yusuke1997/dblp-id-title huggingface dataset:
Hierarchies of Local-Optimality Characterizations in Decoding Tanner Codes
Multi-agent Adaptive Mechanism Design
Information-Geometric Equivalence of Transportation Polytopes
Possibilistic Constraint Satisfaction Problems or "How to handle soft constraints?"
Return Oriented Programming - Exploit Implementation using functions
From Tripods to Bipods: Reducing the Queue Number of Planar Graphs Costs Just One Leg
Developement of Reinforcement Learning based Optimisation Method for Side-Sill Design
True Asymptotic Natural Gradient Optimization
Evaluation of the cumulated impacts on the marine resource of a socio-ecological coral system: approach by agent-based modeling
The Role of Deep Learning in Financial Asset Management: A Systematic Review
RiskLabs: Predicting Financial Risk Using Large Language Model Based on Multi-Sources Data
Extended method for Statistical Signal Characterization using moments and cumulants: Application to recognition of pattern alterations in pulse-like waveforms employing Artificial Neural Networks
Felix: Scaling Inference for Markov Logic with an Operator-based Approach
Stability Analysis of DC Microgrids with Constant Power Load under Distributed Control Method
New Lace and Arsenic: adventures in weak memory with a program logic
BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond
Relational Convolution, Generalised Modalities and Incidence Algebras
Active Learning Halfspaces under Margin Assumptions
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth
On the minimax optimality of Flow Matching through the connection to kernel density estimation
Multilabel Automated Recognition of Emotions Induced Through Music
Self-attention Does Not Need O(n 2 ) Memory
Attention-Driven Reasoning: Unlocking the Potential of Large Language Models
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction
I'm Sorry Dave: How the old world of personnel security can inform the new world of AI insider risk
Continual Few-Shot Learning Using HyperTransformers
FAURAS: A Proxy-based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push
Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity
IGDNet: Zero-Shot Robust Underexposed Image Enhancement via Illumination-Guided and Denoising
RoomDiffusion: A Specialized Diffusion Model in the Interior Design Industry
Computer vision tools for the non-invasive assessment of autism-related behavioral markers
One-shot achievability and converse bounds of Gaussian random coding in AWGN channels under covert constraints
Exploring AR Label Placements in Visually Cluttered Scenarios
PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images
Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models
Intelligent Adaptive Metasurface in Complex Wireless Environments
One-Shot Mutual Covering Lemma and Marton's Inner Bound with a Common Message
A primal finite element scheme of the H(d)∩H(δ) elliptic problem
Dynamic Robustness Verification Against Weak Memory (Extended Version)
Narrative Bridging - a specification of a modelling method for game design
dup -- Explicit un-sharing in Haskell
Online Domination: The Value of Getting to Know All your Neighbors
Diffusion of Innovation In Competitive Markets-A Study on the Global Smartphone Diffusion
Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications
Semantic system for searching of employees
Most, And Least, Compact Spanning Trees of a Graph
Tailor: Size Recommendations for High-End Fashion Marketplaces
Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration
Sensitivity study of ANFIS model parameters to predict the pressure gradient with combined input and outputs hydrodynamics parameters in the bubble column reactor
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging
Empathy in Explanation
A Dual-domain Regularization Method for Ring Artifact Removal of X-ray CT
The Space Complexity of Learning-Unlearning Algorithms
Dynamic Alignment Mask CTC: Improved Mask-CTC with Aligned Cross Entropy
DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction
A class of structured P2P systems supporting browsing
An Auto-tuning Framework for Autonomous Vehicles
Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation
Improving broadcast channel rate using hierarchical modulation
Generalized quantum similarity learning
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
SIFiD: Reassess Summary Factual Inconsistency Detection with LLM
RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation
Corneal endothelium assessment in specular microscopy images with Fuchs' dystrophy via deep regression of signed distance maps
Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative
High-order QMC nonconforming FEMs for nearly incompressible planar stochastic elasticity equations
Bethe Free Energy Approach to LDPC Decoding on Memory Channels
A novel and scalable Multigrid algorithm for many-core architectures
Event-based dataset for the detection and classification of manufacturing assembly tasks
Symbiotic Connectivity: Optimizing Rural Digital Infrastructure with Solar-Powered Mesh Networks Using Multi-Objective Evolutionary Algorithms
Active Measurement: Efficient Estimation at Scale
Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing
HISQ inverter on Intel Xeon Phi and NVIDIA GPUs
Explicit non-free tensors
Sizing up the Batteries: Modelling of Energy-Harvesting Sensor Nodes in a Delay Tolerant Network
Learning from Labeled Features for Document Filtering
Prototype Optimization with Neural ODE for Few-Shot Learning
Similar Handwritten Chinese Character Discrimination by Weakly Supervised Learning
A Systematic Literature Review on Trust in the Software Ecosystem
Universal Online Temporal Calibration for Optimization-based Visual-Inertial Navigation Systems
Massive MIMO over Correlated Fading Channels: Multi-Cell MMSE Processing, Pilot Assignment and Power Control
Spatial search with multiple marked vertices is optimal for almost all queries and its quantum advantage is not always guaranteed
Bandwidth in the Cloud
Learning best K analogies from data distribution for case-based software effort estimation
Generalized Convolution and Efficient Language Recognition
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection
Deep Implicit Optimization for Robust and Flexible Image Registration
Time-Series Contrastive Learning against False Negatives and Class Imbalance
A relation between additive and multiplicative complexity of Boolean functions
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
Adomian Decomposition Based Numerical Scheme for Flow Simulations
Look-Ahead SCOPF (LASCOPF) for Tracking Demand Variation via Auxiliary Proximal Message Passing (APMP) Algorithm
Binary Classification Under 𝓁 0 Attacks for General Noise Distribution
On the reconstruction of bandlimited signals from random samples quantized via noise-shaping
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
Noninterference Analysis of Irreversible or Reversible Systems with Nondeterminism and Probabilities
Perception for Autonomous Systems (PAZ)
Robot Basics: Representation, Rotation and Velocity
Note on Generalized Cuckoo Hashing with a Stash
Societal Adaptation to AI Human-Labor Automation
PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Deep Transformers for Patronizing and Condescending Language Detection
Chinese Typography Transfer
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation
BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysis
Open-Vocabulary Image Segmentation
A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
Revealing Decurve Flows for Generalized Graph Propagation
Smooth Operator - The Use of Smooth Integers in Fast Generation of RSA Keys
Mobile Augmented Reality Applications
Convex Optimization Approaches for Blind Sensor Calibration using Sparsity
DeepThin: A Self-Compressing Library for Deep Neural Networks
High-order finite element methods for nonlinear convection-diffusion equation on time-varying domain
Trusted And Confidential Program Analysis
Provably Secure Retrieval-Augmented Generation
VeriGraph: Scene Graphs for Execution Verifiable Robot Planning
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN
The equivalent identities of the MacWilliams identity for linear codes
CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System
Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes
Improving SCGAN's Similarity Constraint and Learning a Better Disentangled Representation
Q-WordNet PPV: Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages
Interactive High-Performance Visualization for Astronomy and Cosmology
Stochastic Compositional Gradient Descent under Compositional constraints
Live Orchestral Piano, a system for real-time orchestral music generation
The geometry of BERT
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages
Partial Channel Dependence with Channel Masks for Time Series Foundation Models
Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models
Modeling and analysis of a flexible spinning Euler-Bernoulli beam with centrifugal stiffening and softening: A Linear Fractional Representation approach with application to spinning spacecraft
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System
Modeling protoplanetary disk SEDs with artificial neural networks: Revisiting the viscous disk model and updated disk masses
Towards aerodynamic surrogate modeling based on β-variational autoencoders
Self-Learning-Based Optimization for Free-form Pipe Routing in Aeroengine with Dynamic Design Environment
Finding the diameter of a tree with distance queries
A Note on the Asymptotic Optimality of Work-Conserving Disciplines in Completion Time Minimization
Interference Channels with One Cognitive Transmitter
Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records
Team-related Features in Code Review Prediction Models
Autogenic Training With Natural Language Processing Modules: A Recent Tool For Certain Neuro Cognitive Studies
asanAI: In-Browser, No-Code, Offline-First Machine Learning Toolkit
PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering
Deep Cross-Subject Mapping of Neural Activity
Relaxed Sequence Sampling for Diverse Protein Design
Zero field active shielding
Rebound: Efficient, Expressive, and Well-Scoped Binding
Maintaining Stability and Plasticity for Predictive Churn Reduction
SPEED: Secure, PrivatE, and Efficient Deep learning
Asymptotically Regular LDPC Codes with Linear Distance Growth and Thresholds Close to Capacity
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
When Wireless Hierarchical Federated Learning Meets Physical Layer Security: A Finite Blocklength Approach
QuNetSim: A Software Framework for Quantum Networks
Synthesizing Personalized Non-speech Vocalization from Discrete Speech Representations
Serving Large Language Models on Huawei CloudMatrix384
D-algebraic Guessing
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
A universal, operational theory of unicast multi-user communication with fidelity criteria
Packing and covering induced subdivisions
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame
Knowledge vs. Experience: Asymptotic Limits of Impatience in Edge Tenants
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack
An Investigation of Memorization Risk in Healthcare Foundation Models
Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks
To Cluster, or Not to Cluster: An Analysis of Clusterability Methods
Towards Improved Testing For Deep Learning
Sphere Neural-Networks for Rational Reasoning
Analysis of Privacy Policies to Enhance Informed Consent (Extended Version)
Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification
Caveat Venditor, Used USB Drive Owner
Neuroevolving Electronic Dynamical Networks
ECG arrhythmia classification using a 2-D convolutional neural network
"I need to learn better searching tactics for privacy policy laws." Investigating Software Developers' Behavior When Using Sources on Privacy Issues
Collaborative learning of common latent representations in routinely collected multivariate ICU physiological signals
On factorisation forests
Checklists Are Better Than Reward Models For Aligning Language Models
Perfect Codes for Uniform Chains Poset Metrics
IRS: Incremental Relationship-guided Segmentation for Digital Pathology
Database Normalization Debt: A Debt-Aware Approach to Reason about Normalization Decisions in Database Design
Attention based Bidirectional GRU hybrid model for inappropriate content detection in Urdu language
BiasMap: Leveraging Cross-Attentions to Discover and Mitigate Hidden Social Biases in Text-to-Image Generation
J-Parallelio - automatic parallelization framework for Java virtual machine code
Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models
Rethinking Training from Scratch for Object Detection
Binaural rendering from microphone array signals of arbitrary geometry
BUET Multi-disease Heart Sound Dataset: A Comprehensive Auscultation Dataset for Developing Computer-Aided Diagnostic Systems
Gradient-based multi-focus image fusion with focus-aware saliency enhancement
Physics-Informed Deep Operator Control: Controlling chaos in van der Pol oscillating circuits
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators
LLM Benchmarking with LLaMA2: Evaluating Code Development Performance Across Multiple Programming Languages
Approximation of Box Decomposition Algorithm for Fast Hypervolume-Based Multi-Objective Optimization
Central H-spaces and banded types
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Saturated k-Plane Drawings with Few Edges
Encoding Range Minimum Queries
Making Network Configuration Human Friendly
A Minesweeper Solver Using Logic Inference, CSP and Sampling
Measuring what Matters: Construct Validity in Large Language Model Benchmarks
Inference-time Scaling for Diffusion-based Audio Super-resolution
Sub-Pixel Registration of Wavelet-Encoded Images
OmniDexVLG: Learning Dexterous Grasp Generation from Vision Language Model-Guided Grasp Semantics, Taxonomy and Functional Affordance
DoorINet: A Deep-Learning Inertial Framework for Door-Mounted IoT Applications
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning
From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses
Entropy of dynamical social networks
Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation
Even Faster Kernel Matrix Linear Algebra via Density Estimation
Efficient and Stable Algorithms to Extend Greville's Method to Partitioned Matrices Based on Inverse Cholesky Factorization
ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction
A Spiking Neural Learning Classifier System
MiVLA: Towards Generalizable Vision-Language-Action Model with Human-Robot Mutual Imitation Pre-training
Physics-informed Neural Network: The Effect of Reparameterization in Solving Differential Equations
Generative Multi-Agent Q-Learning for Policy Optimization: Decentralized Wireless Networks
Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach
Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs
Beyond Diagonal IRS Aided OFDM: Rate Maximization under Frequency-Dependent Reflection
Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving
Towards Effective Graph Rationalization via Boosting Environment Diversity
Scalable HPC and AI Infrastructure for COVID-19 Therapeutics
Solving of Regular Equations Revisited (extended version)
Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems
Low-dimensional adaptation of diffusion models: Convergence in total variation
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery
VisionGuard: Synergistic Framework for Helmet Violation Detection
Permutation Tests for Infection Graphs
TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks
Maximum-Hands-Off Control and L1 Optimality
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks
ProcData: An R Package for Process Data Analysis
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
LGBP-OrgaNet: Learnable Gaussian Band Pass Fusion of CNN and Transformer Features for Robust Organoid Segmentation and Tracking
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Bias and Fairness in Chatbots: An Overview
Multiple Instance Verification
Large Language Models Can Help Mitigate Barren Plateaus
More basis reduction for linear codes: backward reduction, BKZ, slide reduction, and more
Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encoding
Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach
Python client for Isabelle server
Large Language Model Watermark Stealing With Mixed Integer Programming
Site-specific Deterministic Temperature and Humidity Forecasts with Explainable and Reliable Machine Learning
Parameter-robust full linear convergence and optimal complexity of adaptive iteratively linearized FEM for nonlinear PDEs
Second Degree Model for Multi-Compression and Recovery of Distributed Signals
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security
Counterfactual Explanation Based on Gradual Construction for Deep Networks
A stabilized mixed formulation for unsteady Brinkman equation based on the method of horizontal lines
Value-Aided Conditional Supervised Learning for Offline RL
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Evaluating Software Process Models for Multi-Agent Class-Level Code Generation
Model-Free Source Seeking by a Novel Single-Integrator with Attenuating Oscillations and Better Convergence: Robotic Experiments
Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment
On Uniformly Time-Varying Control Barrier Functions
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks
Health improvement framework for planning actionable treatment process using surrogate Bayesian model
Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
Initial Indications of Safety of Driverless Automated Driving Systems
TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
UIT-OpenViIC: A Novel Benchmark for Evaluating Image Captioning in Vietnamese
Rapid solution for searching similar audio items
UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
Enhancing Programming Pair Workshops: The Case of Teacher Pre-Prompting
Finite Automata Based on Quantum Logic and Their Determinization
An Incremental Boolean Tensor Factorization approach to model Change Patterns of Objects in Images
How to Bypass Verified Boot Security in Chromium OS
Anomaly Detection for Incident Response at Scale
An Artificial Intelligence Framework for Measuring Human Spine Aging Using MRI
Auto-calibrated Wearable System for Load Vertical Location Estimation During Manual Lifting
A Theory of Truncated Inverse Sampling
Maintaining Information in Fully-Dynamic Trees with Top Trees
Zero-Shot Stitching in Reinforcement Learning using Relative Representations
Five-fingered Hand with Wide Range of Thumb Using Combination of Machined Springs and Variable Stiffness Joints
SARCLIP: A Vision Language Foundation Model for Semantic Understanding and Target Recognition in SAR Imagery
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks
Object-Level Reasoning with Logics Encoded in HOL Light
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations
Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering
Diffusion Least Mean P-Power Algorithms for Distributed Estimation in Alpha-Stable Noise Environments
Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations
SFN-YOLO: Towards Free-Range Poultry Detection via Scale-aware Fusion Networks
Key technologies to accelerate the ICT Green evolution - An operator's point of view
FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients
Necessary conditions for feedback stabilization and safety
Live & Local Schema Change: Challenge Problems
Identifying Important Sensory Feedback for Learning Locomotion Skills
Benchmarking foundation models for hyperspectral image classification: Application to cereal crop type mapping
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
Subject reduction in a Curry-style polymorphic type system with a vectorial structure
Contour Detection from Deep Patch-level Boundary Prediction
RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration
Seeing the Forest for the Trees: A Large Scale, Continuously Updating Meta-Analysis of Frontier LLMs
A traditional tree-style tableau for LTL
The Rosario Dataset v2: Multimodal Dataset for Agricultural Robotics
The interplay of fatigue dynamics and task achievement using optimal control predictive simulation