yusuke1997/dblp-id-title huggingface dataset:
Partial Identification Approach to Counterfactual Fairness Assessment
High-Dimensional Calibration from Swap Regret
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
An Upper Bound on the Error Probability of RPA Decoding of Reed-Muller Codes Over the BSC
Polycraft World AI Lab (PAL): An Extensible Platform for Evaluating Artificial Intelligence Agents
Can a Multichoice Dataset be Repurposed for Extractive Question Answering?
The Complexity of Robot Games on the Integer Line
Deep Learning in Classical and Quantum Physics
Next-Generation Reservoir Computing for Dynamical Inference
The algorithm by Ferson et al. is surprisingly fast: An NP-hard optimization problem solvable in almost linear time with high probability
Ujian Online Mahasiswa Ilmu Komputer Berbasis Smartphone
Resource dependent undecidability: computability landscape of distinct Turing theories
PDD Crawler: A focused web crawler using link and content analysis for relevance prediction
CAMINO: Cloud-native Autonomous Management and Intent-based Orchestrator
SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)
End-to-end Planner Training for Language Modeling
Missing Value Imputation Based on Deep Generative Models
Galerkin Finite Element Method for Nonlinear Riemann-Liouville and Caputo Fractional Equations
Multiset Signal Processing and Electronics
Residual Off-Policy RL for Finetuning Behavior Cloning Policies
Anonymer Tanz als dekolonialisierende Praxis. Ein embodied Research Versuch
The Unique Games Conjecture, Integrality Gap for Cut Problems and Embeddability of Negative Type Metrics into ℓ 1
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder
ACO for Continuous Function Optimization: A Performance Analysis
The Shortest Path Problem with Edge Information Reuse is NP-Complete
Estimating Uncertain Spatial Relationships in Robotics
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application
Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating the Accuracy-Robustness Tradeoff
An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering
Brain-to-brain Wireless Communication and Technologies Beyond 5G
Counting Inversions Adaptively
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling
Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
Scientometric analysis and knowledge mapping of literature-based discovery (1986-2020)
Musical Instrument Recognition by XGBoost Combining Feature Fusion
Scalable System Scheduling for HPC and Big Data
Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
Decentralized Measurement Feedback Stabilization of Large-scale Systems via Control Vector Lyapunov Functions
A computational theory of evaluation for parameterisable subject
Symmetric Orthogonal Tensor Decomposition is Trivial
A Gaps Approach to Access the Efficiency and Effectiveness of IT-Initiatives In Rural Areas: case study of Samalta, a village in the central Himalayan Region of India
Computer Vision for COVID-19 Control: A Survey
Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
An EMOF-Compliant Abstract Syntax for Bigraphs
What Java Developers Know About Compatibility, And Why This Matters
Data sparse multilevel covariance estimation in optimal complexity
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models
Context Aware Dynamic Traffic Signal Optimization
Quantifying constraint hierarchies in Bayesian PINNs via per-constraint Hessian decomposition
An Experimentally Validated Feasible Quantum Protocol for Identity-Based Signature with Application to Secure Email Communication
A Heuristic Autonomous Exploration Method Based on Environmental Information Gain During Quadrotor Flight
Fine-Tuning Small Embeddings for Elevated Performance
Predicting kernel regression learning curves from only raw data statistics
Domain Adaptation based Technique for Image Emotion Recognition using Pre-trained Facial Expression Recognition Models
BanglaBERT: Combating Embedding Barrier for Low-Resource Language Understanding
In-depth comparison of the Berlekamp-Massey-Sakata and the Scalar-FGLM algorithms: the adaptive variants
Accessible Melanoma Detection using Smartphones and Mobile Image Analysis
A posteriori error analysis for Schwarz overlapping domain decomposition methods
Regular Cost Functions, Part I: Logic and Algebra over Words
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes
Constructing Phylogenetic Networks via Cherry Picking and Machine Learning
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
A Multi-Agent LLM Framework for Design Space Exploration in Autonomous Driving Systems
Deep Learning For Smile Recognition
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification
Transfer RL via the Undo Maps Formalism
An Efficient Algorithm for Maximum-Entropy Extension of Block-Circulant Covariance Matrices
Penzai + Treescope: A Toolkit for Interpreting, Visualizing, and Editing Models As Data
Trajectory Tracking Control of the Bionic Joint Actuated by Pneumatic Artificial Muscle Based on Robust Modeling
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
Graph RAG-Tool Fusion
Variational Bayes for robust radar single object tracking
User-Generated Content and Editors in Games: A Comprehensive Survey
Learning Kinetic Monte Carlo stochastic dynamics with Deep Generative Adversarial Networks
Brick: Asynchronous State Channels
A Provable Approach for End-to-End Safe Reinforcement Learning
FacePhys: State of the Heart Learning
A new watermarking method to protect blockchain records comprising handwritten files
By Land, Air, or Sea: Multi-Domain Robot Communication Via Motion
COSMOS: Predictable and Cost-Effective Adaptation of LLMs
Trading off Completeness for Efficiency - The ParseTalk Performance Grammar Approach to Real-World Text Parsing
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis
The Bayesian Inversion Problem for Thermal Average Sampling of Quantum Systems
Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems
A time adaptive multirate Quasi-Newton waveform iteration for coupled problems
Walsh functions, scrambled $(0, m, s)$-nets, and negative covariance: applying symbolic computation to quasi-Monte Carlo integration
Building Blocks to Empower Cognitive Internet with Hybrid Edge Cloud
Deep Tree Learning for Zero-shot Face Anti-Spoofing
Freeze the BCI until the user is ready: a pilot study of a BCI inhibitor
ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning
Short Text Topic Modeling: Application to tweets about Bitcoin
Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding
Internet of Things from Space: Transforming LTE Machine Type Communications for Non-terrestrial Networks
A multi-objective optimization framework for on-line ridesharing systems
Going beyond explainability in multi-modal stroke outcome prediction models
METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
Heuristic approach to optimize the number of test cases for simple circuits
An Iterative Security Game for Computing Robust and Adaptive Network Flows
DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
Value Gradient Guidance for Flow Matching Alignment
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences
A generalised framework for phase field-based modelling of coupled problems: application to thermo-mechanical fracture, hydraulic fracture, hydrogen embrittlement and corrosion
Backlog and Delay Reasoning in HARQ Systems
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
Augmented Reality-Enhanced Robot Teleoperation for Collecting User Demonstrations
ShareTrace: Contact Tracing with Asynchronous, Parallel Message Passing on a Temporal Graph
Optimal Symmetries in Binary Classification
Protecting the Grid against IoT Botnets of High-Wattage Devices
Exploratory Search with Sentence Embeddings
Phenomenology Tools on Cloud Infrastructures using OpenStack
GPoS: Geospatially-aware Proof of Stake
Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
A Contrastive Learning Foundation Model Based on Perfectly Aligned Sample Pairs for Remote Sensing Images
EDNet: A Distortion-Agnostic Speech Enhancement Framework with Gating Mamba Mechanism and Phase Shift-Invariant Training
Saliency-Aware Automatic Buddhas Statue Recognition
On the design of an innovative solution for increasing hazardous materials transportation safety
Hybrid Physics-Data Enrichments to Represent Uncertainty in Reduced Gas-Surface Chemistry Models for Hypersonic Flight
Weight Try-Once-Discard Protocol-Based L_2 L_infinity State Estimation for Markovian Jumping Neural Networks with Partially Known Transition Probabilities
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation
A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems
Input/Output Stochastic Automata with Urgency: Confluence and weak determinism
Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design
Integrating data science ethics into an undergraduate major
Image segmentation of cross-country scenes captured in IR spectrum
Efficient Loop Detection in Forwarding Networks and Representing Atoms in a Field of Sets
On the power of dominated players in team competitions
Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media
Büchi automata for distributed temporal logic
A Margin-based Multiclass Generalization Bound via Geometric Complexity
An Intelligent Future Mobile Terminal Architecture
Impact of Critical and Auto Ticket: Analysis for Management and Workers Productivity in using a Ticketing System
LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation
Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models
Deep Learning-Enabled Swallowing Monitoring and Postoperative Recovery Biosensing System
Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information
Patient Safety Risks from AI Scribes: Signals from End-User Feedback
A real-time framework for visual feedback of articulatory data using statistical shape models
A New and Feasible Protocol for Semi-quantum Key Distribution
Respiratory Subtraction for Pulmonary Microwave Ablation Evaluation
Framing Unionization on Facebook: Communication around Representation Elections in the United States
Early Warning Signals of Social Instabilities in Twitter Data
Incremental Nonparametric Weighted Feature Extraction for OnlineSubspace Pattern Classification
Towards Minimal Supervision BERT-based Grammar Error Correction
Coconut E-Petition Implementation
Optimal Radiometric Calibration for Camera-Display Communication
Code-switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation
Algorithmic Contract Design with Reinforcement Learning Agents
Information Flow Analysis for a Dynamically Typed Functional Language with Staged Metaprogramming
"I don't believe in word senses"
Sovereign AI for 6G: Towards the Future of AI-Native Networks
A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
Reinforcement Learning for Self-Improving Agent with Skill Library
MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels
Fastest Distributed Consensus on Petal Networks
Using heterogeneity in semi-supervised transcription hypotheses to improve code-switched speech recognition
Sub-exponential Approximation Schemes for CSPs: from Dense to Almost Sparse
Dispersion Characterization and Pulse Prediction with Machine Learning
Shaping of Magnetic Field Coils in Fusion Reactors using Bayesian Optimisation
Can We Trust AI Agents? An Experimental Study Towards Trustworthy LLM-Based Multi-Agent Systems for AI Ethics
On the Documentation of Refactoring Types
Automatic Gradient Descent: Deep Learning without Hyperparameters
Conflict-Averse Gradient Optimization of Ensembles for Effective Offline Model-Based Optimization
Cosine Similarity of Multimodal Content Vectors for TV Programmes
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
Simple epistemic planning: generalised gossiping
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks
Quasi-Degradation Probability of Two-User NOMA over Rician Fading Channels
Fast Learning-based Registration of Sparse Clinical Images
Flip Distance Between Two Triangulations of a Point-Set is NP-complete
VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation
AI/ML Life Cycle Management for Interoperable AI Native RAN
What can we learn about a generated image corrupting its latent representation?
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers
A domain decomposition approach to pore-network modeling of porous media flow
Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery
Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
Stretching the capacity of Hardware Transactional Memory in IBM POWER architectures
Numerical simulations of a quantum algorithm for Hilbert's tenth problem
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
Struct-X: Enhancing Large Language Models Reasoning with Structured Data
BioimageAIpub: a toolbox for AI-ready bioimaging data publishing
Homomorphic Encryption in Healthcare Industry Applications for Protecting Data Privacy
Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis
Compressive Demodulation of Mutually Interfering Signals
Treatment Effect Estimation for Optimal Decision-Making
Location Privacy in Cognitive Radios with Multi-Server Private Information Retrieval
A generic system for critiquing physicians' prescriptions: usability, satisfaction and lessons learnt
AgentKit: Flow Engineering with Graphs, not Coding
Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition
Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status
Big Bird: Privacy Budget Management for W3C's Privacy-Preserving Attribution API
Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnections
Decoding Urban-health Nexus: Interpretable Machine Learning Illuminates Cancer Prevalence based on Intertwined City Features
A Novel Dual-Stream Framework for dMRI Tractography Streamline Classification with Joint dMRI and fMRI Data
DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans
Higher-Order Pattern Complement and the Strict Lambda-Calculus
Relay Assisted F/TDMA Ad Hoc Networks: Node Classification, Power Allocation and Relaying Strategies
SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models
Loss Functions and Metrics in Deep Learning. A Review
Extending and Improving Wordnet via Unsupervised Word Embeddings
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging
k-Variance: A Clustered Notion of Variance
Der Weg zur digitalen Arbeitsmappe: Digitales Prüfungswesen mit Zertifizierung
Stable rank-adaptive Dynamically Orthogonal Runge-Kutta schemes
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
Generative time series models using Neural ODE in Variational Autoencoders
BOP-D: Revisiting 6D Pose Estimation Benchmark for Better Evaluation under Visual Ambiguities
On the Decoding Complexity of Cyclic Codes Up to the BCH Bound
Bucket-brigade inspired power line network protocol for sensed quantity profile acquisition with smart sensors deployed as a queue in harsh environment
Minimaxity in Structured Normal Means Inference
A multiobjective deep learning approach for predictive classification in Neuroblastoma
Probabilistically-Safe Bipedal Navigation over Uncertain Terrain via Conformal Prediction and Contraction Analysis
OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models
Distributionally Robust Chance-Constrained Flexibility Planning for Integrated Energy System
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
High order multiscale methods for advection-diffusion equation with highly oscillatory boundary condition
Challenger-Based Combinatorial Bandits for Subcarrier Selection in OFDM Systems
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection
Improving Multislice Electron Ptychography with a Generative Prior
Parallel Vertex Approximate Gradient discretization of hybrid dimensional Darcy flow and transport in discrete fracture networks
Soft Multicopter Control using Neural Dynamics Identification
Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained Transformers
Are You Being Tracked? Discover the Power of Zero-Shot Trajectory Tracing with LLMs!
Adjusted Objects: An Efficient and Principled Approach to Scalable Programming (Extended Version)
Synthetic Data Generation for Fraud Detection using GANs
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions
Exploiting spatial group error and synchrony for a unicycle tracking controller
Large Language Model Agent in Financial Trading: A Survey
α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19
Constant factor FPT approximation for capacitated k-median
Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics
Why the Brain Cannot Be a Digital Computer: History-Dependence and the Computational Limits of Consciousness
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning
Identification of Cellular Automata on Spaces of Bernoulli Probability Measures
Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits
Network Horizon Dynamics I: Qualitative Aspects
Who Has The Final Say? Conformity Dynamics in ChatGPT's Selections
FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks on Non-IID Data
Why Do Networks Need Negative Weights?
The Reasonable Effectiveness of Agent-Based Simulations in Evolutionary Game Theory
On the dichromatic number of surfaces
On the Completeness of Conflict-Based Search: Temporally-Relative Duplicate Pruning
Robust Matrix Decomposition with Outliers
3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning
Who is to Blame? Runtime Verification of Distributed Objects with Active Monitors
A Statistical Measure of Complexity
NSTRI Global Collaborative Research Data Platform
The No-Flippancy Game
Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
Approximately Optimal Mechanism Design
Convex Factorization Machine for Regression
The Entity Registry System. From concept to deployment
Smoothness of Schatten Norms and Sliding-Window Matrix Streams
Dual-tree $k$-means with bounded iteration runtime
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks
PICNIQ: Pairwise Comparisons for Natural Image Quality Assessment
Low voltage user phase reconfiguration as a planning problem
Delineating geographical regions with networks of human interactions in an extensive set of countries
A Two-Scale Complexity Measure for Deep Learning Models
Generalized Activation via Multivariate Projection
Teach an all-rounder with experts in different domains
Numerical approximation of the value of a stochastic differential game with asymmetric information
Language-Guided Visual Perception Disentanglement for Image Quality Assessment and Conditional Image Generation
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes
Reconstruction of gene regulatory network of colon cancer using information theoretic approach
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
Frequency Estimation of Multiple Sinusoids with Sub-Nyquist Sampling Sequences
LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection
Improved Detection of Adversarial Attacks via Penetration Distortion Maximization
ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts
A Convex Optimization Approach for Backstepping PDE Design: Volterra and Fredholm Operators
Deliberative Platform Design: The case study of the online discussions in Decidim Barcelona
Power Law and Entropy
Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances
ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums
Cheating Suffix: Targeted Attack to Text-To-Image Diffusion Models with Multi-Modal Priors
Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks
Reinforcement Learning Based Escape Route Generation in Low Visibility Environments
Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques
An adaptive data-driven approach to solve real-world vehicle routing problems in logistics