yusuke1997/dblp-id-title huggingface dataset:
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets
Improving the Validity of Decision Trees as Explanations
The Lepto-Variance of Stock Returns
NOIR 2.0: Neural Signal Operated Intelligent Robots for Everyday Activities
Waiting for QUIC: On the Opportunities of Passive Measurements to Understand QUIC Deployments
IMPACT: Integrated Multi-Domain Emission Pathways For Cities Under Land-Use Policy, Technology Adoption, Climate Change And Grid Decarbonization
A reduced semantics for deciding trace equivalence using constraint systems
Strong (r, p) Cover for Hypergraphs
Partitioning Graphs for the Cloud using Reinforcement Learning
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
Local conservation laws of continuous Galerkin method for the incompressible Navier-Stokes equations in EMAC form
Neurodevelopmental Age Estimation of Infants Using a 3D-Convolutional Neural Network Model based on Fusion MRI Sequences
A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale
Jup2Kub: algorithms and a system to translate a Jupyter Notebook pipeline to a fault tolerant distributed Kubernetes deployment
AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model
Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving
ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs
Introduction to Regularization and Learning Methods for Inverse Problems
Capacity Bounds and a Certain Capacity Region for Special Three-Receiver Broadcast Channels with Side Information
DoraPicker: An Autonomous Picking System for General Objects
MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks
Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization
Enhancing Cross-Modal Medical Image Segmentation through Compositionality
Faster and Better: Reinforced Collaborative Distillation and Self-Learning for Infrared-Visible Image Fusion
An Exploratory Study on the Implementation and Adoption of ERP Solutions for Businesses
Analytical Performance Model for Poisson Wireless Networks with Pathloss and Shadowing Propagation
An AI-Enabled Hybrid Cyber-Physical Framework for Adaptive Control in Smart Grids
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
Comparing entropy rates on finite and infinite rooted trees with length functions
Superactivation of Quantum Channels is Limited by the Quantum Relative Entropy Function
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Bi-Calibration Networks for Weakly-Supervised Video Representation Learning
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results
Deep Learning-Enhanced for Amine Emission Monitoring and Performance Analysis in Industrial Carbon Capture Plants
Online Crowdsourcing
The Flip Schelling Process on Random Geometric and Erdös-Rényi Graphs
Rapid prediction of lab-grown tissue properties using deep learning
The Asymptotic Behaviour of the Proportion of Hard Instances of the Halting Problem (Extended Version)
Secure Multiparty Generative AI
SERRANT: a syntactic classifier for English Grammatical Error Types
PLT-D3: A High-fidelity Dynamic Driving Simulation Dataset for Stereo Depth and Scene Flow
Massive MIMO with Multi-Antenna Users: When are Additional User Antennas Beneficial?
RENATA: REpreseNtation And Training Alteration for Bias Mitigation
Zero Token-Driven Deep Thinking in LLMs: Unlocking the Full Potential of Existing Parameters via Cyclic Refinement
Regular resolution for CNF of bounded incidence treewidth with few long clauses
Discriminative Data-driven Self-adaptive Fraud Control Decision System with Incomplete Information
Leveraging AI to optimize website structure discovery during Penetration Testing
LMILAtt: A Deep Learning Model for Depression Detection from Social Media Users Enhanced by Multi-Instance Learning Based on Attention Mechanism
Robust Auto-landing Control of an agile Regional Jet Using Fuzzy Q-learning
Crystal: Enhancing Blockchain Mining Transparency with Quorum Certificate
Composable Generative Models
MicroSims: A Framework for AI-Generated, Scalable Educational Simulations with Universal Embedding and Adaptive Learning Support
Variance Reduction based Experience Replay for Policy Optimization
Natural Scene Text Editing Based on AI
DRONE: a Distributed gRaph cOmputiNg Engine
Deep learning lattice gauge theories
Optimal Vertex Connectivity Oracles
Few-shot multi-token DreamBooth with LoRa for style-consistent character generation
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs
Conditional quasi-optimal error estimate for a finite element discretization of the p -Navier-Stokes equations: The case p>2
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System
Some Counterexamples for Compatible Triangulations
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks
Companion Unmanned Aerial Vehicles: A Survey
Is data-efficient learning feasible with quantum models?
Optimal Curve Straightening is ∃R-Complete
From Imitation to Refinement - Residual RL for Precise Visual Assembly
Rubber Mallet: A Study of High Frequency Localized Bit Flips and Their Impact on Security
Levels of Product Differentiation in the Global Mobile Phones Market
Matching-based Spectrum Allocation in Cognitive Radio Networks
An Experimental Study on the Learning Outcome of Teaching Elementary Level Children using Lego Mindstorms EV3 Robotics Education Kit
Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions
An Automated Power Conservation System (APCS) using Particle Photon and Smartphone
MTAttack: Multi-Target Backdoor Attacks against Large Vision-Language Models
Electromagnetic Signal Modulation Recognition based on Subgraph Embedding Learning
Temporal attention filters for human activity recognition in videos
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization
From Service-Oriented Computing to Metaverse Services: A Framework for Inclusive and Immersive Learning for Neurodivergent Students
ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3D
The Radon Transform-Based Sampling Methods for Biharmonic Sources from the Scattered Fields
Learning Predictive Models That Transport
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm
Numerical solution of locally loaded Volterra integral equations
LLMs can implicitly learn from mistakes in-context
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference
SoK: A Systematic Review of Context- and Behavior-Aware Adaptive Authentication in Mobile Environments
Superposition through Active Learning lens
Robust detection of overlapping bioacoustic sound events
Learning Generalized Hypergeometric Distribution (GHD) DAG models
The Illusion of Rationality: Tacit Bias and Strategic Dominance in Frontier LLM Negotiation Games
Businesses in high-income zip codes saw sharper foot-traffic reductions during the COVID-19 pandemic
A Tight Upper Bound for the Third-Order Asymptotics of Discrete Memoryless Channels
Optimal Unpredictable Control for Linear Systems
An Analytic Framework for Robust Training of Artificial Neural Networks
Weak-Attention Suppression For Transformer Based Speech Recognition
Performance Evaluation of Parallel Algorithms
Towards General Text Embeddings with Multi-stage Contrastive Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
"Understanding AI": Semantic Grounding in Large Language Models
Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition
Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges
Technical Report: Energy Evaluation of preamble Sampling MAC Protocols for Wireless Sensor Networks
An On-the-fly Tableau-based Decision Procedure for PDL-Satisfiability
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling
DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling
Demonstrating a Control Framework for Physical Human-Robot Interaction Toward Industrial Applications
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods
Deep Genetic Network
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation
Multilevel Knowledge Transfer for Cross-Domain Object Detection
An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
Automated Attack and Defense Framework for 5G Security on Physical and Logical Layers
PAIRS: Parametric-Verified Adaptive Information Retrieval and Selection for Efficient RAG
Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models
Development of Direct Kinematics and Workspace Representation for Smokie Robot Manipulator & the Barret WAM
Let's Resonate! How to Elicit Improvisation and Letting Go in Interactive Digital Art
Are There Functionally Similar Code Clones in Practice?
Regularized Stochastic Block Model for robust community detection in complex networks
CETCAM: Camera-Controllable Video Generation via Consistent and Extensible Tokenization
Extracting Region of Interest for Palm Print Authentication
Never Miss A Beat: An Efficient Recipe for Context Window Extension of Large Language Models with Consistent "Middle" Enhancement
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
Generative AI as a Learning Buddy and Teaching Assistant: Pre-service Teachers' Uses and Attitudes
Static Analysis of Quantum Programs via Gottesman Types
Cross-domain Multi-modal Few-shot Object Detection via Rich Text
Numerical Approximation and Bifurcation Results for an Elliptic Problem with Superlinear Subcritical Nonlinearity on the Boundary
Safe Optimal Interactions Between Automated and Human-Driven Vehicles in Mixed Traffic with Event-triggered Control Barrier Functions
Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study
FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle
Loop2Net: Data-Driven Generation and Optimization of Airfoil CFD Meshes from Sparse Boundary Coordinates
Automating the Derivation of Unification Algorithms: A Case Study in Deductive Program Synthesis
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs
The Architecture of Truth
Agent market orders representation through a contrastive learning approach
Approximate Ricci-flat Metrics for Calabi-Yau Manifolds
Minimum Riesz s-Energy Subset Selection in Ordered Point Sets via Dynamic Programming
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution
Anisotropic Error Analysis of Weak Galerkin finite element method for Singularly Perturbed Biharmonic Problems
Convex Q Learning in a Stochastic Environment: Extended Version
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
G2A2: An Automated Graph Generator with Attributes and Anomalies
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
Explainable Abstract Trains Dataset
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training
TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models
Semantic Networks of Interests in Online NSSI Communities
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents
Unbiased Scene Graph Generation via Two-stage Causal Modeling
Module-per-Object: a Human-Driven Methodology for C++-based High-Level Synthesis Design
Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
Fairness Notions in DAG-based DLTs
Generation of synthetic gait data: application to multiple sclerosis patients' gait patterns
ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models
Computing Limits of Quotients of Multivariate Real Analytic Functions
Top-K Training of GANs: Improving Generators by Making Critics Less Critical
Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
Combining self-labeling and demand based active learning for non-stationary data streams
State-Dependent Interference Channel with Correlated States
X-Teaming Evolutionary M2S: Automated Discovery of Multi-turn to Single-turn Jailbreak Templates
Verification for Reliable Product Lines
Rethinking LLM Training through Information Geometry and Quantum Metrics
FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network
Improved LLM Agents for Financial Document Question Answering
GPU-Accelerated Viterbi Exact Lattice Decoder for Batched Online and Offline Speech Recognition
Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
Prudent Rationalizability and the Best Rationalization Principle
Towards Empowering Diabetic Patients: A perspective on self-management in the context of a group-based education program
Temporal Difference Learning with Experience Replay
AuthenLoRA: Entangling Stylization with Imperceptible Watermarks for Copyright-Secure LoRA Adapters
Face Mask Assistant: Detection of Face Mask Service Stage Based on Mobile Phone
An empirical analysis of dropout in piecewise linear networks
Regions In a Linked Dataset For Change Detection
Deep learning scheme for microwave photonic analog broadband signal recovery
Learning Explicitly Conditioned Sparsifying Transforms
Measuring Woody: The Size of Debian 3.0
Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval
Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination
Leveraging Deep Learning with Multi-Head Attention for Accurate Extraction of Medicine from Handwritten Prescriptions
Implementing distributed λ-calculus interpreter
StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
Unpredictability of AI
Gamma-Convergence and Asymptotic Analysis for a Diffuse Domain Problem with Transmission Boundary Conditions
LLM-Driven Intrinsic Motivation for Sparse Reward Reinforcement Learning
Exploiting New Forms of Multiuser Diversity for Spectrum Sharing in Cognitive Radio Networks
Controller synthesis for MDPs and Frequency LTL$\setminus$GU
GPU Accelerated Batch Multi-Convex Trajectory Optimization for a Rectangular Holonomic Mobile Robot
Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data
Hulls of Projective Reed-Muller Codes
Video Exploration via Video-Specific Autoencoders
Quantum-classical simulation of quantum field theory by quantum circuit learning
Deformably-Scaled Transposed Convolution
Context-Specific Causal Graph Discovery with Unobserved Contexts: Non-Stationarity, Regimes and Spatio-Temporal Patterns
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
Can Machine Learning Create an Advocate for Foster Youth?
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search
Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks
Extraction and Summarization of Explicit Video Content using Multi-Modal Deep Learning
A Novel Paradigm Shift for Next-Generation: Symbiotic Backscatter Rate-Splitting Multiple Access Systems
RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization
Algebraic attacks for solving the Rank Decoding and MinRank problems without Gröbner basis
Recommendations for Baselines and Benchmarking Approximate Gaussian Processes
reAnalyst: Scalable Analysis of Reverse Engineering Activities
A Data Synthesis Method Driven by Large Language Models for Proactive Mining of Implicit User Intentions in Tourism
Estimating the error term in the Trapezium Rule using a Runge-Kutta method
Event-Driven Simulation for Rapid Iterative Development of Distributed Space Flight Software
The structure and modeling results of the parallel spatial switching system
MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound
STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images
Computing with quasiseparable matrices
A Coverage-Guided Testing Framework for Quantum Neural Networks
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance
ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding
CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models
ScaLES: Scalable Latent Exploration Score for Pre-Trained Generative Networks
Reducing Friction in Cloud Migration of Services
When Assurance Undermines Intelligence: The Efficiency Costs of Data Governance in AI-Enabled Labor Markets
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
Threshold-based monitoring of cascading outages with PMU measurements of area angle
Near-Field Channel Modeling for Holographic MIMO Communications
MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text
On computing Ollivier-Ricci curvatures of graphs: fine-grained reductions and local algorithms
Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load
Prior-AttUNet: Retinal OCT Fluid Segmentation Based on Normal Anatomical Priors and Attention Gating
On Observability and Identifiability of Tightly-coupled Ultrawideband-aided Inertial Localization
Learning Admissible Heuristics for A*: Theory and Practice
Model predictive controllers for reduction of mechanical fatigue in wind farms
Education 5.0: Requirements, Enabling Technologies, and Future Directions
TRAPP: An Efficient Point-to-Point Path Planning Algorithm for Road Networks with Restrictions
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge
Convolutional Neural Networks for Sentiment Analysis on Weibo Data: A Natural Language Processing Approach
On the Decidability of Behavioral Equivalences for (P, P)-PRS
An Objective Measure of Quality for Time-Scale Modification of Audio
Faster-than-Nyquist Non-Orthogonal Frequency-Division Multiplexing for Visible Light Communications
Fake It To Make It: Virtual Multiviews to Enhance Monocular Indoor Semantic Scene Completion
Parallelization Strategies for Spatial Agent-based Models
How Good is ChatGPT in Giving Advice on Your Visualization Design?
Learnings from Data Integration for Augmented Language Models
A Unit-Consistent Tensor Completion with Applications in Recommender Systems
Deterministic Regular Expressions With Back-References
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning?
A principled deep learning approach for geological facies generation
Design and Performance Analysis of Unified Reconfigurable Data Integrity Unit for Mobile Terminals
Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
MUPAX: Multidimensional Problem Agnostic eXplainable AI
Reducing Proxy Discrimination
Learning the Correction for Multi-Path Deviations in Time-of-Flight Cameras
Centroid Approximation for Bootstrap
A 'one-size-fits-most' walking recognition method for smartphones, smartwatches, and wearable accelerometers
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings
AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management
CAESAR: Context Awareness Enabled Summary-Attentive Reader
Ethical conceptual replication of visualization research considering sources of methodological bias and practical significance
Minor-free graphs have light spanners
Unsupervised Learning for Topological Classification of Transportation Networks
Abstract argumentation and answer set programming: two faces of Nelson's logic
The power word problem
ConTesse: Accurate Occluding Contours for Smooth Surfaces
Grid Tariffs for Peak Demand Reduction: Is there a Price Signal Conflict with Electricity Spot Prices?
Representing Whole Slide Cancer Image Features with Hilbert Curves
Learning to Transfer Visual Effects from Videos to Images
Recursive Algorithms for Dense Linear Algebra: The ReLAPACK Collection
Eigenfunction Extraction for Ordered Representation Learning
Participation Factor-Based Adaptive Model Reduction for Fast Power System Simulation
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Stability and convergence analysis of a domain decomposition FE/FD method for the Maxwell's equations in time domain
QRKE: Extensions
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
Ontology in Hybrid Intelligence: a concise literature review
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
DatAasee - A Metadata-Lake as Metadata Catalog for a Virtual Data-Lake
Space-Efficient Hierholzer: Eulerian Cycles in O(m) Time and O(n) Space
Using SOA with Web Services for effective Integration of Hospital Information Systems via an Enterprise Service Bus
TOAST: Topological Algorithm for Singularity Tracking
Adaptive Skeleton Graph Decoding
Large age-gap face verification by feature injection in deep networks
Fully Dynamic Set Cover - Improved and Simple
Topotein: Topological Deep Learning for Protein Representation Learning
Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning
Flexible Sampling for the Gaussian Copula Extended Rank Likelihood Model
What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning
Beam Squint Assisted Joint Angle-Distance Localization for Near-Field Communications
The Kalman Filter: a didactical overview
Time Series Analysis of Electricity Price and Demand to Find Cyber-attacks using Stationary Analysis
A Critical Assessment of Online Vs Traditional Review Characteristics
Understanding Practitioners Perspectives on Monitoring Machine Learning Systems
Is segmentation uncertainty useful?
Towards an interdisciplinary, socio-technical analysis of software ecosystem health
Pointwise-in-time error bounds for semilinear and quasilinear fractional subdiffusion equations on graded meshes
A Note on Graphs with 2 Bends
Decentralization Meets Quantization
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm