yusuke1997/dblp-id-title huggingface dataset:
Simulating the economic impact of rationality through reinforcement learning and agent-based modelling
Message-Passing Inference on a Factor Graph for Collaborative Filtering
Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay
Dimitra: Audio-driven Diffusion model for Expressive Talking Head Generation
Implementation of complex-valued sliding mode controllers in three-phase power converters
Projective simulation with generalization
6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks
MGHanD: Multi-modal Guidance for authentic Hand Diffusion
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images
Theroretical Insight into Batch Normalization: Data Dependant Auto-Tuning of Regularization Rate
A Variational Bayesian Perspective on Massive MIMO Detection
Robustness Analysis of Stochastic Jumps and Design of Resource-Optimal Switching Policies for Cyber-Physical Systems
Joint Source-Channel Coding Revisited: Information-Spectrum Approach
Computing Generalized Eigenfunctions in Rigged Hilbert Spaces
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series
On the Formal Model for IEC 61499 Composite Function Blocks
Computational timbre and tonal system similarity analysis of the music of Northern Myanmar-based Kachin compared to Xinjiang-based Uyghur ethnic groups
Structured Error Recovery for Codeword-Stabilized Quantum Codes
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Why lockdown : On the spread of SARS-CoV-2 in India, a network approach
Indexing schemes for similarity search: an illustrated paradigm
Gaussian-LIC: Photo-realistic LiDAR-Inertial-Camera SLAM with 3D Gaussian Splatting
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain
Numerical Discretization Schemes that Preserve Flatness
On group coherence of frames
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
Learning Competing Constraints and Task Priorities from Demonstrations of Bimanual Skills
SmartphoneDemocracy: Privacy-Preserving E-Voting on Decentralized Infrastructure using Novel European Identity
The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs
MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
Preset-Voice Matching for Privacy Regulated Speech-to-Speech Translation Systems
Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering
Randomly sparsified Richardson iteration is really fast
Asymptotic-preserving and energy stable dynamical low-rank approximation
Productive, Anxious, Lonely - 24 Hours Without Push Notifications
Machine Learning Friendly Set Version of Johnson-Lindenstrauss Lemma
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction
Generative Partial Multi-View Clustering
Multi-hop Federated Private Data Augmentation with Sample Compression
ODEWS: The Overdraft Early Warning System
Asymptotic preserving finite volume method for the compressible Euler equations: analysis via dissipative measure-valued solutions
Training a Feed-forward Neural Network with Artificial Bee Colony Based Backpropagation Method
Extending Stress Detection Reproducibility to Consumer Wearable Sensors
An improvement of the Moser-Tardos algorithmic local lemma
Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems
Multiuser Diversity Gain from Superposition of Infinite Users over Block-Fading MAC
Deep Trans-layer Unsupervised Networks for Representation Learning
Joint Feedback Loop for Spend and Return-On-Spend Constraints
Hardware-In-the-Loop for Connected Automated Vehicles Testing in Real Traffic
Analysis of Hopfield Model as Associative Memory
On the Semantics of LM Latent Space: A Vocabulary-defined Approach
Multi-task pre-training of deep neural networks for digital pathology
Eigenstructure of Maximum Likelihood from Counting Data
Strengthening Proportionality in Temporal Voting
A randomized polynomial kernelization for Vertex Cover with a smaller parameter
Joint Time-Position Statistics and Fisher Information in Drift-Diffusion Molecular Channels
Monitorology the art of observing the world
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication
A New Fairness Model based on User's Objective for Multi-user Multi-processor Online Scheduling
CDSM - Casual Inference using Deep Bayesian Dynamic Survival Models
Fast PDE-constrained optimization via self-supervised operator learning
Quantum adaptive agents with efficient long-term memories
Investigating the Role of Pedestrian Groups in Shared Spaces through Simulation Modeling
Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)
A Secure Authentication-Driven Protected Data Collection Protocol in Internet of Things
In Alexa, We Trust. Or Do We? : An analysis of People's Perception of Privacy Policies
Anomaly component analysis
Maneuver Regulation for Accelerating Bodies in Atmospheric Environments
Simultaneously determine elastic impedance and shape by a Newton-type iterative method
Performance Exploration of Virtualization Systems
Quantum tunneling and orthogonality time in an exactly solvable coupled double-well system
Deep Structured Generative Models
The Changing Role of RSEs over the Lifetime of Parsl
EXACT-Net: EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy
Predicting Rankings of Software Verification Competitions
Thin Partitions: Isoperimetric Inequalities and Sampling Algorithms for some Nonconvex Families
Adaptive and non-adaptive randomized approximation of high-dimensional vectors
Several new classes of self-orthogonal minimal linear codes violating the Ashikhmin-Barg condition
Expected performance bounds for estimation on graphs from random relative measurements
Linguistic Characteristics of Censorable Language on SinaWeibo
SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog [Experiment, Analysis and Benchmark]
Full-Duplex Radios for Edge Caching
Closed-loop robust control of long-term diabetes progression via physical activity management
Early alignment in two-layer networks training is a two-edged sword
Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers
Counting Hypergraphs in Data Streams
Probabilistic Bisection with Spatial Metamodels
Fast Class-wise Updating for Online Hashing
KAST: Knowledge Aware Adaptive Session Multi-Topic Network for Click-Through Rate Prediction
Personality Matters: User Traits Predict LLM Preferences in Multi-Turn Collaborative Tasks
Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answers
The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities
A Split Semantic Detection Algorithm for Psychological Sandplay Image
Severity Detection Tool for Patients with Infectious Disease
Attention-based Neural Text Segmentation
Outlier-robust Estimation of a Sparse Linear Model Using Invexity
FakeBench: Uncover the Achilles' Heels of Fake Images with Large Multimodal Models
Video Forgery Detection with Optical Flow Residuals and Spatial-Temporal Consistency
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering
A Model-based Chatbot Generation Approach to Converse with Open Data Sources
Generalised Co-Salient Object Detection
E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents
Galois self-orthogonal MDS codes with large dimensions
No projective 16-divisible binary linear code of length 131 exists
Enhancing Diabetic Retinopathy Diagnosis: A Lightweight CNN Architecture for Efficient Exudate Detection in Retinal Fundus Images
Genomics as a Service: a Joint Computing and Networking Perspective
Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning
Generative and Contrastive Graph Representation Learning
Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation
Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods
Integrating Expert Knowledge into Logical Programs via LLMs
AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach
Together, Then Apart: Revisiting Multimodal Survival Analysis via a Min-Max Perspective
A Multi-agent System for Hybrid Optimization
Internal Vulnerabilities, External Threats: A Grounded Framework for Enterprise Open Source Risk Governance
A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
Deep Distributed Random Samplings for Supervised Learning: An Alternative to Random Forests?
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights
Learning Apparent Diffusion Coefficient Maps from Undersampled Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model in Conjunction with a Monoexponential Model
ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling
On the Well-Posedness of Green's Function Reconstruction via the Kirchhoff-Helmholtz Equation for One-Speed Neutron Diffusion
Matrix function-based centrality measures for layer-coupled multiplex networks
Locally Repairable Regenerating Code Constructions
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction
SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding
Tesla meets Helstrom: a Wireless-Powered Quantum Optical System
Quantum Noise-Induced Reservoir Computing
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
Knowledge Migration Framework for Smart Contract Vulnerability Detection
Stochastic Modeling of Filtration with Sieving in Graded Pore Networks
Learning control for polynomial systems using sum of squares
A Survey of Multimedia Technologies and Robust Algorithms
A UAV-Based VNIR Hyperspectral Benchmark Dataset for Landmine and UXO Detection
Verb Categorisation for Hindi Word Problem Solving
Improved MDS-based Algorithm for Nodes Localization in Wireless Sensor Networks
Robustness of Safety for Linear Dynamical Systems: Symbolic and Numerical Approaches
Matrix rigidity and the Croot-Lev-Pach lemma
A New Parallel Adaptive Clustering and its Application to Streaming Data
Learning Deterministic Finite Automata from Confidence Oracles
Soft Two-degree-of-freedom Dielectric Elastomer Position Sensor Exhibiting Linear Behavior
Quickest Intruder Detection for Multiple User Active Authentication
Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering
An adaptive splitting method for the Cox-Ingersoll-Ross process
Purity through Factorisation
Handling Bidirectional Control Flow: Technical Report
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold
Dimensionless formulation and similarity to assess the main phenomena of heat and mass transfer in building porous material
Data Contamination Issues in Brain-to-Text Decoding
Message passing-based joint CFO and channel estimation in millimeter wave systems with one-bit ADCs
Manifold Optimisation Assisted Gaussian Variational Approximation
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
Deep RL Agent for a Real-Time Action Strategy Game
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
Revisiting Simple Regret Minimization in Multi-Armed Bandits
Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
Deriving Escape Analysis by Abstract Interpretation: Proofs of results
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs
Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization
Detection of Stealthy Adversaries for Networked Unmanned Aerial Vehicles
Learning Clusterable Visual Features for Zero-Shot Recognition
GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
Analysis of logics with arithmetic
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning
Uncertainty Quantification Metrics for Deep Regression
New Criteria for MRD and Gabidulin Codes and some Rank-Metric Code Constructions
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model
Ray-Tracing Channel Modeling for LEO Satellite-to-Ground Communication Systems
[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
Scope Logic: Extending Hoare Logic for Pointer Program Verification
A Dynamic Vulnerability Map to Assess the Risk of Road Network Traffic Utilization
New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping
SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation
Prose-to-P4: Leveraging High Level Languages
A finite volume scheme for the local sensing chemotaxis model
ProFuzzBench: A Benchmark for Stateful Protocol Fuzzing
Landslide Geohazard Assessment With Convolutional Neural Networks Using Sentinel-2 Imagery Data
How to obtain lattices from (f, sigma, delta)-codes via a generalization of Construction A
A Real-time Contribution Measurement Method for Participants in Federated Learning
Standardization of work: co-constructed practice
Persian Rhetorical Structure Theory
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes
End-to-End Visual Autonomous Parking via Control-Aided Attention
Exponential Rosenbrock methods without order reduction when integrating nonlinear initial value problems
Protection de la vie privée à base d'agents dans un système d'e-learning
RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
Countability and Number in Japanese-to-English Machine Translation
A Virtual Queue Approach for Online Estimation of Loss Probability Based on MVA Theory
Distributed Multi-sensor Multi-view Fusion based on Generalized Covariance Intersection
KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization
A comparison of rational and neural network based approximations
Truth Without Comprehension: A BlueSky Agenda for Steering the Fourth Mathematical Crisis
Enhancing Adaptivity of Two-Fingered Object Reorientation Using Tactile-based Online Optimization of Deconstructed Actions
Codes and modular curves
Factorizing Lattices by Interval Relations
t 3 -Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
A Simultaneous Decoding Approach to Joint State and Message Communications
C-RAN Zero-Forcing with Imperfect CSI: Analysis and Precode\&Quantize Feedback
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization
Fence Theorem: Towards Dual-Objective Semantic-Structure Isolation in Preprocessing Phase for 3D Anomaly Detection
Sensing Method for Two-Target Detection in Time-Constrained Vector Gaussian Channel
A Toolchain to Design, Execute, and Monitor Robots Behaviors
Multi-level agent-based modeling - Bibliography
Integrable Nonparametric Flows
SSLM: Self-Supervised Learning for Medical Diagnosis from MR Video
One-Layer Transformers are Provably Optimal for In-context Reasoning and Distributional Association Learning in Next-Token Prediction Tasks
Symmetric Determinantal Representations in Characteristic 2
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System
Definite Descriptions in Intuitionist Positive Free Logic
Latent class analysis with weighted responses
Unlocking Excellence: The Impact of Voucher Incentives on Cybersecurity Education
Principles of Physiological Closed-Loop Controllers in Neuromodulation
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks
ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations
Autonomous soft hand grasping - Literature review
Learning to Learn Domain-invariant Parameters for Domain Generalization
Fast Incremental Learning for Off-Road Robot Navigation
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings
Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas
Egocentric Scene-aware Human Trajectory Prediction
Accelerated Assistant to SubOptimum Receiver for Multi Carrier Code Division Multiple Access System
Extremum Seeking Tracking for Derivative-free Distributed Optimization
Algodoo for Online Education: Impulse and Momentum Activities
A note on triangle-free graphs
Higher-order Organization in the Human Brain from Matrix-Based Rényi's Entropy
Leader and Follower: Interactive Motion Generation under Trajectory Constraints
Extremal optimization for sensor report pre-processing
Improving LSH via Tensorized Random Projection
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping
A Fair Method for Distributing Collective Assets in the Stellar Blockchain Financial Network
Dissecting the Segmentation Model of End-to-End Diarization with Vector Clustering
On the optimality of tree-reweighted max-product message-passing
CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
Scalable Density-based Clustering with Random Projections
Dynamic Class Queue for Large Scale Face Recognition In the Wild
Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
The operator approach to entropy games
A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental design
Improving axial resolution in SIM using deep learning
Behind the Scenes: On the Relationship Between Developer Experience and Refactoring
Improved Power-Delay Trade-off in Wireless Networks Using Opportunistic Routing
NREM and REM: cognitive and energetic effects in thalamo-cortical sleeping and awake spiking model
Offline RLHF Methods Need More Accurate Supervision Signals
Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM
Standardizing Interestingness Measures for Association Rules
Enhancing QoE in HTTP/3 using EPS Framework
Unsupervised Single-Channel Audio Separation with Diffusion Source Priors
Human-guided Collaborative Problem Solving: A Natural Language based Framework
A Consistent Lebesgue Measure for Multi-label Learning
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
Switch as a Verifier: Toward Scalable Data Plane Checking via Distributed, On-Device Verification
The Mysterious Optimality of Naive Bayes: Estimation of the Probability in the System of "Classifiers"
RAISE - Radiology AI Safety, an End-to-end lifecycle approach
L 0 Regularization of Field-Aware Factorization Machine through Ising Model
Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Prompting
Continual Unsupervised Out-of-Distribution Detection
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
A Novel Approach to Personalized Personality Assessment with the Attachment-Caregiving Questionnaire (ACQ): First Evidence in favor of AI-Oriented Inventory Designs
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem
AMDS Symbol-Pair Codes from Repeated-Root Cyclic Codes
Perfectly Parallel Fairness Certification of Neural Networks
Decode-forward and Compute-forward Coding Schemes for the Two-Way Relay Channel
Statistical QoS Provisioning for Underwater Magnetic Induction Communication
Standardising the NLP Workflow: A Framework for Reproducible Linguistic Analysis
A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
A systematic review and meta-analysis of interaction models between transportation networks and territories
3D-MAN: 3D Multi-frame Attention Network for Object Detection
On the Fidelity Distribution of Link-level Entanglements under Purification
A Survey on Backup of Data on Remote Server
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)
Discovering the dynamics of \emph{Sargassum} rafts' centers of mass
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation
Structure Learning via Mutual Information
Multi-objective simulation optimization of the adhesive bonding process of materials
Combining checkpointing and data compression for large scale seismic inversion
A Stochastic Operator Approach to Model Inadequacy with Applications to Contaminant Transport
Standardized Evaluation of Fetal Phonocardiography Processing Methods
Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach
Information Theory and Quadrature Rules
Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation
SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment
Revisiting Sub-sampled Newton Methods
Event-based RGB-D sensing with structured light
Energy Sharing for Multiple Sensor Nodes with Finite Buffers
Trevor: Automatic configuration and scaling of stream processing pipelines
ProofFlow: Flow Diagrams for Proofs
End-to-End Learning via a Convolutional Neural Network for Cancer Cell Line Classification
Revisiting Diffusion Q-Learning: From Iterative Denoising to One-Step Action Generation
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching
Many-vs-Many Missile Guidance via Virtual Targets
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving
Recognizing Gender from Human Facial Regions using Genetic Algorithm
Inferring User Interests in Microblogging Social Networks: A Survey
Network Compression: Worst-Case Analysis
Convergence of the tamed-Euler-Maruyama method for SDEs with discontinuous and polynomially growing drift
Stability-certified reinforcement learning: A control-theoretic perspective
Automatic Gradient Boosting
Adversarial training for continuous robustness control problem in power systems
A general framework for defining and optimizing robustness
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T
Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds
MTRESS 3.0 - Modell Template for Residential Energy Supply Systems
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs
The Pseudofinite Monadic Second Order Theory of Linear Order
Inferring perceptual decision making parameters from behavior in production and reproduction tasks
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior
UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images
Differentially Private Tree-Based Redescription Mining