertex Multiway Cut in planar graphs
Programing Using High Level Design With Python and FORTRAN: A Study Case in Astrophysics
Legal Fact Prediction: Task Definition and Dataset Construction
Construction of 2D explicit cubic quasi-interpolating splines in Bernstein-Bézier form
Avatar Mobility in Networked Virtual Environments: Measurements, Analysis, and Implications
An accelerated expectation-maximization for multi-reference alignment
Exponentially-fitted finite elements for H(curl) and H(div) convection-diffusion problems
CodeAPeel: An Integrated and Layered Learning Technology For Computer Architecture Courses
Large-Scale Educational Question Analysis with Partial Variational Auto-encoders
Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma
Training-Free Data Assimilation with GenCast
CsFEVER and CTKFacts: Czech Datasets for Fact Verification
PiNet: A Permutation Invariant Graph Neural Network for Graph Classification
Monte Carlo Inference via Greedy Importance Sampling
Global passive system approximation
Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Efficient Meta-Tuning for Content-aware Neural Video Delivery
PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data
Toward Practical Self-Supervised Monocular Indoor Depth Estimation
Performance Evaluation of Brokerless Messaging Libraries
Evolution and determinants of firm-level systemic risk in local production networks
A Comparative Study of Scheduling Techniques for Multimedia Applications on SIMD Pipelines
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection
Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments
A KdV-like advection-dispersion equation with some remarkable properties
Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation
Spatially heterogeneous learning by a deep student machine
Active Learning Based Sampling for High-Dimensional Nonlinear Partial Differential Equations
Typed Operational Semantics for Dependent Record Types
Fairness Optimization of RSMA for Uplink Communication based on Intelligent Reflecting Surface
Deep Keyframe Detection in Human Action Videos
Improving Response Selection in Multi-turn Dialogue Systems
On the Applicability of ML Fairness Notions
Mechanizing Operads with Event-B
A note on the Assmus-Mattson theorem for some non-binary codes (a resume)
Judging a Book By its Cover
Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Fully Dynamic Maximal Independent Set with Sublinear Update Time
A Survey on Recognizing Textual Entailment as an NLP Evaluation
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
Superdense Coding with GHZ and Quantum Key Distribution with W in the ZX-calculus
The role of all-optical neural networks
Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation
DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs
A Gentle Introduction to Epistemic Planning: The DEL Approach
Efficient Queue-based CSMA with Collisions
Modeling GRNs with a Probabilistic Categorical Framework
General solutions for nonlinear differential equations: a deep reinforcement learning approach
Constrained Backward Time Travel Planning is in P
Decentralized Wireless Federated Learning with Differential Privacy
VIBE: Can a VLM Read the Room?
Empirical Evaluation of Ambient Sensors as Proximity Detection Mechanism for Mobile Payments
RAR: Setting Knowledge Tripwires for Retrieval Augmented Rejection
From Smør-re-brød to Subwords: Training LLMs on Danish, One Morpheme at a Time
Unilateral Altruism in Network Routing Games with Atomic Players
Discrimination of English to other Indian languages (Kannada and Hindi) for OCR system
ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation
SAFER-Splat: A Control Barrier Function for Safe Navigation with Online Gaussian Splatting Maps
Generalized Quantal Response Equilibrium: Existence and Efficient Learning
Self-Organization in Computation & Chemistry: Return to AlChemy
Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling
A five-layer framework for AI governance: integrating regulation, standards, and certification
GASP: A Gradient-Aware Shortest Path Algorithm for Boundary-Confined Visualization of 2-Manifold Reeb Graphs
Modeling Network Evolution Using Graph Motifs
Analyzing Web Archives Through Topic and Event Focused Sub-collections
Fantômas: Evaluating Reversibility of Face Anonymizations Using a General Deep Learning Attacker
Digital Bricolage: Design Speculations for Embodied Approaches to Digitized Print-based Cultural Collections
Large-scale fine-grained semantic indexing of biomedical literature based on weakly-supervised deep learning
EAQGA: A Quantum-Enhanced Genetic Algorithm with Novel Entanglement-Aware Crossovers
Vulnerability Analysis of Digital Banks' Mobile Applications
GrAALF: Supporting Graphical Analysis of Audit Logs for Forensics
GiMeFive: Towards Interpretable Facial Emotion Classification
A choice-based axiomatization of Nash equilibrium
Orderless Recurrent Models for Multi-label Classification
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms
The inverse obstacle scattering with a tapered wave incidence
Leveraging Semantic Web Technologies for Managing Resources in a Multi-Domain Infrastructure-as-a-Service Environment
Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning
Modeling temporal networks using random itineraries
Nash Welfare and Facility Location
DynamicSurf: Dynamic Neural RGB-D Surface Reconstruction with an Optimizable Feature Grid
OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering
MVMR-FS : Non-parametric feature selection algorithm based on Maximum inter-class Variation and Minimum Redundancy
Trajectory Conditioned Cross-embodiment Skill Transfer
Experiments on Paraphrase Identification Using Quora Question Pairs Dataset
Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network
Erased, But Not Forgotten: Erased Rectified Flow Transformers Still Remain Unsafe Under Concept Attack
On monogamy of non-locality and macroscopic averages: examples and preliminary results
Bayesian CycleGAN via Marginalizing Latent Sampling
Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning
A Survey of Neural Trees
Coupled Scheme for Linear and Hamilton-Jacobi Equations: Theoretical and Numerical Aspects
Transport optimization on complex networks
Consensus Planning with Primal, Dual, and Proximal Agents
Fast integral methods for the Neumann Green's function: applications to capture and signaling problems in two dimensions
Graphene-based Nanoscale Molecular Communication Receiver: Fabrication and Microfluidic Analysis
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
Optimal decision making in robotic assembly and other trial-and-error tasks
Quantifying perturbation impacts for large language models
ReMix: Calibrated Resampling for Class Imbalance in Deep learning
A Fast HOG Descriptor Using Lookup Table and Integral Image
A Coinductive Framework for Infinitary Rewriting and Equational Reasoning (Extended Version)
Subtraction-free complexity and cluster transformations
Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market
Robust Perception and Navigation of Autonomous Surface Vehicles in Challenging Environments
A Note on Induction Schemas in Bounded Arithmetic
Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders
RepDL: Bit-level Reproducible Deep Learning Training and Inference
A Mixer Layer is Worth One Graph Convolution: Unifying MLP-Mixers and GCNs for Human Motion Prediction
Ground states and their characterization of spin-F Bose-Einstein condensates
DeepHash: Getting Regularization, Depth and Fine-Tuning Right
Application of Deep Learning Methods to Processing of Noisy Medical Video Data
Geometry and the complexity of matrix multiplication
Connectivity and interference in device-to-device networks in Poisson-Voronoi cities
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
Efficient Neural Networks for Real-time Analog Audio Effect Modeling
The Infati Data
FLAG: A Framework for FPGA-based LoAd Generation in Profinet Communication
Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics
Combinatorial Entropy Power Inequalities: A Preliminary Study of the Stam region
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections
Diffusion priors enhanced velocity model building from time-lag images using a neural operator
m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks
Optimizing Convolutional Neural Network Architecture via Information Field
Green LIME: Improving AI Explainability through Design of Experiments
Dual skew codes from annihilators: Transpose Hamming ring extensions
Orthogonal Basis Spreading Sequence for Optimal CDMA
Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning
Securing the AI Supply Chain: What Can We Learn From Developer-Reported Security Issues and Solutions of AI Projects?
Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences
A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning
Extreme 3D Face Reconstruction: Looking Past Occlusions
Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AI
UPGS: Unified Pose-aware Gaussian Splatting for Dynamic Scene Deblurring
Real-Time In-Network Machine Learning on P4-Programmable FPGA SmartNICs with Fixed-Point Arithmetic and Taylor
A Note on Arc-Disjoint Cycles in Bipartite Tournaments
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy
Geometry-Based Stochastic Channel Models for 5G: Extending Key Features for Massive MIMO
Additive Tree Ensembles: Reasoning About Potential Instances
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking
Graph powering and spectral robustness
Prediction of New Onset Diabetes after Liver Transplant
Quadratic projectable Runge-Kutta methods
Jamba-1.5: Hybrid Transformer-Mamba Models at Scale
Discrete Logarithmic Fuzzy Vault Scheme
Efficient Few-Shot Learning Without Prompts
Computational Approaches for Modeling Power Consumption on an Underwater Flapping Fin Propulsion System
Graph Neural Networks and Differential Equations: A hybrid approach for data assimilation of fluid flows
Numerical Computation of High Reynolds Number Cavity Flow Using SPH Method with Stream Function and Vorticity Formulation
MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation
Toward a Succinct Index for Order-Preserving Pattern Matching
Shape Your Ground: Refining Road Surfaces Beyond Planar Representations
Flash-X, a multiphysics simulation software instrument
URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds
Metaheuristic Enhanced with Feature-Based Guidance and Diversity Management for Solving the Capacitated Vehicle Routing Problem
Closed-loop field development optimization with multipoint geostatistics and statistical assessment
Enabling Automated Integration Testing of Smart Farming Applications via Digital Twin Prototypes
Vosh: Voxel-Mesh Hybrid Representation for Real-Time View Synthesis
L_DMI: An Information-theoretic Noise-robust Loss Function
A Swift Heuristic Method for Work Order Scheduling under the Skilled-Workforce Constraint
Understanding the Quantum Computational Speed-up via De-quantisation
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution
A Practical O(R log log n+n) time Algorithm for Computing the Longest Common Subsequence
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders
An Interface between Legacy and Modern Mobile Devices for Digital Identity
Dense Error-Correcting Codes in the Lee Metric
EEG-Based Auditory BCI for Communication in a Completely Locked-In Patient Using Volitional Frequency Band Modulation
Joint Attention in Autonomous Driving (JAAD)
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
Optimal Allocation of Tasks and Price of Anarchy of Distributed Optimization in Networked Computing Facilities
Lyapunov Analysis For Monotonically Forward-Backward Accelerated Algorithms
Merging with unknown reliability
A Comparative Study of Glottal Source Estimation Techniques
In-Context Learning can distort the relationship between sequence likelihoods and biological fitness
p-Laplacian Transformer
Tactile interaction with social robots influences attitudes and behaviour
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
Beyond-Quantum Modeling of Question Order Effects and Response Replicability in Psychological Measurements
Research on Detection of Floating Objects in River and Lake Based on AI Intelligent Image Recognition
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Constructing Nitsche's method for variational problems
Understanding the Theoretical Guarantees of DPM
Dynamic Embeddings with Task-Oriented prompting
Interval Fisher's Discriminant Analysis and Visualisation
Reasoning on Time-Series for Financial Technical Analysis
Deep neural networks for fine-grained surveillance of overdose mortality
Strategic Decompositions of Normal Form Games: Zero-sum Games and Potential Games
The egalitarian sharing rule in provision of public projects
An algebraic approach to the Rank Support Learning problem
Geometric Quantization and Epistemically Restricted Theories: The Continuous Case
An ultra-low-power CGRA for accelerating Transformers at the edge
A TimeStamp based Multi-version STM Protocol that satisfies Opacity and Multi-Version Permissiveness
CORec-Cri: How collaborative and social technologies can help to contextualize crises?
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting
A super-polynomial lower bound for learning nonparametric mixtures
On Recurrence Relations of Multi-dimensional Sequences
Sharpness-aware Federated Graph Learning
A New Mattress Development Based on Pressure Sensors for Body-contouring Uniform Support
Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
On Data Synthesis and Post-training for Visual Abstract Reasoning
Rapid prototyping and performance evaluation of MEC-based applications
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors
Modulating Language Model Experiences through Frictions
Notes on Various Errors and Jacobian Derivations for SLAM
Neural Contrast: Leveraging Generative Editing for Graphic Design Recommendations
Multi-Party Dual Learning
The Lagrangian Method for Solving Constrained Markov Games
Legio: Fault Resiliency for Embarrassingly Parallel MPI Applications
Accelerating Loading WebGraphs in ParaGrapher
Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network
Joint NMF for Identification of Shared Features in Datasets and a Dataset Distance Measure
Beam-forming for Secure Communication in Amplify-and-Forward Networks: An SNR based approach
Smart Data-Driven GRU Predictor for SnO 2 Thin films Characteristics
Distributed Self-allocated Time Slot Reuse: Multi-hop Communication in Rigid UAV Formations
Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
The conical Radon transform with vertices on triple lines
Advances of the Python-based Fluid-Structure Interaction capabilities included in SU2
Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning
Scalable Cloud-Native Architectures for Intelligent PMU Data Processing
PriLok: Citizen-protecting distributed epidemic tracing
Carbon-aware Software Services
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data
Neural Proto-Language Reconstruction
Evaluating Context for Deep Object Detectors
Lattice paths below a line of rational slope
A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification
Singing a MIS
Using an Online Learning Environment to Teach an Undergraduate Statistics Course: the tutor-web
Hands-Off Spreadsheets
CausalSpartanX: Causal Consistency and Non-Blocking Read-Only Transactions
Communication-minimizing Asynchronous Tensor Parallelism
ConceptVision: A Flexible Scene Classification Framework
IGA Laplace Eigenfrequencies Distributions and Estimations: Impact of Reparametrization on Eigenfrequency Behavior
On educating machines
Dynamic Local Feature Aggregation for Learning on Point Clouds
Developing a Portable Natural Language Processing Based Phenotyping System
Fractional Barrier Lyapunov Functions with Application to Learning Control
Performance evaluation with a Comparative analysis of mimo channel on The basis of doppler shift and other Probabilistic parameters in fading Environment
A Learning Algorithm based on High School Teaching Wisdom
Access Point Deployment for Localizing Accuracy and User Rate in Cell-Free Systems
Sufficient Conditions for Formation of a Network Topology by Self-interested Agents
TELA: Text to Layer-wise 3D Clothed Human Generation
Federated Learning for Short-term Residential Energy Demand Forecasting
RumbleML: program the lakehouse with JSONiq
Cross Far- and Near-field Wireless Communications in Terahertz Ultra-large Antenna Array Systems
The structure of the polynomials in preconditioned BiCG algorithms and the switching direction of preconditioned systems
State-Dependent Relay Channel with Private Messages with Partial Causal and Non-Causal Channel State Information
Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research
An Agent-Based Simulation of Ageing Societies: Accessibility and Care Dynamics in Remote Areas
Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning
Multiuser Broadcast Erasure Channel with Feedback and Side Information, and its Relation Index Coding
Click2Graph: Interactive Panoptic Video Scene Graphs from a Single Click
Using Deep Learning Techniques and Inferential Speech Statistics for AI Synthesised Speech Recognition
Resource-Guided Program Synthesis
Stochastic Parameter Decomposition
Globally Composite-Learning-Based Intelligent Fast Finite-Time Control for Uncertain Strict-Feedback Systems with Nonlinearly Periodic Disturbances
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Lightweight LSTM Model for Energy Theft Detection via Input Data Reduction
A multi-axis Nanopositioner based on Near-Field Acoustic Levitation and Electromagnetic Actuation
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints
Improving Channel Estimation Through Gold Sequences
Synchronized Smartphone Video Recording System of Depth and RGB Image Frames with Sub-millisecond Precision
Tractability of Konig Edge Deletion Problems
A Survey of Advances in Botnet Technologies
What Programs Want: Automatic Inference of Input Data Specifications
Interference Modeling in Cognitive Radio Networks: A Survey
Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox
A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
The Effect of Top-Down Attention in Occluded Object Recognition
SurfaceNet: Fault-Tolerant Quantum Networks with Surface Codes
Toward Efficient and Robust Multiple Camera Visual-inertial Odometry