yusuke1997/dblp-id-title huggingface dataset:
Root Cause Localization for Microservice Systems in Cloud-edge Collaborative Environments
The Tessellation Cover Number of Good Tessellable Graphs
Low-Rank Implicit Neural Representation via Schatten-p Quasi-Norm and Jacobian Regularization
Three-terminal Erasure Source-Broadcast with Feedback
QoS Constrained Power Minimization in the MISO Broadcast Channel with Imperfect CSI
Effective Generative AI: The Human-Algorithm Centaur
XGrid-Mapping: Explicit Implicit Hybrid Grid Submaps for Efficient Incremental Neural LiDAR Mapping
Accelerating Error Correction Code Transformers
Graph500 from OCaml-Multicore Perspective
Distributed Second-order Multi-Agent Optimization over unbalanced network without boundedness of gradients
Faster Fixed-Point Methods for Multichain MDPs
Towards Safer and Understandable Driver Intention Prediction
Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models
EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy
Uplink power control in cell-free massive MIMO via deep learning
Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer
Analyzing the Non-Functional Requirements in the Desharnais Dataset for Software Effort Estimation
Automated Mobility Context Detection with Inertial Signals
SIP Shaker: Software Integrity Protection Composition
Model for simulating mechanisms responsible of similarities between people connected in networks of social relations
Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast
TVBench: Redesigning Video-Language Evaluation
Evaluating large language models in medical applications: a survey
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
Hybrid Iterative Solvers with Geometry-Aware Neural Preconditioners for Parametric PDEs
Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models
One-shot Capacity bounds on the Simultaneous Transmission of Classical and Quantum Information
LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Trapped solitary-wave interaction for Euler equations with low pressure region
Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards
SMOTified-GAN for class imbalanced pattern classification problems
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flows
Interference Alignment Designs for Secure Multiuser MIMO Systems: Rank Constrained Rank Minimization Approach
Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching
Integrating Diffusion-based Multi-task Learning with Online Reinforcement Learning for Robust Quadruped Robot Control
Reorganizing Educational Institutional Domain using Faceted Ontological Principles
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples
Dealing with uncertainty in fuzzy inductive reasoning methodology
Physics-informed Gaussian Processes for Safe Envelope Expansion
View-Invariant Template Matching Using Homography Constraints
Space-time 2D Gaussian Splatting for Accurate Surface Reconstruction under Complex Dynamic Scenes
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail
Automated Placement of Analog Integrated Circuits using Priority-based Constructive Heuristic
Optimization of Structural Similarity in Mathematical Imaging
Information theory and Thermodynamics
The C π -calculus: a Model for Confidential Name Passing
SSDOnt: an Ontology for representing Single-Subject Design Studies
FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline
FPGA Random Number Generator
A Survey for Foundation Models in Autonomous Driving
Crowd-sensing commuting patterns using multi-source wireless data: a case of Helsinki commuter trains
Situating AI Agents in their World: Aspective Agentic AI for Dynamic Partially Observable Information Systems
Deterministic Scheduling for Low-latency Wireless Transmissions with Continuous Channel States
TARM: A Turbo-type Algorithm for Affine Rank Minimization
Adaptive Tabu Dropout for Regularization of Deep Neural Network
Efficient Q -Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
Landmark Enhanced Multimodal Graph Learning for Deepfake Video Detection
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems
Neurocognitive and traffic based handover strategies
Semi-Supervised Contrastive Learning with Orthonormal Prototypes
Symbolic Reactive Synthesis for the Safety and EL-fragment of LTL
List covering of regular multigraphs
ContextDet: Temporal Action Detection with Adaptive Context Aggregation
Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning
Deterministic and stochastic analysis of distributed order systems using operational matrix
Lightweight MPI Communicators with Applications to Perfectly Balanced Schizophrenic Quicksort
Estimating Total Search Space Size for Specific Piece Sets in Chess
Inapproximability for metric embeddings into R^d
Estimación y Análisis de Sensibilidad para el Coeficiente de Difusividad en un Problema de Conducción de Calor
Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs
Self-Explained Keywords Empower Large Language Models for Code Generation
A Survey on Password Guessing
Loop unrolling (for test coverage): formal definition
Space-time virtual elements for the heat equation
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
Signaling Games with Costly Monitoring
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation
Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios
Users Approach on Providing Feedback for Smart Home Devices Phase I
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Fair Data Adaptation with Quantile Preservation
Bounding Box Annotation with Visible Status
CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement
National Data Platform's Education Hub
Space-sequential particle filters for high-dimensional dynamical systems described by stochastic differential equations
Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering
Mitigating Object Hallucination via Robust Local Perception Search
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection
MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning
Real-CATS: A Practical Training Ground for Emerging Research on Cryptocurrency Cybercrime Detection
Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Synchronization-Based Cooperative Distributed Model Predictive Control
eccDNAMamba: A Pre-Trained Model for Ultra-Long eccDNA Sequence Analysis
Flow Stochastic Segmentation Networks
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
Tight Lower Bound for Multicolor Discrepancy
ModelFLOWs-app: data-driven post-processing and reduced order modelling tools
Exponentially Improved Dimensionality Reduction for 𝓁 1 : Subspace Embeddings and Independence Testing
Dynamical Analysis of the EIP-1559 Ethereum Fee Market
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Statistical mechanics of budget-constrained auctions
Mixture Policy based Multi-Hop Reasoning over N-tuple Temporal Knowledge Graphs
Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery
A Distributed Process Model of Cryptographic Protocols
ARCeR: an Agentic RAG for the Automated Definition of Cyber Ranges
Dimensions of Transparency in NLP Applications
Energy Stable L2 Schemes for Time-Fractional Phase-Field Equations
IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation
CSI Compression using Channel Charting
The Leiden Ranking 2011/2012: Data collection, indicators, and interpretation
Auditing Approximate Machine Unlearning for Differentially Private Models
Revisiting the double-well problem by deep learning with a hybrid network
Learning quantum Hamiltonians at any temperature in polynomial time with Chebyshev and bit complexity
A betweenness structure entropy of complex networks
Reachability Analysis for Attributes in ABAC with Group Hierarchy
Pose State Perception of Interventional Robot for Cardio-cerebrovascular Procedures
Transition path theory for Langevin dynamics on manifold: optimal control and data-driven solver
Deep Learning Method to Predict Wound Healing Progress Based on Collagen Fibers in Wound Tissue
Bang-Bang Control Of A Tail-less Morphing Wing Flight
Convolutional vs. Recurrent Neural Networks for Audio Source Separation
I-Scene: 3D Instance Models are Implicit Generalizable Spatial Learners
Adversarial Learning with Margin-based Triplet Embedding Regularization
A distributed system perspective on Backscatter systems: A review
Feature Qualification by Deep Nets: A Constructive Approach
Ultra-wideband Time Difference of Arrival Indoor Localization: From Sensor Placement to System Evaluation
OpusAnimation: Code-Based Dynamic Chart Generation
Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches
Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment frm Heterogeneous Rewards
Interpreting Arabic Transformer Models
AI-powered mechanisms as judges: Breaking ties in chess and beyond
Spatial and Frequency Domain Adaptive Fusion Network for Image Deblurring
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection
Optimizing NeRF-based SLAM with Trajectory Smoothness Constraints
Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic Phenomenon
Brand: Managing Training Data with Batched Random Access
Scalable Online Recurrent Learning Using Columnar Neural Networks
Over-the-air Signaling in Cellular Networks: An Overview
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond
Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
A RL-based Policy Optimization Method Guided by Adaptive Stability Certification
PB 2 : Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
Prove Symbolic Regression is NP-hard by Symbol Graph
CAD Tool Design Space Exploration via Bayesian Optimization
A generalized Riemann problem solver for a hyperbolic model of two-layer thin film flow
Hypergraph-of-Entity: A General Model for Entity-Oriented Search
Wavelet-Based Multi-Class Seizure Type Classification System
Evaluating Accessible Synchronous CMC Applications
Using Stochastic Block Models for Community Detection: The issue of edge-connectivity
Dataset Condensation Driven Machine Unlearning
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning
Improving Upon the generalized c-mu rule: a Whittle approach
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks
A new class of superregular matrices and MDP convolutional codes
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions
Building a Learning Database for the Neural Network Retrieval of Sea Surface Salinity from SMOS Brightness Temperatures
Analysis of universal adversarial perturbations
A Brief Discussion on KPI Development in Public Administration
Multi-head Uncertainty Inference for Adversarial Attack Detection
Fast and Accurate Person Re-Identification with RMNet
Geometry Attention Transformer with Position-aware LSTMs for Image Captioning
Efficient computational homogenisation of 2D beams of heterogeneous elasticity using the patch scheme
PoDT: A Secure Multi-chains Consensus Scheme Against Diverse Miners Behaviors Attacks in Blockchain Networks
Some information-theoretic computations related to the distribution of prime numbers
Stability, Generalization and Privacy: Precise Analysis for Random and NTK Features
Quantum Inspired Word Representation and Computation
Characterization and Representation of Weighted Core Inverse of Matrices
Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems
RGANN: An Efficient Algorithm to Extract Rules from ANNs
Inferring Facing Direction from Voice Signals
On the evolution of interaction networks: primitive typology of vertex and prominence of measures
Research on the Application of Large Language Models in Automatic Question Generation: A Case Study of ChatGLM in the Context of High School Information Technology Curriculum
The generalized Hierarchical Gaussian Filter
Optimal Universal Controllers for Rudder Roll Stabilization
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
Fault Matters: Sensor Data Fusion for Detection of Faults using Dempster-Shafer Theory of Evidence in IoT-Based Applications
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery
Med42 - Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Deep Slap Fingerprint Segmentation for Juveniles and Adults
Elevation Beamforming with Full Dimension MIMO Architectures in 5G Systems: A Tutorial
Bringing Reconfigurability to the Network Stack
Accuracy Prediction for NAS Acceleration using Feature Selection and Extrapolation
On Ordinal Covering of Proposals Using Balanced Incomplete Block Designs
Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning
Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
Unsupervised machine-learning shock-capturing technique for high-order solvers
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
A text autoencoder from transformer for fast encoding language representation
A Reference Model for Collaborative Business Intelligence Virtual Assistants
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
Fine-grained wound tissue analysis using deep neural network
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
PretrainZero: Reinforcement Active Pretraining
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference
Triclustering in Big Data Setting
Tensor-based Multi-view Spectral Clustering via Shared Latent Space
Synthesizing Imperative Programs for Introductory Programming Assignments
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering
Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption
It's DONE: Direct ONE-shot learning without training optimization
MIDAS: Modeling Ground-Truth Distributions with Dark Knowledge for Domain Generalized Stereo Matching
A computational test of quantum contextuality, and even simpler proofs of quantumness
Data warehouse on Manpower Employment for Decision Support System
Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey
A Survey of Recent Advancements in Secure Peer-to-Peer Networks
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability
Solving the TTC 2011 Compiler Optimization Task with metatools
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning
MPRAD: A Multiparametric Radiomics Framework
LATIS: Lambda Abstraction-based Thermal Image Super-resolution
SD-SLAM: A Semantic SLAM Approach for Dynamic Scenes Based on LiDAR Point Clouds
Early Cancer Detection in Blood Vessels Using Mobile Nanosensors
Sequence-Adaptive Video Prediction in Continuous Streams using Diffusion Noise Optimization
AI-Empowered Hybrid MIMO Beamforming
Privacy-Aware Joint DNN Model Deployment and Partition Optimization for Delay-Efficient Collaborative Edge Inference
Balanced Judicious Partition is Fixed-Parameter Tractable
A machine learning based heuristic to predict the efficacy of online sale
Temporally Consistent Motion Segmentation from RGB-D Video
Digital Modeling of Massage Techniques and Reproduction by Robotic Arms
Bifurcation: How to Explore a Tree
Beyond Time Complexity: Data Movement Complexity Analysis for Matrix Multiplication
Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method
Recursive algorithms to repair prioritized and inconsistent dl-lite knowledge base
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
Open data hackathon as a tool for increased engagement of Generation Z: to hack or not to hack?
Erratic Extremism causes Dynamic Consensus (a new model for one-dimensional opinion dynamics)
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection
Internet Congestion Control Benchmarking
SD-WAN Threat Landscape
Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks
Measuring Linguistic Diversity During COVID-19
A Hybrid Task-Constrained Motion Planning for Collaborative Robots in Intelligent Remanufacturing
Agriculture-Vision Challenge 2024 - The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
Linking of three triangles in 3-space
Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ
Numerical Approximation of Stochastic Volterra-Fredholm Integral Equation using Walsh Function
Whisper-GPT: A Hybrid Representation Audio Large Language Model
Probabilistic Alias Analysis for Parallel Programming in SSA Forms
Prompt Injection 2.0: Hybrid AI Threats
Deep symbolic regression: Recovering mathematical expressions from data via policy gradients
Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI
Ranking the Importance of Nodes of Complex Networks by the Equivalence Classes Approach
On the Stability of Swarm Consensus Under Noisy Control
Dynamic Process Isolation
New measures for evaluating creativity in scientific publications
Personalizing Emotion-aware Conversational Agents? Exploring User Traits-driven Conversational Strategies for Enhanced Interaction
A Note on Community Trees in Networks
Pairwise Secret Key Agreement based on Location-derived Common Randomness
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
Receiver Placement for Speech Enhancement using Sound Propagation Optimization
Deadline-Constrained Opportunistic Spectrum Access With Spectrum Handoff
CausalDisco: Causal discovery using knowledge graph link prediction
The development of a mapping tool for the evaluation of building systems for future climate scenarios on European scale
A Novel Approach for Computing Dynamic Slices of Aspect-Oriented Programs
TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification
Embodied Biocomputing Sequential Circuits with Data Processing and Storage for Neurons-on-a-chip
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
Towards Explainable and Reliable AI in Finance
Biologically Inspired Design Principles for Scalable, Robust, Adaptive, Decentralized Search and Automated Response (RADAR)
Experimental Evidence for Using a TTM Stages of Change Model in Boosting Progress Toward 2FA Adoption
FlashVSR: Towards Real-Time Diffusion-Based Streaming Video Super-Resolution
Variational Auto-encoder for Recommender Systems with Exploration-Exploitation
CDN-MEDAL: Two-stage Density and Difference Approximation Framework for Motion Analysis
On the Continuity Set of an omega Rational Function
LOCO: A Low-Cost SNU-Self-Resilient Latch Using an Output-Split C-Element
A Comprehensive Performance Evaluation for 3D Transformation Estimation Techniques
A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations
Clustering Embedding Tables, Without First Learning Them
Political Geography and Representation: A Case Study of Districting in Pennsylvania
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation
Infrared Domain Adaptation with Zero-Shot Quantization
A General DoF and Pattern Analyzing Scheme for Electromagnetic Information Theory
Measuring Variable Importance in Individual Treatment Effect Estimation with High Dimensional Data
Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution
Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization
Human-in-the-loop Cueing Strategy for Gait Rehabilitation
From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers
Exact Symbolic Inference in Probabilistic Programs via Sum-Product Representations
A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications
A Vector Fitting approach for the automated estimation of lumped boundary conditions of 1D circulation models
On the notion of polynomial reach: a statistical application
Masked Autoencoders Are Robust Neural Architecture Search Learners
Vulnerability of Clustering under Node Failure in Complex Networks
EMS: 3D Eyebrow Modeling from Single-view Images
Reconstructing Gridded Data from Higher Autocorrelations
What do crowd workers think about creative work?
M 3 D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction
A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM
L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages
Measuring Intrinsic Dimension of Token Embeddings
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
Random Algebraic Graphs and Their Convergence to Erdos-Renyi
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference
Online Learning of Energy Consumption for Navigation of Electric Vehicles
A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data
Ultraspherical Spectral Method for Block Copolymer Systems on Unit Disk
Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer
Two-level overlapping Schwarz preconditioners with universal coarse spaces for 2mth-order elliptic problems
Large Language Models' Varying Accuracy in Recognizing Risk-Promoting and Health-Supporting Sentiments in Public Health Discourse: The Cases of HPV Vaccination and Heated Tobacco Products