yusuke1997/dblp-id-title huggingface dataset:
Explainable Probabilistic Machine Learning for Predicting Drilling Fluid Loss of Circulation in Marun Oil Field
Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing
A Practical Algorithm with Performance Guarantees for the Art~Gallery Problem
Message-passing for Maximum Weight Independent Set
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
Quantization for uniform distributions on equilateral triangles
SiamVGG: Visual Tracking using Deeper Siamese Networks
Adaptive Time-Domain Harmonic Control for Noise-Vibration-Harshness Reduction of Electric Drives
GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation
Generative Decoding of Compressed CSI for MIMO Precoding Design
On the Expressibility of the Reconstructional Color Refinement
Robust measurement-based buffer overflow probability estimators for QoS provisioning and traffic anomaly prediction applicationm
SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation
Benchmark Problems for Constraint Solving
Motivation, Design, and Ubiquity: A Discussion of Research Ethics and Computer Science
Speeding up the Euler scheme for killed diffusions
Combinatorial Optimization via LLM-driven Iterated Fine-tuning
On Study of the Reliable Fully Convolutional Networks with Tree Arranged Outputs (TAO-FCN) for Handwritten String Recognition
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective
XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning
Information Design in Large Games
Counting Unreachable Single-Side Pawn Diagrams with Limitless Captures
Distance geometry approach for special graph coloring problems
Energy-Aware Data-Driven Model Selection in LLM-Orchestrated AI Systems
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors
Finite Element Complexes with Traces Structures: A unified framework for cohomology and bounded interpolation
Specialized Language Models with Cheap Inference from Limited Domain Data
Timely Monitoring of Dynamic Sources with Observations from Multiple Wireless Sensors
A Survey of Prototype and Experiment for UAV Communications
Real Time Incremental Image Mosaicking Without Use of Any Camera Parameter
Percolation of localized attack on complex networks
Worst-Case Hermite-Korkine-Zolotarev Reduced Lattice Bases
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Analysis of the Reliability of a Biofuel Production Plant from Waste Cooking Oil
AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation
Estimation of Linear Motion in Dense Crowd Videos using Langevin Model
Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters
A structured argumentation framework for detaching conditional obligations
On Rayleigh Quotient Iteration for Dual Quaternion Hermitian Eigenvalue Problem
Unit Edge-Length Rectilinear Drawings with Crossings and Rectangular Faces
Beyond Randomness: Understand the Order of the Noise in Diffusion
Adaptive Rescheduling in Prefill-Decode Disaggregated LLM Inference
Should Young Computer Scientists Stop Collaborating with their Doctoral Advisors?
Tutorial on Implied Posterior Probability for SVMs
A Review of Language and Speech Features for Cognitive-Linguistic Assessment
Understanding Retail Productivity by Simulating Management Practise
Digital competency of educators in the virtual learning environment: a structural equation modeling analysis
Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning
Inverse of a Special Matrix and Application
Image Retrieval with a Bayesian Model of Relevance Feedback
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks
Diamonds in the rough: Transforming SPARCs of imagination into a game concept by leveraging medium sized LLMs
LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks
Strategies for decentralised UAV-based collisions monitoring in rugby
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion
An inverse spectral problem for a damped wave operator
Anytime Stochastic Task and Motion Policies
Efficient Password-Typed Key Agreement Scheme
Convolutional Neural Processes for Inpainting Satellite Images
Almost-linear time parameterized algorithm for rankwidth via dynamic rankwidth
Influence of Pedestrian Collision Warning Systems on Driver Behavior: A Driving Simulator Study
Data-driven nonlinear output regulation via data-enforced incremental passivity
Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Adversarial synthesis based data-augmentation for code-switched spoken language identification
Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits
CoCoFormer: A controllable feature-rich polyphonic music generation method
AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition
DiME and AGVIS A Distributed Messaging Environment and Geographical Visualizer for Large-scale Power System Simulation
SUSTAINABLE Platform: Seamless Smart Farming Integration Towards Agronomy Automation
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation
Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey
Second moment method for a family of boolean CSP
Conceptrol: Concept Control of Zero-shot Personalized Image Generation
Justifying additive-noise-model based causal discovery via algorithmic information theory
Quantitative knowledge retrieval from large language models
Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication
Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection
Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments
Quadratic Transform for Fractional Programming in Signal Processing and Machine Learning
Comparison of two numerical methods for Riemannian cubic polynomials on Stiefel manifolds
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease
Intersections of Web3 and AI - View in 2024
Communication-Efficient Weighted Sampling and Quantile Summary for GBDT
SpatialLock: Precise Spatial Control in Text-to-Image Synthesis
Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams
New non-binary quantum codes from skew constacyclic codes over the ring F p m +v{F p m +v 2 F p m
Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
A Survey on Security Issues in Ad Hoc Routing Protocols and their Mitigation Techniques
Stein Variational Gaussian Processes
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning
A framework for distributed discrete evacuation strategies
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies
Incremental Deep Neural Network Learning using Classification Confidence Thresholding
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety
Easy to Fool? Testing the Anti-evasion Capabilities of PDF Malware Scanners
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
A Novel Graph based Trajectory Predictor with Pseudo Oracle
Automated PolyU Palmprint sample Registration and Coarse Classification
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris
Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design
Differentially Private Convex Optimization with Feasibility Guarantees
Transformation of Communication Processes: Data Journalism
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras
Stratified communities in complex business networks
Beartooth Relay Protocol: Supporting Real-Time Application Streams over LoRa
LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller
City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling
Practical computation of the diffusion MRI signal of realistic neurons based on Laplace eigenfunctions
L 2 -Gain Analysis of Coupled Linear 2D PDEs using Linear PI Inequalities
Z3Guide: A Scalable, Student-Centered, and Extensible Educational Environment for Logic Modeling
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]
Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning
Multi-megabase scale genome interpretation with genetic language models
Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction
SPICE Modeling of Memcomputing Logic Gates
Semantic Perceptual Image Compression using Deep Convolution Networks
A comparative study of two molecular mechanics models based on harmonic potentials
Proof-of-work certificates that can be efficiently computed in the cloud
Street network sub-patterns and travel mode
NeuroPathNet: Dynamic Path Trajectory Learning for Brain Functional Connectivity Analysis
Ergodic Capacity Analysis in Cognitive Radio Systems under Channel Uncertainty
The b-weight distribution for MDS codes
Scaling Up Robust MDPs by Reinforcement Learning
Self-falsifiable Hierarchical Detection of Overlapping Communities On Social Networks
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
Fast Characterization of Segmental Duplications in Genome Assemblies
Automated MPI code generation for scalable finite-difference solvers
ParFORM: recent development
A Note on Contractible Edges in Chordal Graphs
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification
Probing Physics Knowledge Using Tools from Developmental Psychology
A Framework for Scalable Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
Structure and inference in annotated networks
GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation
Revisiting Conventional Task Schedulers to Exploit Asymmetry in ARM big.LITTLE Architectures for Dense Linear Algebra
Viskositas: Viscosity Prediction of Multicomponent Chemical Systems
TextVidBench: A Benchmark for Long Video Scene Text Understanding
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk
Social-Similarity-aware TCP with Collision Avoidance in Ad-hoc Social Networks
Good and asymptotically good quantum codes derived from algebraic geometry codes
Local Differential Privacy for Smart Meter Data Sharing
Machine Learning and Theory Ladenness - A Phenomenological Account
Complexity of colouring problems restricted to unichord-free and \{square, unichord\}-free graphs
Semantic segmentation of multispectral photoacoustic images using deep learning
A Strong Baseline for Temporal Video-Text Alignment
Queueing for ergodic arrivals and services
Dual-Scale Volume Priors with Wasserstein-Based Consistency for Semi-Supervised Medical Image Segmentation
Reach-avoid Verification Based on Convex Optimization
An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation
Compression as a universal principle of animal behavior
ISTHMUS: Secure, Scalable, Real-time and Robust Machine Learning Platform for Healthcare
Design and Realization of Intersection Traffic Control Simulation System Using Connected Vehicle Technology
TweezeEdit: Consistent and Efficient Image Editing with Path Regularization
Fairness-Aware Optimization of Vehicle-to-Vehicle Interaction for Smart EV Charging Coordination
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation
Towards application-specific query processing systems
Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks
Uncertainty-Aware Flow Field Reconstruction Using SVGP Kolmogorov-Arnold Networks
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning
MonoPCNS: Monocular 3D Object Detection via Point Cloud Network Simulation
On a numerical algorithm for computing topological characteristics of three-dimensional bodies
Pose-Guided Human Parsing with Deep Learned Features
Plagiarism deterrence for introductory programming
Legendre transform structure and extremal properties of the relative Fisher information
Improving Generalization of Metric Learning via Listwise Self-distillation
Human Behavioral Models Using Utility Theory and Prospect Theory
Semantic Logical Relations for Timed Message-Passing Protocols (Extended Version)
Adopting Softer Approaches in the Study of Repository Data: A Comparative Analysis
Diversity, Representation, and Accessibility Concerns in Game Development
A heuristic algorithm for the Bin Packing Problem with Conflicts on Interval Graphs
Learning Unified System Representations for Microservice Tail Latency Prediction
Adaptive Restructuring of Merkle and Verkle Trees for Enhanced Blockchain Scalability
Modeling and Simulation of COVID-19 Pandemic for Cincinnati Tri-State Area
Joining the Conversation: Towards Language Acquisition for Ad Hoc Team Play
Rethinking Technology Stack Selection with AI Coding Proficiency
Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay!
Exploring The Visual Feature Space for Multimodal Neural Decoding
Tensor Completion via Gaussian Process Based Initialization
Challenges and Opportunities in Quantum Machine Learning
Multi-directional Safe Rectangle Corridor-Based MPC for Nonholonomic Robots Navigation in Cluttered Environment
Infrastructure Engineering: A Still Missing, Undervalued Role in the Research Ecosystem
Stability of Kalman Filtering with a Random Measurement Equation: Application to Sensor Scheduling with Intermittent Observations
Time-symmetric correlations for open quantum systems
Concept-Oriented Deep Learning
A Lightweight Transformer for Remote Sensing Image Change Captioning
Syntax-based Deep Matching of Short Texts
Cook's Theory and the Twentieth Century Mathematics
InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning
Deriving The Fundamental Equation of Earthmoving and Configuring Vortex Studio Earthmoving Simulation for Soil Property Estimation Experimentation
An Integer Programming Model for Embedding Social Values into Software Requirement Selection
Proceedings First Workshop on Horn Clauses for Verification and Synthesis, HCVS 2014, Vienna, Austria, 17 July 2014
On Convergence of General Truncation-Augmentation Schemes for Approximating Stationary Distributions of Markov Chains
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
Discrete Few-Shot Learning for Pan Privacy
Can ChatGPT advance software testing intelligence? An experience report on metamorphic testing
Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings
Quantum Error Correction Exploiting Degeneracy to Approach the Hashing Bound
Resources for Turkish Natural Language Processing: A critical survey
The Challenge of Quickly Determining the Quality of a Single-Photon Source
Learning to (Learn at Test Time)
An Empirical Study of Bugs in Open-Source Federated Learning Framework
SPIKE: Stable Physics-Informed Kernel Evolution Method for Solving Hyperbolic Conservation Laws
A Mathematics-Guided Approach to Floating-Point Error Detection
Literature Survey on Interplay of Topics, Information Diffusion and Connections on Social Networks
Joint Data-Aided Carrier Frequency Offset, Phase Offset, Amplitude and SNR Estimation for Millimeter-Wave MIMO Systems
Learning to Align Multi-Camera Domain for Unsupervised Video Person Re-Identification
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory
High availability using virtualization
FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use
Data-driven and low-rank implementations of Balanced Singular Perturbation Approximation
Effective Resource Allocation in 5G-Satellite Networks
Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition
A Mesh-free Method Using Piecewise Deep Neural Network for Elliptic Interface Problems
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
LogLog-Beta and More: A New Algorithm for Cardinality Estimation Based on LogLog Counting
Pansori: ASR Corpus Generation from Open Online Video Contents
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo
Physical reservoir computing built by spintronic devices for temporal information processing
Disclosing the network structure of private companies on the web: the case of Spanish IBEX 35 share index
Semantic Decomposition and Selective Context Filtering - Text Processing Techniques for Context-Aware NLP-Based Systems
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning
Child vs. machine language learning: Can the logical structure of human language unleash LLMs?
Fast Arithmetic in Algorithmic Self-Assembly
File Updates Under Random/Arbitrary Insertions And Deletions
Unified Vision and Language Prompt Learning
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression
Comparative Analysis of Word Embeddings for Capturing Word Similarities
Self-Consistency in Vision-Language Models for Precision Agriculture: Multi-Response Consensus for Crop Disease Management
Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation
SFANet: Spatial-Frequency Attention Network for Deepfake Detection
Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling
Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning
Role of single particle motility statistics on efficiency of targeted delivery of micro-robot swarms
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
Retraction maps: A seed of geometric integrators. Part II: Symmetry and reduction
A Guide to Tracking Phylogenies in Parallel and Distributed Agent-based Evolution Models
ethp2psim: Evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the Ethereum network
Quantum Authentication Protocols for GSM
Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
Predicting Human Chess Moves: An AI Assisted Analysis of Chess Games Using Skill-group Specific n-gram Language Models
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR
emucxl: an emulation framework for CXL-based disaggregated memory applications
Hungary and AI: efforts and opportunities in comparison with Singapore
The 'Must Stock' Challenge in Academic Publishing: Pricing Implications of Transformative Agreements
Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System
A better lower bound for Lower-Left Anchored Rectangle Packing
Simulator as a Tool for the Future Maritime Education and Research: A Discussion
Right, No Matter Why: AI Fact-checking and AI Authority in Health-related Inquiry Settings
SLADE: A Self-Training Framework For Distance Metric Learning
Deep Feature Based Contextual Model for Object Detection
ENTRA: Whole-Systems Energy Transparency
The q-Levenberg-Marquardt method for unconstrained nonlinear optimization
Multi-view Pyramid Transformer: Look Coarser to See Broader
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data
Unicorn: Text-Only Data Synthesis for Vision Language Model Training
Metadata-private Messaging without Coordination
MIRIAD: Augmenting LLMs with millions of medical query-response pairs
Performance Evaluation of Ad Hoc Multicast Routing Protocols to Facilitate Video Streaming in VANETS
CSASN: A Multitask Attention-Based Framework for Heterogeneous Thyroid Carcinoma Classification in Ultrasound Images
Interpreting Neural Networks Using Flip Points
A new Hodge operator in Discrete Exterior Calculus. Application to fluid mechanics
Communication-Efficient Distributed Reinforcement Learning
Leveraging OpenFlamingo for Multimodal Embedding Analysis of C2C Car Parts Data
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking
Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses
Training Better Deep Learning Models Using Human Saliency
The Iberian Blackout: A Black Swan or a Gray Rhino? A Thorough Power System Analysis
Heterogeneous message passing for heterogeneous networks
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals
Kinematic analysis of a class of analytic planar 3-RPR parallel manipulators
Baseline Detection in Historical Documents using Convolutional U-Nets
Gathering Teams of Bounded Memory Agents on a Line
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR Data
Fwd2Bot: LVLM Visual Token Compression with Double Forward Bottleneck
Developing trustworthy AI applications with foundation models
Non-Learning based Deep Parallel MRI Reconstruction (NLDpMRI)
The weight distributions of two classes of p ary cyclic codes with few weights
A control-theoretical methodology for the scheduling problem
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
Efficient 3D Placement of a UAV Using Particle Swarm Optimization
Utilizing Weak Supervision To Generate Indonesian Conservation Dataset
DiffusionMat: Alpha Matting as Sequential Refinement Learning
DAPI: Domain Adaptive Toxicity Probe Vector Intervention for Fine-Grained Detoxification
Forced-exploration free Strategies for Unimodal Bandits
Consistent and convergent discretizations of Helfrich-type energies on general meshes
Adversarial Weight Perturbation Improves Generalization in Graph Neural Network
Using simulation to calibrate real data acquisition in veterinary medicine