yusuke1997/dblp-id-title huggingface dataset:
Optimizing Post-Cancer Treatment Prognosis: A Study of Machine Learning and Ensemble Techniques
Constrained Generalized Delaunay Graphs Are Plane Spanners
Multi-Programming Language Ensemble for Code Generation in Large Language Model
Diffusion-VLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
Multilevel Motion Planning: A Fiber Bundle Formulation
Info-Evo: Using Information Geometry to Guide Evolutionary Program Learning
Graph Representation Learning: A Survey
Bayesian Neural Networks with Domain Knowledge Priors
Consistent Estimators for Nonlinear Vessel Models
Exploring polymer classification with a hybrid single-photon quantum approach
Degrees of Freedom in Wireless Interference Networks with Cooperative Transmission and Backhaul Load Constraints
Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior
Analysis of a new chaotic system, electronic realization and use in navigation of differential drive mobile robot
Strategies for Generating Micro Explanations for Bayesian Belief Networks
Self-Training of Halfspaces with Generalization Guarantees under Massart Mislabeling Noise Model
Data Processing and Annotation Schemes for FinCausal Shared Task
Learning rate adaptive stochastic gradient descent optimization methods: numerical simulations for deep learning methods for partial differential equations and convergence analyses
CAPMix: Robust Time Series Anomaly Detection Based on Abnormal Assumptions with Dual-Space Mixup
On the sampling Lovász Local Lemma for atomic constraint satisfaction problems
Simulating Dispute Mediation with LLM-Based Agents for Legal Research
CISE3: Verifying Weakly Consistent Applications with Why3
MOVESTAR: An Open-Source Vehicle Fuel and Emission Model based on USEPA MOVES
A Deep Q-Network for the Beer Game with Partial Information
The emergence of the physical world from information processing
Operator-valued formulas for Riemannian Gradient and Hessian and families of tractable metrics in optimization and machine learning
From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?
Convexity of Mutual Information along the Fokker-Planck Flow
Multivariate Time Series Anomaly Detection using DiffGAN Model
AI-in-the-Loop - The impact of HMI in AI-based Application
Assessing System Agreement and Instance Difficulty in the Lexical Sample Tasks of Senseval-2
Singular-limit analysis of gradient descent with noise injection
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
Feature Selection Methods for Cost-Constrained Classification in Random Forests
L p Isotonic Regression Algorithms Using an L 0 Approach
Dynamics of the N-fold Pendulum in the framework of Lie Group Integrators
BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
Consistency Evaluation of News Article Summaries Generated by Large (and Small) Language Models
Two-way Linear Probing Revisited
Crossing lemmas for k-systems of arcs
Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments
Strong data processing inequalities and $Φ$-Sobolev inequalities for discrete channels
Fast ECoT: Efficient Embodied Chain-of-Thought via Thoughts Reuse
Preserving Domain Private Representation via Mutual Information Maximization
YuE: Scaling Open Foundation Models for Long-Form Music Generation
Delay versus Stickiness Violation Trade-offs for Load Balancing in Large-Scale Data Centers
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone
Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries
Learning and Inference on Generative Adversarial Quantum Circuits
Large Language Model Unlearning for Source Code
State/event based versus purely Action or State based Logics
StreamBlocks: A compiler for heterogeneous dataflow computing (technical report)
Viewpoint Invariant Object Detector
DGS-SLAM: Gaussian Splatting SLAM in Dynamic Environment
Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search
Proposition d'une technique de gestion de projet dans les startups
MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning
Multi Relational Data Mining Approaches: A Data Mining Technique
Delocalized Photonic Deep Learning on the Internet's Edge
Enhancing Test Efficiency through Automated ATPG-Aware Lightweight Scan Instrumentation
Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?
Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders
Program Synthesis using Conflict-Driven Learning
A Machine Learning Framework for Biometric Authentication using Electrocardiogram
Co-Scale Cross-Attentional Transformer for Rearrangement Target Detection
Touch-based object localization in cluttered environments
Advantages of Global Entanglement-Distillation Policies in Quantum Repeater Chains
On The Direct Maximization of Quadratic Weighted Kappa
Modularity and Mutual Information in Networks: Two Sides of the Same Coin
Crowds on Wall Street: Extracting Value from Social Investing Platforms
$G^{k, l}$-constrained multi-degree reduction of Bézier curves
Institutional Books 1.0: A 242B token dataset from Harvard Library's collections, refined for accuracy and usability
Scientometric engineering: Revealing spatiotemporal citation dynamics via open eprints
Automatic Building Code Review: A Case Study
Retraction of Soft Growing Robots without Buckling
Deseeding Energy Consumption of Network Stacks
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training
Estimating properties of a homogeneous bounded soil using machine learning models
Attribute oriented induction with star schema
"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming
Convex optimization
Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target Detection
Simulated Car Racing Championship: Competition Software Manual
Layer-wise training for self-supervised learning on graphs
Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
Convolutions with Radio-Frequency Spin-Diodes
Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
B2F: End-to-End Body-to-Face Motion Generation with Style Reference
Data-driven Balanced Truncation for Predictive Model Order Reduction of Aeroacoustic Response
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Class-independent sequential full image segmentation, using a convolutional net that finds a segment within an attention region, given a pointer pixel within this segment
Scalable Data Assimilation with Message Passing
Lower bounds for finding the maximum and minimum elements with k lies
Single-Channel Speech Dereverberation using Subband Network with A Reverberation Time Shortening Target
Noisy decoding by shallow circuits with parities: classical and quantum
Robust and Dexterous Dual-arm Tele-Cooperation using Fractal Impedance Control
An Expert-grounded benchmark of General Purpose LLMs in LCA
Psychophysical evaluation of individual low-level feature influences on visual attention
Disaster Tweets Classification using BERT-Based Language Model
Automatic brain tumor segmentation in 2D intra-operative ultrasound images using MRI tumor annotations
Optimizing Revenue while showing Relevant Assortments at Scale
A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA
Work-From-Home is Here to Stay: Call for Flexibility in Post-Pandemic Work Policies
Absher: A Benchmark for Evaluating Large Language Models Understanding of Saudi Dialects
Self Rewarding Self Improving
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions
Robust Interference Management for SISO Systems with Multiple Over-the-Air Computations
Optimal Strategies for Matching and Retrieval Problems by Comparing Covariates
Performance Analysis and Optimal Node-Aware Communication for Enlarged Conjugate Gradient Methods
Learning Task Agnostic Sufficiently Accurate Models
Contrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification
Community detection in directed acyclic graphs
A Polyhedral Study for the Cubic Formulation of the Unconstrained Traveling Tournament Problem
Modelling reliability of reversible circuits with 2D second-order cellular automata
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method
Subgraph Networks with Application to Structural Feature Space Expansion
Source Attribution in Retrieval-Augmented Generation
CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network
Inter-Satellite Link Configuration for Fast Delivery in Low-Earth-Orbit Constellations
System description: Isabelle/jEdit in 2014
Recreation of the Periodic Table with an Unsupervised Machine Learning Algorithm
Efficiently Finding Simple Schedules in Gaussian Half-Duplex Relay Line Networks
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
Efficient Tensor Kernel methods for sparse regression
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Quantifying the relationship between student enrollment patterns and student performance
RankMerging: Learning-to-rank in large-scale social networks (extended version)
Impact of COVID-19 on Mobility and Electric Vehicle Charging Load
How Many Political Parties Should Brazil Have? A Data-driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems
Relational Thematic Clustering with Mutually Preferred Neighbors
SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing
Learning an Interpretable Graph Structure in Multi-Task Learning
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect
Music, Complexity, Information
Network Contagion in Financial Labor Markets: Predicting Turnover in Hong Kong
Equivariant Neural Networks for Spin Dynamics Simulations of Itinerant Magnets
Genetic Programming for Multibiometrics
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
NEUBORN: The Neurodevelopmental Evolution framework Using BiOmechanical RemodelliNg
Multicell Power Control under Rate Constraints with Deep Learning
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation
A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling
A Clustering-based Location Privacy Protection Scheme for Pervasive Computing
Random Client Selection on Contrastive Federated Learning for Tabular Data
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization
Cellular Automata get their Wires Crossed
Fast In-Spectrum Graph Watermarks
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Distortion-Aware Brushing for Interactive Cluster Analysis in Multidimensional Projections
Adaptive Online Multi-modal Hashing via Hadamard Matrix
Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
An Auto-Generated Geometry-Based Discrete Finite Element Model for Damage Evolution in Composite Laminates with Arbitrary Stacking Sequence
Leveraging Large Language Models for Multi-Class and Multi-Label Detection of Drug Use and Overdose Symptoms on Social Media
EgoCHARM: Resource-Efficient Hierarchical Activity Recognition using an Egocentric IMU Sensor
Feedback Graph Convolutional Network for Skeleton-based Action Recognition
Applying Graph Explanation to Operator Fusion
A hybrid discontinuous Galerkin method for transport equations on networks
Adaptive approximation of monotone functions
Machine Learning and the Traveling Repairman
Towards Rotation-only Imaging Geometry: Rotation Estimation
Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization
"I'm Petting the Laptop, Which Has You Inside It": Reflecting on Lived Experiences of Online Friendship
Completely Heterogeneous Federated Learning
On price-induced minmax matchings
Handwritten Text Recognition Using Convolutional Neural Network
Combining Cost-Sensitive Classification with Negative Selection for Protein Function Prediction
Intriguing generalization and simplicity of adversarially trained neural networks
Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion
MVPainter: Accurate and Detailed 3D Texture Generation via Multi-View Diffusion with Geometric Control
Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation
OFDM based Sparse Time Dispersive Channel Estimation with Additional Spectral Knowledge
Towards Computational Awareness in Autonomous Robots: An Empirical Study of Computational Kernels
Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty
Exponential decay of the discrete energy for the wave-wave coupled system
Small, Versatile and Mighty: A Range-View Perception Framework
A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle
Probabilistically Safe Vehicle Control in a Hostile Environment
RF Propagation Analysis of MICAz Motes Antenna with Ground Effect
Larger Hausdorff Dimension in Scanning Pattern Facilitates Mamba-Based Methods in Low-Light Image Enhancement
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research
Bridging the Educational Gap between Emerging and Established Scientific Computing Disciplines
Consistent Dynamic Server Assignment in Content Delivery Network
What are Foundation Models Cooking in the Post-Soviet World?
Out-of-Distribution Detection using BiGAN and MDL
Synthetic Text Generation using Hypergraph Representations
Spatiotemporal Impact of Hurricanes on a Power Grid
Resilience assessment framework for cyber-physical distribution power system based on coordinated cyber-physical attacks under dynamic game
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?
The Language Features and Architecture of B-Prolog
Deep Voice 3: 2000-Speaker Neural Text-to-Speech
From Code to Courtroom: LLMs as the New Software Judges
Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
Parallelizing Bisection Root-Finding: A Case for Accelerating Serial Algorithms in Multicore Substrates
Power Ramp-Rate Control via Power Regulation for Storageless Grid-Connected Photovoltaic Systems
Trajectory Prediction Meets Large Language Models: A Survey
3DHumanGAN: Towards Photo-Realistic 3D-Aware Human Image Generation
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
Text Prompt Injection of Vision Language Models
Advancing Hardware Security Using Polymorphic and Stochastic Spin-Hall Effect Devices
Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology
On Corrigibility and Alignment in Multi Agent Games
Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning
Co-clustering based exploratory analysis of mixed-type data tables
On the relation between structured d-DNNFs and SDDs
Pose Metrics: a New Paradigm for Character Motion Edition
A Snapshot into the Possibility of Video Game Machine Translation
RoIFusion: 3D Object Detection from LiDAR and Vision
A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling
Conformal marked bisection for local refinement of n-dimensional unstructured simplicial meshes
Operator-splitting schemes for degenerate conservative-dissipative systems
eTutor: Online Learning for Personalized Education
Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning
The Value of Information in Multi-Scale Feedback Systems
A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+)
Categorical generalization of spectral decomposition
Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests
Data-Driven Control of Large-Scale Networks with Formal Guarantees: A Small-Gain Free Approach
APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents
Secure Information Embedding in Images with Hybrid Firefly Algorithm
Path and trajectory planning of a tethered UAV-UGV marsupial robotic system
The Pantelides algorithm for delay differential-algebraic equations
On sampling SCJ rearrangement scenarios
Web Video Categorization based on Wikipedia Categories and Content-Duplicated Open Resources
From Manual Android Tests to Automated and Platform Independent Test Scripts
Analyzing Behaviors of Mixed Traffic via Reinforcement Learning at Unsignalized Intersections
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning
Hierarchical Range Sectoring and Bidirectional Link Quality Estimation for On-demand Collections in WSNs
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
Data class-specific all-optical transformations and encryption
Dolha - an Efficient and Exact Data Structure for Streaming Graphs
MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning
Development of FEB Configuration Test Board for ATLAS NSW Upgrade
Strategic Filtering for Content Moderation: Free Speech or Free of Distortion?
Diverse Perspectives on AI: Examining People's Acceptability and Reasoning of Possible AI Use Cases
Recent violent political extremist events in Brazil and epidemic modeling: The role of a SIS-like model on the understanding of spreading and control of radicalism
How to realize "a sense of humour" in computers ?
Sunflowers and Ramsey problems for restricted intersections
Risk Structures: Towards Engineering Risk-aware Autonomous Systems
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning
The Indispensable Role of User Simulation in the Pursuit of AGI
Towards Smart Networking with SDN Enabled IPv6 Network
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping
On the Griesmer Bound for Systematic Codes
The robust-yet-fragile nature of interdependent networks
Performance Analysis of RIS-aided MISO Systems with EMI and Channel Aging
Finite element conformal complexes in three dimensions
Mechatronic Design, Dynamic Modeling, and Real-Time Control of a Movable Scaffold
Semi-supervised dictionary learning with graph regularization and active points
Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
Action parsing using context features
Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures
VR interaction for efficient virtual manufacturing: mini map for multi-user VR navigation platform
Decentralized State Estimation via a Hybrid of Consensus and Covariance intersection
Compressive sensing: a paradigm shift in signal processing
Unsupervised Domain Adaptation using Regularized Hyper-graph Matching
KubeDSM: A Kubernetes-based Dynamic Scheduling and Migration Framework for Cloud-Assisted Edge Clusters
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm
Channel Modeling Aided Dataset Generation for AI-Enabled CSI Feedback: Advances, Challenges, and Solutions
Using Synthetic Audio to Improve The Recognition of Out-Of-Vocabulary Words in End-To-End ASR Systems
ADC Bit Allocation under a Power Constraint for MmWave Massive MIMO Communication Receivers
Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark
Spreadsheet End-User Behaviour Analysis
From Requirements to code: an Architecture-centric Approach for producing Quality Systems
Benevolent Dictators? On LLM Agent Behavior in Dictator Games
Semi-Infinite Programs for Robust Control and Optimization: Efficient Solutions and Extensions to Existence Constraints
Interaction-Driven Browsing: A Human-in-the-Loop Conceptual Framework Informed by Human Web Browsing for Browser-Using Agents
Method to Classify Skin Lesions using Dermoscopic images
Runtime Verification for Business Processes Utilizing the Bitcoin Blockchain
The Stochastic Boolean Function Evaluation Problem for Symmetric Boolean Functions
Human trajectory prediction using LSTM with Attention mechanism
Monitoring Mobile and Spatially Distributed Cyber-Physical Systems
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers
Epimorphisms and Acyclic Types in Univalent Mathematics
Drawing a Rooted Tree as a Rooted y-Monotone Minimum Spanning Tree
Stochastic Siamese MAE Pretraining for Longitudinal Medical Images
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
An Efficient Local Approach to Convexity Testing of Piecewise-Linear Hypersurfaces
Self Configuration in Machine Learning
Delay-Dependent Output-Feedback Control for Blood Pressure Regulation Using LPV Techniques
A Multi-Agent, Laxity-Based Aggregation Strategy for Cost-Effective Electric Vehicle Charging and Local Transformer Overload Prevention
Approximation errors of online sparsification criteria
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality
Evaluating the effects of reducing voltage margins for energy-efficient operation of MPSoCs
Proactive Resource Allocation with Predictable Channel Statistics
PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning
earEOG via Periauricular Electrodes to Facilitate Eye Tracking in a Natural Headphone Form Factor
Political Issue or Public Health: the Vaccination Debate on Twitter in Europe
Quantum Suplattices
MT2ST: Adaptive Multi-Task to Single-Task Learning
Content-Aware Convolutional Neural Networks
Robust Beamforming for Secure Communication in Systems with Wireless Information and Power Transfer
Good-case and Bad-case Latency of Unauthenticated Byzantine Broadcast: A Complete Categorization
Marriage Matching-based Instant Parking Spot Sharing in Internet of Vehicles
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
SideRand: A Heuristic and Prototype of a Side-Channel-Based Cryptographically Secure Random Seeder Designed to Be Platform- and Architecture-Agnostic
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering
A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects
Age of Information Analysis for CR-NOMA Aided Uplink Systems with Randomly Arrived Packets
Tangram: A Challenging Benchmark for Geometric Element Recognizing
Community Detection from Location-Tagged Networks
Optimal Quantum Circuit Design via Unitary Neural Networks
An algebraic analysis of the graph modularity
A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification
GF-Flush: A GF(2) Algebraic Attack on Secure Scan Chains
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems
The optimality of syntactic dependency distances