yusuke1997/dblp-id-title huggingface dataset:
Enforcing exact boundary and initial conditions in the deep mixed residual method
Dynamic Layered Decoding Scheduling for LDPC Codes Aided by Check Node Error Probabilities
End-to-end optimized image compression for multiple machine tasks
Diversity-Incentivized Exploration for Versatile Reasoning
Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation
Transformed Multi-view 3D Shape Features with Contrastive Learning
BooVAE: A scalable framework for continual VAE learning under boosting approach
Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers
Heuristic Satisficing Inferential Decision Making in Human and Robot Active Perception
Opinion diversity and community formation in adaptive networks
Asymptotic-preserving approximations for stochastic incompressible viscous fluids and SPDEs on graph
Wavelet-based Edge Multiscale Finite Element Methods for Singularly Perturbed Convection-Diffusion Equations
InvBERT: Text Reconstruction from Contextualized Embeddings used for Derived Text Formats of Literary Works
Cerebellar-Inspired Learning Rule for Gain Adaptation of Feedback Controllers
R 2 R: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints
New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search
A few filters are enough: Convolutional Neural Network for P300 Detection
The number of rational points of hyperelliptic curves over subsets of finite fields
HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space
A family of virtual contraction based controllers for tracking of flexible-joints port-Hamiltonian robots: theory and experiments
Geometric Control of Mechanical Systems with Symmetries Based on Sliding Modes
Revisiting the Challenges of MaxClique
A Neuro-Fuzzy Multi Swarm FastSLAM Framework
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning
DS++: A flexible, scalable and provably tight relaxation for matching problems
A rewriting point of view on strategies
AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval
SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning
How Noisy Data Affects Geometric Semantic Genetic Programming
An evaluation of intrusive instrumental intelligibility metrics
Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach
Computing All Shortest Passenger Routes with a Tropical Dijkstra Algorithm
Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities
Train No Evil: Selective Masking for Task-guided Pre-training
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction
Evaluating Prompting Strategies with MedGemma for Medical Order Extraction
The Prospects for e-Examinations in Nigeria and Australia
NESTA, The NICTA Energy System Test Case Archive
A Large-Scale Dataset and Reproducible Framework for RF Fingerprinting on IEEE 802.11g Same-Model Devices
Discovering Relaxed Sound Workflow Nets using Integer Linear Programming
Autoregressive Model for Multi-Pass SAR Change Detection Based on Image Stacks
A High-performance Real-time Container File Monitoring Approach Based on Virtual Machine Introspection
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition
PathFinder: Efficiently Supporting Conjunctions and Disjunctions for Filtered Approximate Nearest Neighbor Search
Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
An Attack on The Speculative Vectorization: Leakage from Higher Dimensional Speculation
The Solution for Temporal Action Localisation Task of Perception Test Challenge 2024
Cut Sparsification of the Clique Beyond the Ramanujan Bound
Can One Escape Red Chains? Regular Path Queries Determinacy is Undecidable
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization
Towards High Resolution Weather Monitoring with Sound Data
Simulating Structure-from-Motion
Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models
Building Guardrails for Large Language Models
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
Garbage Collection in Concurrent Sets
From Analog to Digital - Successful Implementation of IoT Solutions in the Petrochemical Industry
Causal Analysis of First-Year Course Approval Delays in an Engineering Major Through Inference Techniques
Stability analysis of chaotic systems in latent spaces
Common Information based Markov Perfect Equilibria for Linear-Gaussian Games with Asymmetric Information
Sub-Nyquist Radar Systems: Temporal, Spectral and Spatial Compression
Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds
Exponential Slowdown for Larger Populations: The (μ+1)-EA on Monotone Functions
Deep Reinforcement Learning Approach for Trading Automation in The Stock Market
Optimized Monte Carlo Tree Search for Enhanced Decision Making in the FrozenLake Environment
Test-time Corpus Feedback: From Retrieval to RAG
Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
The d-separation criterion in Categorical Probability
Lead-acid battery lifetime extension in solar home systems under different operating conditions
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
Task-Based Algorithm for Matrix Multiplication: A Step Towards Block-Sparse Tensor Computing
A Practical Algorithm for the Computation of the Genus
An initial alignment between neural network and target is needed for gradient descent to learn
On the Resilience of Multi-Agent Systems with Malicious Agents
A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features
Loop corrections in spin models through density consistency
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR
Tunably Rugged Landscapes with Known Maximum and Minimum
CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
Improving Resistance to Adversarial Deformations by Regularizing Gradients
The News Comment Gap and Algorithmic Agenda Setting in Online Forums
When LP is the Cure for Your Matching Woes: Approximating Stochastic Matchings
A variational non-linear constrained model for the inversion of FDEM data
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection
GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More
Parallel photonic accelerator for decision making using optical spatiotemporal chaos
An analysis of non-immigrant work visas in the USA using Machine Learning
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach
An augmentation strategy to mimic multi-scanner variability in MRI
RGBGrasp: Image-based Object Grasping by Capturing Multiple Views during Robot Arm Movement with Neural Radiance Fields
Certainty-Guided Reasoning in Large Language Models: A Dynamic Thinking Budget Approach
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder
Artificial Intuition: Efficient Classification of Scientific Abstracts
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Wealth Redistribution and Mutual Aid: Comparison using Equivalent/Nonequivalent Exchange Models of Econophysics
Seismic data denoising and deblending using deep learning
Toward Minimum Graphic Parity Networks
Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
DyKnow-RAG: Dynamic Knowledge Utilization Reinforcement Framework for Noisy Retrieval-Augmented Generation in E-commerce Search Relevance
The Interaction between Inputs and Configurations fed to Software Systems: an Empirical Study
Using analog scrambling circuits for automotive sensor integrity and authenticity
Are LLMs ready to help non-expert users to make charts of official statistics data?
Supply Chain Network Security Investment Strategies Based on Nonlinear Budget Constraints: The Moderating Roles of Market Share and Attack Risk
Chernoff Information of Bottleneck Gaussian Trees
Tight relations and equivalences between smooth relative entropies
SynCoTrain: A Dual Classifier PU-learning Framework for Synthesizability Prediction
A CMOS Spiking Neuron for Brain-Inspired Neural Networks with Resistive Synapses and In-Situ Learning
Scala-gopher: CSP-style programming techniques with idiomatic Scala
Nonparametric End-to-End Probabilistic Forecasting of Distributed Generation Outputs Considering Missing Data Imputation
Automated Capability Evaluation of Foundation Models
Africa-Centric Self-Supervised Pre-Training for Multilingual Speech Representation in a Sub-Saharan Context
A tutorial overview of model predictive control for continuous crystallization: current possibilities and future perspectives
Low regularity error estimates for high dimensional nonlinear Schrödinger equations
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction
Majority & Stabilization in Population Protocols
Automatically Evolving CNN Architectures Based on Blocks
Pistis-RAG: A Scalable Cascading Framework Towards Trustworthy Retrieval-Augmented Generation
Distribution-Aware Compensation Design for Sustainable Data Rights in Machine Learning
Unraveling Spurious Properties of Interaction Networks with Tailored Random Networks
Generating extreme quantum scattering in graphene with machine learning
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation
CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory
An Unsupervised, Iterative N-Dimensional Point-Set Registration Algorithm
Position based dynamic of a particle system: a configurable algorithm to describe complex behaviour of continuum material starting from swarm robotics
Evaluation of key impression of resilient supply chain based on artificial intelligence of things (AIoT)
The log log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range. Extension of the model
Community detection in overlapping weighted networks
Trapezoidal methods for fractional differential equations: theoretical and computational aspects
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability
Subgraph Detection with cues using Belief Propagation
Wildfire Detection Via Transfer Learning: A Survey
SegVec3D: A Method for Vector Embedding of 3D Objects Oriented Towards Robot manipulation
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
A semi-smooth Newton method for magnetic field problems with hysteresis
TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domain
The Green's function for an acoustic half-space problem with impedance boundary conditions Part I: Representation formula
Pathographs and some (un)decidability results
Fused Partial Gromov-Wasserstein for Structured Objects
Coarse-to-fine Seam Estimation for Image Stitching
An Investigation of Darwiche and Pearl's Postulates for Iterated Belief Update
The Endless Tuning. An Artificial Intelligence Design To Avoid Human Replacement and Trace Back Responsibilities
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network
Information-Theoretic Lower Bounds for Approximating Monomials via Optimal Quantum Tsallis Entropy Estimation
Phare: A Safety Probe for Large Language Models
Maximum Weight Spectrum Codes
Fast optimization of viscosities for frequency-weighted damping of second-order systems
Ensemble Parameter Estimation for the LPLSP Framework: A Rapid Approach to Reduced-Order Modeling for Transient Thermal Systems
Sequential Language-based Decisions
Bayesian tensor factorization for predicting clinical outcomes using integrated human genetics evidence
A Universal Model for War and Peace
LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
Charting Uncertain Waters: A Socio-Technical Framework for Navigating GenAI's Impact on Open Source Communities
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations
Codes from surfaces with small Picard number
An abstract theory of domain decomposition methods with coarse spaces of the GenEO family
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
SLOT: Sample-specific Language Model Optimization at Test-time
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Numerically stable evaluation of closed-form expressions for eigenvalues of 3 ⨉ 3 matrices
Remote Home Management: An alternative for working at home while away
Unsupervised Label-aware Event Trigger and Argument Classification
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
Towards Good Practices for Deep 3D Hand Pose Estimation
Commonsense knowledge adversarial dataset that challenges ELECTRA
Analysis of Personalized Information Service System for Digital Libraries
Improved Contact Graph Routing in Delay Tolerant Networks with Capacity and Buffer Constraints
A Quantum Cellular Automata architecture with nearest neighbor interactions using one quantum gate type
An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
An elementary proof that linking problems are hard
High-performance xPU Stencil Computations in Julia
An Intelligent System for Multi-topic Social Spam Detection in Microblogging
Multiplex Communities and the Emergence of International Conflict
Strengthening the EU AI Act: Defining Key Terms on AI Manipulation
Machine Learning based Parameter Sensitivity of Regional Climate Models - A Case Study of the WRF Model for Heat Extremes over Southeast Australia
Minecraft: An Engaging Platform to Learn Programming
USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots
ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented Reasoning
General Data Analytics with Applications to Visual Information Analysis: A Provable Backward-Compatible Semisimple Paradigm over T-Algebra
Hybrid Generative Semantic and Bit Communications in Satellite Networks: Trade-offs in Latency, Generation Quality, and Computation
MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model
On the Convergence of Approximate Message Passing with Arbitrary Matrices
Decentralized Space Surveillance: Blockchain-Based Space Domain Awareness
On arch factorization and subword universality for words and compressed words
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
Forecasting Daily Primary Three-Hour Net Load Ramps in the CAISO System
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation
Manipulating Sparse Double Descent
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs
Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection
HOPPR Medical-Grade Platform for Medical Imaging AI
Attitude Determination and Control of GPS Satellites: Stabilization, Orbital Insertion, and Operational Control Mechanisms
A combined ocean and oil model for model-based adaptive monitoring
Identification of Effective Connectivity Subregions
Collaborative High Accuracy Localization in Mobile Multipath Environments
Hierarchical Partitioning Forecaster
Perpetual exploration in anonymous synchronous networks with a Byzantine black hole
A Photometrically Calibrated Benchmark For Monocular Visual Odometry
Spectrum Sensing in Cognitive Radio Networks: Performance Evaluation and Optimization
About the Infinite Windy Firebreak Location problem
MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning
Using VLM Reasoning to Constrain Task and Motion Planning
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives
On the Evaluation Consistency of Attribution-based Explanations
Guidance and Teaching Network for Video Salient Object Detection
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation
3D Object Localization Using 2D Estimates for Computer Vision Applications
Self-supervised Learning of 3D Objects from Natural Images
Stochastic gradient descent algorithms for strongly convex functions at O(1/T) convergence rates
Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach
Software Defined Edge Computing for Distributed Management and Scalable Control in IoT Multinetworks
Evaluating the Use of Reconstruction Error for Novelty Localization
GEO-Detective: Unveiling Location Privacy Risks in Images with LLM Agents
Checking and producing word attractors
Optimization via a Control-Centric Framework
Graphical State Space Model
Non-Gaussianity of Stochastic Gradient Noise
Audio Source Separation Using a Deep Autoencoder
Perfectly normal type-2 fuzzy interpolation B-spline curve
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Wasserstein distributional adversarial training for deep neural networks
Fluorescent Troffer-powered Internet of Things: An Experimental Study of Electric-field Energy Harvesting
Analyzing the Performance of Active Queue Management Algorithms
KV-Edit: Training-Free Image Editing for Precise Background Preservation
SOAP: Enhancing Efficiency of Generated Code via Self-Optimization
Dual Active Learning for Reinforcement Learning from Human Feedback
A Natural Deduction style proof system for propositional μ-calculus and its formalization in inductive type theories
On the Hardness of Welfare Maximization in Combinatorial Auctions with Submodular Valuations
Learning high-accuracy numerical schemes for hyperbolic equations on coarse meshes
Performance of the Extended Ising Machine for the Quadratic Knapsack Problem
On Data-Driven Surrogate Modeling for Nonlinear Optimal Control
Solving 3-SAT and 3-dimensional matching in polynomial time
CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract]
Fine-tuning deep learning models for stereo matching using results from semi-global matching
Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithms
A Crude Analysis of Twitch Plays Pokemon
Image Generation With Neural Cellular Automatas
Entropy Maximization as a Holistic Design Principle for Complex Optimal Networks and the Emergence of Power Laws
Compressive Sensing over Graphs
Initialization of a Disease Transmission Model
Scale-Invariant Convolutional Neural Networks
Fixed Point Algorithm Based on Quasi-Newton Method for Convex Minimization Problem with Application to Image Deblurring
Deep Bilateral Retinex for Low-Light Image Enhancement
A comprehensive review of remote sensing in wetland classification and mapping
Towards Domain Generalization in Object Detection
Pre-vote negotiations and binary voting with constraints
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference
Stochastic modified equations for the asynchronous stochastic gradient descent
Generalization error bounds for stationary autoregressive models
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces
Table Structure Recognition using Top-Down and Bottom-Up Cues
Single Fragment Forensic Coding from Discrepancy Theory
Deterministic Sample Sort For GPUs
Approximate Counting, the Lovasz Local Lemma and Inference in Graphical Models
Database Operations in D4M.jl
Neuro-Logic Lifelong Learning
Political Discussion and Leanings on Twitter: the 2016 Italian Constitutional Referendum
Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting
A Novel Regularization Approach to Fair ML
Distraction-free Embeddings for Robust VQA
Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines
Rock Guitar Tablature Generation via Natural Language Processing
Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences
Efficient RL Training for Reasoning Models via Length-Aware Optimization
Attention with Intention for a Neural Network Conversation Model
Purer than pure: how purity reshapes the upstream materiality of the semiconductor industry
KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model
Asymptotic inversion of the binomial and negative binomial cumulative distribution functions
A robust hierarchical nominal classification method based on similarity and dissimilarity
Asymptotic analysis and design of shell-based thermal lattice metamaterials
Molecular Hypergraph Grammar with its Application to Molecular Optimization
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks
Fostering new Vertical and Horizontal IoT Applications with Intelligence Everywhere
Data Reduction in Intrusion Alert Correlation
Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets
A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices
Matroids and Integrality Gaps for Hypergraphic Steiner Tree Relaxations
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps
Peng Cheng Object Detection Benchmark for Smart City
UrbanNav: Learning Language-Guided Urban Navigation from Web-Scale Human Trajectories
To Bond or not to Bond: An Optimal Channel Allocation Algorithm For Flexible Dynamic Channel Bonding in WLANs
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification
Rethinking Resource Allocation in Science
Improved Bounds on the Stretch Factor of $Y_4$
Blind Diagnosis for Millimeter-wave Massive MIMO Systems
Signal Processing and Optimal Resource Allocation for the Interference Channel
Work Online, Welfare Calls, and Wine Night: Effects of the COVID-19 Pandemic on Individuals' Technology Use
Honey Onions: a Framework for Characterizing and Identifying Misbehaving Tor HSDirs
Privacy Protection and Video Manipulation in Immersive Media
Empirical Gaussian priors for cross-lingual transfer learning
Choice Models and Permutation Invariance
DRL: Deep Reinforcement Learning for Intelligent Robot Control - Concept, Literature, and Future
One-Step Stochastic Processes Simulation Software Package
Efficient Exascale Discretizations: High-Order Finite Element Methods
CNN-VWII: An Efficient Approach for Large-Scale Video Retrieval by Image Queries
Turing complete Navier-Stokes steady states via cosymplectic geometry