yusuke1997/dblp-id-title huggingface dataset:
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
A New Nonlinear speaker parameterization algorithm for speaker identification
An Idiotypic Immune Network as a Short Term Learning Architecture for Mobile Robots
Oracle MCG: A first peek into COCO Detection Challenges
Aspects of Muchnik's paradox in restricted betting
Learning to Singulate Objects in Packed Environments using a Dexterous Hand
Relationships between patenting trends and research activity for green energy technologies
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards
On the Information Rates of the Plenoptic Function
Cascaded noise reduction and acoustic echo cancellation based on an extended noise reduction
Expected participation and mentality of smart citizen in smart cities
Balance-Subsampled Stable Prediction
An Optimization-Based Supervised Learning Algorithm for PXRD Phase Fraction Estimation
Best Agent Identification for General Game Playing
EchoShot: Multi-Shot Portrait Video Generation
POMDP-lite for Robust Robot Planning under Uncertainty
Defining and Generating Axial Lines from Street Center Lines for better Understanding of Urban Morphologies
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays
Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representation
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data
On Counting Subring-Subcodes of Free Linear Codes Over Finite Principal Ideal Rings
Balanced Submodular Flows
Human Action Recognition without Human
Boson sampling cannot be faithfully simulated by only the lower-order multi-boson interferences
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation
An Estimation of Distribution Algorithm based on interactions between requirements to solve the bi-objective Next Release Problem
Jolie Good Buildings: Internet of things for smart building infrastructure supporting concurrent apps utilizing distributed microservices
VCA: Video Curious Agent for Long Video Understanding
Probe-Based Interventions for Modifying Agent Behavior
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Sentiment Reasoning for Healthcare
Optimization-Free Diffusion Model - A Perturbation Theory Approach
Représentation de données et métadonnées dans une bibliothèque virtuelle pour une adéquation avec l'usager et les outils de glanage ou moissonnage scientifique
FusionBench: A Comprehensive Benchmark of Deep Model Fusion
Intersection Patterns in Optimal Binary (5, 3) Doubling Subspace Codes
Planning for Muscular and Peripersonal-Space Comfort during Human-Robot Forceful Collaboration
Increasing Compression Ratio in PNG Images by k-Modulus Method for Image Transformation
Constructing Two Edge-Disjoint Hamiltonian Cycles in Locally Twisted Cubes
Technical Report: Distributed Sampling-based Planning for Non-Myopic Active Information Gathering
The Family Tree Graph as a Predictor of the Family Members' Satisfaction with One Another
Textured mesh Quality Assessment using Geometry and Color Field Similarity
Evaluating Large Language Model based Personal Information Extraction and Countermeasures
oViT: An Accurate Second-Order Pruning Framework for Vision Transformers
A differential model of N player games concerning ethical dilemmas
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions
Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics
SGMAGNet: A Baseline Model for 3D Cloud Phase Structure Reconstruction on a New Passive Active Satellite Benchmark
Simultaneous Training of Partially Masked Neural Networks
Leo Breiman, the Rashomon Effect, and the Occam Dilemma
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
High precision computation and a new asymptotic formula for the generalized Stieltjes constants
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
A New Approach for Steady-State Analysis of a Hybrid ac-dc Microgrid
Copyright Protection in Generative AI: A Technical Perspective
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
Numerical Analysis of 2D Stochastic Navier-Stokes Equations with Transport Noise: Regularity and Spatial Semidiscretization
A New Four States High Deflection Low Actuation Voltage Electrostatic Mems Switch for RF Applications
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
CM-Align: Consistency-based Multilingual Alignment for Large Language Models
An efficient peridynamics-based statistical multiscale method for fracture in composite structure with randomly distributed particles
PDE-aware Optimizer for Physics-informed Neural Networks
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
Semantic Similarity in Radiology Reports via LLMs and NER
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
Quantification and Comparison of Network Degree Distributions
Convolution is outer product
Constructive Preference Elicitation over Hybrid Combinatorial Spaces
Continual Imitation Learning for Prosthetic Limbs
Validation of Vector Data using Oblique Images
Loop Programming Practices that Simplify Quicksort Implementations
The HEAL Data Platform
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment
Neural Reflectance Fields for Appearance Acquisition
Model Counting in Product Configuration
PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems
Intelligent Computing: The Latest Advances, Challenges and Future
A Recommender System to Support the Scholarly Communication Process
Attention-Aware Noisy Label Learning for Image Classification
A Gas-Kinetic Scheme for Maxwell Equations
Architecture Agnostic Neural Networks
Numerical Algorithms for Water Waves with Background Flow over Obstacles and Topography
Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
Verification of Quantum Systems using Barrier Certificates
Parameterized Proof Complexity and W[1]
Efficient Intrusion Detection: Combining χ 2 Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
Vision-Based Fuzzy Control System for Smart Walkers: Enhancing Usability for Stroke Survivors with Unilateral Upper Limb Impairments
Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation
Efficient Speech Representation Learning with Low-Bit Quantization
Non-uniform Information Dissemination for Sensor Networks
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling
Infinite Networks, Halting and Local Algorithms
Neural network modeling of data with gaps: method of principal curves Carleman's formula, and other
Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach
Image-Guided Autonomous Guidewire Navigation in Robot-Assisted Endovascular Interventions using Reinforcement Learning
Enabling Quality Control for Entity Resolution: A Human and Machine Cooperative Framework
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
Federated Byzantine Quorum Systems (Extended Version)
Privacy-Preserving Image Retrieval Based on Additive Secret Sharing
CPO: Condition Preference Optimization for Controllable Image Generation
MRAttractor: Detecting Communities from Large-Scale Graphs
Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
Approximating Simplet Frequency Distribution for Simplicial Complexes
The concurrent evolution of cooperation and the population structures that support it
A probabilistic framework for analysing the compositionality of conceptual combinations
Smooth Pycnophylactic Interpolation Produced by Density-Equalising Map Projections
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues
Beyond cost reduction: Improving the value of energy storage in electricity systems
Régularisation et optimisation pour l'imagerie sismique des fondations de pylônes
Reconstructing the local density field with combined convolutional and point cloud architecture
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
Showing invariance compositionally for a process algebra for network protocols
Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
A real world network pricing game with less severe Braess' Paradox
Efficient Algorithms for Multidimensional Segmented Regression
Federated Learning of Causal Effects from Incomplete Observational Data
MSTIM: A MindSpore-Based Model for Traffic Flow Prediction
Fast Sampling generative model for Ultrasound image reconstruction
A Switching Strategy for Event-Trigger Control of Spacecraft Rendezvous
About the Discriminant Power of the Subgraph Centrality and Other Centrality Measures About the Discriminant Power of the Subgraph Centrality and Other Centrality Measures (Working paper)
On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks
Stochastic Galerkin finite volume shallow flow model: well-balanced treatment over uncertain topography
Online Video Super-Resolution with Convolutional Kernel Bypass Graft
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities
Least Squares Optimization: from Theory to Practice
An evolving surface finite element method for the Cahn-Hilliard equation with a logarithmic potential
Cryogenic quasi-static embedded DRAM for energy-efficient compute-in-memory applications
Tracking and Quantifying Censorship on a Chinese Microblogging Site
MultiGain: A controller synthesis tool for MDPs with multiple mean-payoff objectives
MICo: Learning improved representations via sampling-based state similarity for Markov decision processes
Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring
A Note On Estimating the Spectral Norm of A Matrix Efficiently
Revisiting multi-GNSS Navigation for UAVs - An Equivariant Filtering Approach
Mix-modal Federated Learning for MRI Image Segmentation
xRAI: Explainable Representations through AI
GenExam: A Multidisciplinary Text-to-Image Exam
Image Enhancement Network Trained by Using HDR images
Proceedings of the 5th International Conference on Collaborative Innovation Networks COINs15, Tokyo, Japan March 12-14, 2015
MONARC Simulation Framework
Disagreement-based combinatorial pure exploration: Efficient algorithms and an analysis with localization
Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing
Computing Socially-Efficient Cake Divisions
Development and Validation of Engagement and Rapport Scales for Evaluating User Experience in Multimodal Dialogue Systems
QiMeng: Fully Automated Hardware and Software Design for Processor Chip
Online Algorithms for Constructing Linear-size Suffix Trie
End-to-End Learning to Grasp from Object Point Clouds
An Efficient Multiplication Algorithm Using Nikhilam Method
EDocNet: Efficient Datasheet Layout Analysis Based on Focus and Global Knowledge Distillation
Social Media Information Operations
Conditional probability calculation using restricted Boltzmann machine with application to system identification
A Personalized Affective Memory Neural Model for Improving Emotion Recognition
Curly Flow Matching for Learning Non-gradient Field Dynamics
Hierarchical approach to classify food scenes in egocentric photo-streams
Attention based Writer Independent Handwriting Verification
Open-Source Skull Reconstruction with MONAI
A new harmonium for pattern recognition in survival data
Show Me Your Face, And I'll Tell You How You Speak
Effective Decoding in Graph Auto-Encoder using Triadic Closure
Karush-Kuhn-Tucker conditions to build efficient contractors; Application to TDoA localization
A New Theory for Sketching in Linear Regression
DREAM: Visual Decoding from Reversing Human Visual System
SAR-NAS: Skeleton-based Action Recognition via Neural Architecture Searching
Design and Experimental Evaluation of Algorithms for Optimizing the Throughput of Dispersed Computing
Partially Observable Reference Policy Programming: Solving POMDPs Sans Numerical Optimisation
A Fast Incremental Archive for Multi-objective Optimization
Formal modeling and performance evaluation for hybrid systems: a probabilistic hybrid process algebra-based approach
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain
Learning to Act and Observe in Partially Observable Domains
What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control
Report on the 2019 Workshop on Smart Farming and Data Analytics (SFDAI)
Disentangling in Variational Autoencoders with Natural Clustering
3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI
Proxy Control Barrier Functions: Integrating Barrier-Based and Lyapunov-Based Safety-Critical Control Design
A quantum computer network
Proof-theoretic Semantics for Classical Propositional Logic with Assertion and Denial
Performance Assessment of ChatGPT vs Bard in Detecting Alzheimer's Dementia
Automatic Debiased Machine Learning for Dynamic Treatment Effects
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Robust Private Information Retrieval on Coded Data
Challenges in Mixed Reality in Assisting Adults with ADHD Symptoms
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
Research of the Robot's Learning Effectiveness in the Changing Environment
CMOMgen: Complex Multi-Ontology Alignment via Pattern-Guided In-Context Learning
On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure
Program Synthesis for Robot Learning from Demonstrations
Applying Domain Randomization to Synthetic Data for Object Category Detection
Revisiting Backdoor Attacks against Large Vision-Language Models
UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
Censored Quantile Regression Forests
Mining Privacy-Preserving Association Rules based on Parallel Processing in Cloud Computing
From EGEE OPerations Portal towards EGI OPerations Portal
Distributed AC-DC Optimal Power Flow in the European Transmission Grid with ADMM
Fully scalable online-preprocessing algorithm for short oligonucleotide microarray atlases
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Three-Element Min-Sol and Conservative Min-Cost-Hom
Decentralized, Adaptive, Look-Ahead Particle Filtering
Distributed Tera-Scale Similarity Search with MPI: Provably Efficient Similarity Search over billions without a Single Distance Computation
How Bandwidth Affects the CONGEST Model
Opposites Attract: Virtual Cluster Embedding for Profit
How (Not) to Shoot in Your Foot with SDN Local Fast Failover: A Load-Connectivity Tradeoff
Coupled Evolutionary Behavioral and Disease Dynamics under Reinfection Risk
Faster Verified Explanations for Neural Networks
The ETKidney simulator: a discrete event simulator to assess the impact of alternative kidney allocation rules in Eurotransplant
Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain
Three lines proof of the lower bound for the matrix rigidity
Improving Energy Efficiency of MPTCP for Mobile Devices
Multigrid-reduction-in-time for Eddy Current problems
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
Can inferred provenance and its visualisation be used to detect erroneous annotation? A case study using UniProtKB
Reactive Sensing and Multiplicative Frame Super-resolution
Sequential QCQP for Bilevel Optimization with Line Search
Shifting Long-Context LLMs Research from Input to Output
Obtaining (ε,δ)-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables
Estimating the State of AC Power Systems using Semidefinite Programming
Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
Impact of Data Pruning on Machine Learning Algorithm Performance
Reducing Network Traffic in Unstructured P2P Systems Using Top-k Queries
Lecture Note on LCSSX's Lower Bounds for Non-Adaptive Distribution-free Property Testing
Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models
Low-Complexity Linear Equalizers for OTFS Exploiting Two-Dimensional Fast Fourier Transform
Fiedler vector analysis for particular cases of connected graphs
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
The em-convex rewrite system
From Air to Wear: Personalized 3D Digital Fashion with AR/VR Immersive 3D Sketching
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss
Finding Patterns in Visualized Data by Adding Redundant Visual Information
Fast Jet Tagging with MLP-Mixers on FPGAs
Field-Based Toolpath Generation for 3D Printing Continuous Fibre Reinforced Thermoplastic Composites
Concept-based indexing in text information retrieval
Distributed System Identification with ADMM
Nashian game theory is incompatible with quantum contextuality
Knowledge Engineering Within A Generalized Bayesian Framework
Born Again Neural Rankers
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II
Shared Multi-modal Embedding Space for Face-Voice Association
MobileAgent: enhancing mobile control via human-machine interaction and SOP integration
Query complexity of sampling and small geometric partitions
Tree-based Learning for High-Fidelity Prediction of Chaos
Estimation of posture and joint angle of human body using foot pressure distribution: Morphological computation with human foot
Cross-Modal Retrieval with Implicit Concept Association
Hacking Nonverbal Communication Between Pedestrians and Vehicles in Virtual Reality
Curious Causality-Seeking Agents Learn Meta Causal World
EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models
eBear: An Expressive Bear-Like Robot
Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling
A contrastive-learning approach for auditory attention detection
Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA)
Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning
PLHF: Prompt Optimization with Few-Shot Human Feedback
Using HistCite software to identify significant articles in subject searches of the Web of Science
CMOS-Memristor Dendrite Threshold Circuits
A Secure Distributed Authentication scheme based on CRT-VSS and Trusted Computing in MANET
Logic Synthesis with Generative Deep Neural Networks
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System
LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models
Physical Integrity Attack Detection of Surveillance Camera with Deep Learning Based Video Frame Interpolation
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges
LLM-Prior: A Framework for Knowledge-Driven Prior Elicitation and Aggregation
FrAug: Frequency Domain Augmentation for Time Series Forecasting
Bayesian Sketch Learning for Program Synthesis
KI-Bilder und die Widerständigkeit der Medienkonvergenz: Von primärer zu sekundärer Intermedialität?
Capacity and Coverage Enhancement Using Long-Endurance Tethered Airborne Base Stations
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE
Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems
A Lower Bound on the Capacity of Wireless Erasure Networks with Random Node Locations
Optimal Service Placement, Request Routing and CPU Sizing in Cooperative Mobile Edge Computing Networks for Delay-Sensitive Applications
Colormap-Enhanced Vision Transformers for MRI-Based Multiclass (4-Class) Alzheimer's Disease Classification
Continuous and Orientation-preserving Correspondences via Functional Maps
Optimisation of a Crossdocking Distribution Centre Simulation Model
Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations
Coding for Sunflowers
Privacy for Personal Neuroinformatics
Resource Management and Admission Control for Tactile Internet in Next Generation of RAN
Presentation an Approach for Optimization of Semantic Web Language Based on the Document Structure
Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning
Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection
Dictionary learning based image enhancement for rarity detection
Recurrent Localization Networks applied to the Lippmann-Schwinger Equation
ARENA: Towards Informative Alternative Query Plan Selection for Database Education
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis
Pushing the Envelope of LLM Inference on AI-PC
Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval
Common Subexpression-based Compression and Multiplication of Sparse Constant Matrices
Cognitive Semantic Augmentation LEO Satellite Networks for Earth Observation
Esophageal virtual disease landscape using mechanics-informed machine learning
Fully Homomorphic Encryption Scheme with Symmetric Keys
An Entropy Stable Formulation of Two-equation Turbulence Models with Particular Reference to the k-epsilon Model
Towards Multi-Subsession Conversational Recommendation
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection
Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks
STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Benchmarking OpenAI o1 in Cyber Security
Non-intrusive reduced order models for partitioned fluid-structure interactions
Coherent-Classical Estimation for Linear Quantum Systems
GreenPlanner: Practical Floorplan Layout Generation via an Energy-Aware and Function-Feasible Generative Framework
MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification