yusuke1997/dblp-id-title huggingface dataset:
Relative rationality: Is machine rationality subjective?
Differentiable Cluster Graph Neural Network
Vertex-based auxiliary space multigrid method and its application to linear elasticity equations
Submodularity and pairwise independence
OTFS Based Random Access Preamble Transmission For High Mobility Scenarios
A Low-latency Secure Data Outsourcing Scheme for Cloud-WSN
The Thinking Therapist: Training Large Language Models to Deliver Acceptance and Commitment Therapy using Supervised Fine-Tuning and Odds Ratio Policy Optimization
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
Towards Sustainable Personalized On-Device Human Activity Recognition with TinyML and Cloud-Enabled Auto Deployment
Learning to Coordinate without Communication under Incomplete Information
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
Home Energy Management in Smart Grid
A Community-aware Network Growth Model for Synthetic Social Network Generation
CRADMap: Applied Distributed Volumetric Mapping with 5G-Connected Multi-Robots and 4D Radar Sensing
Interpret the Predictions of Deep Networks via Re-Label Distillation
Impacts of Illuminance and Correlated Color Temperature on Cognitive Performance: A VR-Lighting Study
Generating Vision-Language Navigation Instructions Incorporated Fine-Grained Alignment Annotations
Recommending Clinical Trials for Online Patient Cases using Artificial Intelligence
Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics
Unsupervised ensemble of experts (EoE) framework for automatic binarization of document images
Query Efficient PTAS for Minimum Feedback Arc-Set in Tournaments
Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
FedNAMs: Performing Interpretability Analysis in Federated Learning Context
An Augmented Backward-Corrected Projector Splitting Integrator for Dynamical Low-Rank Training
Masquer Hunter: Adversarial Occlusion-aware Face Detection
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview
Whittemore: An embedded domain specific language for causal programming
Convergence analysis of equilibrium methods for inverse problems
A Blockchain-based Semantic Exchange Framework for Web 3.0 toward Participatory Economy
SHIP: A Scalable High-performance IPv6 Lookup Algorithm that Exploits Prefix Characteristics
Checking Trustworthiness of Probabilistic Computations in a Typed Natural Deduction System
Quasi-Orthogonal Runge-Kutta Projection Methods
Multivariate feature ranking of gene expression data
The Geometry of Continuous Latent Space Models for Network Data
Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge
Development of Quantum Circuits for Perceptron Neural Network Training, Based on the Principles of Grover's Algorithm
Multiscale modeling of linear elastic heterogeneous structures based on a localized model order reduction approach
The BEM and DRBEM schemes for the numerical solution of the two-dimensional time-fractional diffusion-wave equations
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation
Accurate Polygonal Mapping of Buildings in Satellite Imagery
Ethical Reasoning and Moral Value Alignment of LLMs Depend on the Language we Prompt them in
On the Detectability of Active Gradient Inversion Attacks in Federated Learning
Attributed Graph Clustering via Generalized Quaternion Representation Learning
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
Embedding Pure Type Systems in the lambda-Pi-calculus modulo
Generalized Denoising Diffusion Codebook Models (gDDCM): Tokenizing images using a pre-trained diffusion model
Liquid Reasoning Transformers: A Sudoku-Based Prototype for Chess-Scale Algorithmic Tasks
Towards Lightweight and Privacy-preserving Data Provision in Digital Forensics for Driverless Taxi
Variational Inference In Pachinko Allocation Machines
The Solution for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition
Are Human Conversations Special? A Large Language Model Perspective
Design and Scheduling of an AI-based Queueing System
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder
Cross-cultural value alignment frameworks for responsible AI governance: Evidence from China-West comparative analysis
Modeling Life as Cognitive Info-Computation
Graph Neural Network Based VC Investment Success Prediction
Operads for Designing Systems of Systems
On sound insulation of pyramidal lattice sandwich structure
TongSIM: A General Platform for Simulating Intelligent Machines
Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices
A High-Rate MSR Code With Polynomial Sub-Packetization Level
Designing a Pseudo-Random Bit Generator with a Novel 5D-Hyperchaotic System
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
Precision-Aware Iterative Algorithms Based on Group-Shared Exponents of Floating-Point Numbers
Constrained Black-Box Attacks Against Multi-Agent Reinforcement Learning
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization
Multispectral Compressive Imaging Strategies using Fabry-Pérot Filtered Sensors
A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization with Applications
Quantifying Policy Responses to a Global Emergency: Insights from the COVID-19 Pandemic
Participatory Design for Mental Health Data Visualization on a Social Robot
Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs
Parameter Analysis in Continuous Data Assimilation for Various Turbulence Models
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL)
GASE: Generatively Augmented Sentence Encoding
Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning
Lifting Interpretability-Performance Trade-off via Automated Feature Engineering
Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing
Information-Collection in Robotic Process Monitoring: An Active Perception Approach
Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach
Coevolution Based Adaptive Monte Carlo Localization (CEAMCL)
Joint Multiuser Downlink Beamforming and Admission Control for Green Cloud-RANs with Limited Fronthaul Based on Mixed Integer Semi-definite Program
Efficient and Compact Representations of Some Non-Canonical Prefix-Free Codes
LLM Agent-Based Simulation of Student Activities and Mental Health Using Smartphone Sensing Data
P-NOC: Adversarial CAM Generation for Weakly Supervised Semantic Segmentation
Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis
An approach to visualize the course of solving of a research task in humans
On the Evaluation of Plug-in Electric Vehicle Data of a Campus Charging Network
Factoring using 2n+2 qubits with Toffoli based modular multiplication
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering
Unifying graded and parameterised monads
Automatic analysis of distance bounding protocols
Predictable Software - A Shortcut to Dependable Computing?
Aspect Specific Opinion Expression Extraction using Attention based LSTM-CRF Network
MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees
RELIANCE: Reliable Ensemble Learning for Information and News Credibility Evaluation
big.LITTLE Vision Transformer for Efficient Visual Recognition
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting
Application of Computer Deep Learning Model in Diagnosis of Pulmonary Nodules
Methodological reflections for AI alignment research using human feedback
Evolving finite elements for advection diffusion with an evolving interface
Stochastic Black Start Resource Allocation to Enable Dynamic Formation of Networked Microgrids and DER-aided Restoration
Generalized Wick Decompositions
Advancements in Upper Body Exoskeleton: Implementing Active Gravity Compensation with a Feedforward Controller
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
Optimization on Pareto sets: On a theory of multi-objective optimization
On the Decoder Error Probability of Rank Metric Codes and Constant-Dimension Codes
Nested Sequents for Intuitionistic Multi-Modal Logics: Cut-Elimination and Lyndon Interpolation
Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification
Explaining Classes through Word Attribution
Degradation Aware Predictive Energy Management Strategy for Ship Power Systems
WaterPark: A Robustness Assessment of Language Model Watermarking
Estimation of Groundwater Storage Variations in Indus River Basin using GRACE Data
Who should pay for frequency-containment ancillary services? Providing incentives to shape investment during the energy transition
How Universal Are SAM2 Features?
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
Supervized Segmentation with Graph-Structured Deep Metric Learning
RISCLESS: A Reinforcement Learning Strategy to Exploit Unused Cloud Resources
Simulated Self-Assessment in Large Language Models: A Psychometric Approach to AI Self-Efficacy
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
2018 Robotic Scene Segmentation Challenge
Multi-hierarchical Independent Correlation Filters for Visual Tracking
Data-driven Identification of Occupant Thermostat-Behavior Dynamics
Off-Network Communications For Future Railway Mobile Communication Systems: Challenges and Opportunities
Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function
A Novel Patch-Based TDA Approach for Computed Tomography
Hereditary Substitution for the λΔ-Calculus
DSAC: Low-Cost Rowhammer Mitigation Using In-DRAM Stochastic and Approximate Counting Algorithm
Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification
Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic
Turbo-ICL: In-Context Learning-Based Turbo Equalization
A Novel Approach For Intranet Mailing For Providing User Authentication
Acronym-Meaning Extraction from Corpora Using Multi-Tape Weighted Finite-State Machines
On a generalization of Watson's trigonometric sum, some of its properties and its relationship to Dowker's sum
Invizo: Arabic Handwritten Document Optical Character Recognition Solution
Phase Transitions for Greedy Sparse Approximation Algorithms
No Free Lunch in Annotation either: An objective evaluation of foundation models for streamlining annotation in animal tracking
A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation
Multiple Kernel-Based Online Federated Learning
Unconventional Visual Sensors for Autonomous Vehicles
How to Design While Loops
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Interpreting Differential Privacy in Terms of Disclosure Risk
DeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image Deraining
The Legislative Recipe: Syntax for Machine-Readable Legislation
LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent Systems
Spatio-temporal motion completion using a sequence of latent primitives
AI-Powered Spearphishing Cyber Attacks: Fact or Fiction?
Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach
Towards Responsible and Explainable AI Agents with Consensus-Driven Reasoning
Agentic AI Systems in Electrical Power Systems Engineering: Current State-of-the-Art and Challenges
PFID: Privacy First Inference Delegation Framework for LLMs
Indoor dense depth map at drone hovering
Catching Contamination Before Generation: Spectral Kill Switches for Agents
A Parametric Framework for Anticipatory Flashflood Warning: Integrating Landscape Vulnerability with Precipitation Forecasts
Optimal Tracking Performance of Control Systems with Two-Channel Constraints
RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark
SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations
Audio Set classification with attention model: A probabilistic perspective
Incomplete Nested Dissection
On the algorithmic complexity of decomposing graphs into regular/irregular structures
Blade Envelopes Part I: Concept and Methodology
Bayesian Learning for Low-Rank matrix reconstruction
Finding Islands of Predictability in Action Forecasting
Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem
Learning from Noisy Labels with Noise Modeling Network
Bipedal locomotion using geometric techniques
A noise based novel strategy for faster SNN training
OrderFusion: Encoding Orderbook for Probabilistic Intraday Price Prediction
Approximation of Polyhedral Surface Uniformization
Adaptive Detection of Polymorphic Malware: Leveraging Mutation Engines and YARA Rules for Enhanced Security
Global synchronization analysis of non-diffusively coupled networks through Contraction Theory
SinSpell: A Comprehensive Spelling Checker for Sinhala
Whoever Said Money Won't Solve All Your Problems? Weighted Envy-free Allocation with Subsidy
Dense Passage Retrieval in Conversational Search
Sparse-mode Dynamic Mode Decomposition for Disambiguating Local and Global Structures
Generative Negative Replay for Continual Learning
Controllability of Social Networks and the Strategic Use of Random Information
Multi-modal multi-class Parkinson disease classification using CNN and decision level fusion
Weighted Conditional EL ⊥ Knowledge Bases with Integer Weights: an ASP Approach
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through f -divergence Minimization
A comparative analysis of a neural network with calculated weights and a neural network with random generation of weights based on the training dataset size
EFlat-LoRA: Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond
2D Grid Map Generation for Deep-Learning-based Navigation Approaches
Optimization in Knowledge-Intensive Crowdsourcing
Application of Graph Based Vision Transformers Architectures for Accurate Temperature Prediction in Fiber Specklegram Sensors
Sharp-interface limits for brittle fracture via the inverse-deformation formulation
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
Grasping by Hanging: a Learning-Free Grasping Detection Method for Previously Unseen Objects
Non-Uniformly Coupled LDPC Codes: Better Thresholds, Smaller Rate-loss, and Less Complexity
Gender of Recruiter Makes a Difference: A study into Cybersecurity Graduate Recruitment
PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models
Speeding up an unsteady flow simulation by adaptive BDDC and Krylov subspace recycling
Go Together: Bridging the Gap between Learners and Teachers
Deterministic approximation for the cover time of trees
UNICORE - From Project Results to Production Grids
Recognition Performance of a Structured Language Model
Diagnosability of Fuzzy Discrete Event Systems
Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models
Training for Obsolescence? The AI-Driven Education Trap
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research
Neural Points: Point Cloud Representation with Neural Fields
Optimal and Suboptimal Finger Selection Algorithms for MMSE Rake Receivers in Impulse Radio UWB Systems
TTC: A high-performance Compiler for Tensor Transpositions
EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI
Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
Correlation Filters with Limited Boundaries
A Latent Dirichlet Allocation (LDA) Semantic Text Analytics Approach to Explore Topical Features in Charity Crowdfunding Campaigns
One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift
Every nonnegative real number is an abelian critical exponent
IAdet: Simplest human-in-the-loop object detection
Learning Adaptive Propagation for Knowledge Graph Reasoning
OmniNova:A General Multimodal Agent Framework
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning
Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes
Cooperative Repair of Multiple Node Failures in Distributed Storage Systems
MP Twitter Abuse in the Age of COVID-19: White Paper
Streaming Weighted Matchings: Optimal Meets Greedy
A Parallel Two-Pass MDL Context Tree Algorithm for Universal Source Coding
RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
Improvements to deep convolutional neural networks for LVCSR
IoMT-Blockchain based Secured Remote Patient Monitoring Framework for Neuro-Stimulation Device
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
TinyTrain: Deep Neural Network Training at the Extreme Edge
Key Lessons from Tailoring Agile Methods for Large-Scale Software Development
MO-GRPO: Mitigating Reward Hacking of Group Relative Policy Optimization on Multi-Objective Problems
Gradient Multi-Normalization for Stateless and Scalable LLM Training
Machine Learning Interpretability Meets TLS Fingerprinting
Genetic agent approach for improving on-the-fly web map generalization
Stabilizing Multimodal Autoencoders: A Theoretical and Empirical Analysis of Fusion Strategies
Many-Goals Reinforcement Learning
Quantifying and mitigating the impact of label errors on model disparity metrics
Self-driving technologies need the help of the public: A narrative review of the evidence
IM: Optimizing Byzantine Consensus for High-Performance Distributed Networks
THiNK: Can Large Language Models Think-aloud?
Mathematical and computational modeling for describing the basic behavior of free radicals and antioxidants within epithelial cells
CoT-Saliency: Unified Chain-of-Thought Reasoning for Heterogeneous Saliency Tasks
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining
Dipole-Loaded Monopole Optimized Using VSO, v.3
SARA: A Stall-Aware Memory Allocation Strategy for Mixed-Criticality Systems
Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
Estimating Within-School Contact Networks to Understand Influenza Transmission
Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs
OccVLA: Vision-Language-Action Model with Implicit 3D Occupancy Supervision
Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach
ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data
Exemplar-Centered Supervised Shallow Parametric Data Embedding
Benchmarking terminology building capabilities of ChatGPT on an English-Russian Fashion Corpus
Deep learning of geometrical cell division rules
Trajectory Deformations from Physical Human-Robot Interaction
Building a Better B-Dot: Fast Detumbling with Non-Monotonic Lyapunov Functions
A Comprehensive Assessment of Dialog Evaluation Metrics
Sequential Decision Problems with Weak Feedback
A Generalized Curvilinear Coordinate system-based Patch Dynamics Scheme in Equation-free Multiscale Modelling
Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Visibility
A Classical Fuzzy Approach for Software Effort Estimation on Machine Learning Technique
A Theoretical Framework for Acoustic Neighbor Embeddings
Analysis-suitable T-splines: characterization, refineability, and approximation
Lattice Protein Folding with Variational Annealing
Compositional Analysis for Almost-Sure Termination of Probabilistic Programs
Going in circles is the way forward: the role of recurrence in visual inference
Technical Analysis on Financial Forecasting
PLUM: Preference Learning Plus Test Cases Yields Better Code Language Models
Structured exploration in the finite horizon linear quadratic dual control problem
Propagation of Chaos in One-hidden-layer Neural Networks beyond Logarithmic Time
Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study
Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation
All-optical scalable spatial coherent Ising machine
Optimal Contract Design for Information Acquisition and Sensing
From Zero-Freeness to Strong Spatial Mixing via a Christoffel-Darboux Type Identity
High-Fidelity Face Swapping with Style Blending
Wiener index of binomial trees and Fibonacci trees
OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language
Scenario-based Thermal Management Parametrization Through Deep Reinforcement Learning
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
On Non-Orthogonal Multiple Access with Finite-Alphabet Inputs in Z-Channels
ADER-WENO Finite Volume Schemes with Space-Time Adaptive Mesh Refinement
Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine
Analysis of Breakdown Probability of Wireless Sensor Networks with Unreliable Relay Nodes
Advancing Software Quality: A Standards-Focused Review of LLM-Based Assurance Techniques
Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization
Lengths of Words Accepted by Nondeterministic Finite Automata
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning
A Review of Multi-Objective Deep Learning Speech Denoising Methods
Introduction to Set Shaping Theory
A Novel No-Reference Image Quality Metric For Assessing Sharpness In Satellite Imagery
Differentiable model-based adaptive optics with transmitted and reflected light
Reinforcement Learning in a large scale photonic Recurrent Neural Network
The Parameterized Complexity of Quantum Verification
Radiative Backpropagation with Non-Static Geometry
Separator-Based Graph Embedding into Multidimensional Grids with Small Edge-Congestion
EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model
A Database of Ultrastable MOFs Reassembled from Stable Fragments with Machine Learning Models
Dynamic Bidding for Advance Commitments in Truckload Brokerage Markets
Genetic-Gated Networks for Deep Reinforcement
Multiscale Network Generation
Real-Time Well Log Prediction From Drilling Data Using Deep Learning
Order-Invariance of Two-Variable Logic is coNExpTime-complete
A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System
On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
A Framework of Value Exchange and Role Playing in Web 2.0 WebSites
Guarantee Regions for Local Explanations
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates
Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions
Defining implication relation for classical logic
Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions