yusuke1997/dblp-id-title huggingface dataset:
Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution
The Ciao clp(FD) Library. A Modular CLP Extension for Prolog
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks
Probabilistic Model Checking for Complex Cognitive Tasks - A case study in human-robot interaction
Secure Routing and Data Transmission in Mobile Ad Hoc Networks
MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters
Error analysis of Runge-Kutta discontinuous Galerkin methods for linear time-dependent partial differential equations
The 2nd Anti-UAV Workshop & Challenge: Methods and Results
Processing and Analyzing Real-World Driving Data: Insights on Trips, Scenarios, and Human Driving Behaviors
Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches
De-crackling Virtual Analog Controls with Asymptotically Stable Recurrent Neural Networks
Holographic Neural Architectures
PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
Synthetic Non-stationary Data Streams for Recognition of the Unknown
Introduction to dynamical mean-field theory of generic random neural networks
Optimal Subarchitecture Extraction For BERT
Reinforcement Learning based QoS/QoE-aware Service Function Chaining in Software-Driven 5G Slices
Assigning Multi-Robot Tasks to Multitasking Robots
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Bringing Together Project Simulation and Psychometric Tests: A Business Game Proposal
Privacy-Preserving Retrieval Augmented Generation with Differential Privacy
What you need to know about the state-of-the-art computational models of object-vision: A tour through the models
CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds
Nonlinear Model Reduction to Random Spectral Submanifolds in Random Vibrations
A fundamental Game Theoretic model and approximate global Nash Equilibria computation for European Spot Power Markets
On gray-box modeling for virtual flow metering
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021
Evaluating On-demand Pseudonym Acquisition Policies in Vehicular Communication Systems
Descriptive History Representations: Learning Representations by Answering Questions
Reconstruction of Enhanced Ultrasound Images From Compressed Measurements Using Simultaneous Direction Method of Multipliers
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data
Vector Programming Using Generative Recursion
Techniques for Adversarial Examples Threatening the Safety of Artificial Intelligence Based Systems
Software-Defined Network (SDN) Data Plane Security: Issues, Solutions and Future Directions
Comments on "Gang EDF Schedulability Analysis"
Sampling from Boltzmann densities with physics informed low-rank formats
The Three-User Finite Field Multi-Way Relay Channel with Correlated Sources
Filter Pruning based on Information Capacity and Independence
Lower bounds for oblivious subspace embeddings
Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model
Intrinsic Dimension Estimating Autoencoder (IDEA) Using CancelOut Layer and a Projected Loss
Image Inpainting with External-internal Learning and Monochromic Bottleneck
LLMs as Deceptive Agents: How Role-Based Prompting Induces Semantic Ambiguity in Puzzle Tasks
A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks
Simple, Light, Yet Formally Verified, Global Common Subexpression Elimination and Loop-Invariant Code Motion
OPBO: Order-Preserving Bayesian Optimization
A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
3D Pathfinding and Collision Avoidance Using Uneven Search-space Quantization and Visual Cone Search
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes
Unifying Model Explainability and Robustness via Machine-Checkable Concepts
Slip detection for grasp stabilisation with a multi-fingered tactile robot hand
Online placement test based on Item Response Theory and IMS Global standards
Theory of Network Wave (On a Primary Path)
InstructUDrag: Joint Text Instructions and Object Dragging for Interactive Image Editing
CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems
SURT 2.0: Advances in Transducer-based Multi-talker Speech Recognition
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets
Identification in Dynamic Networks
Proposing A Ciphering Protocol
Time Resource Networks
Symbolic Implementation of Connectors in BIP
Evaluating Feature Attribution: An Information-Theoretic Perspective
Detection of Alzheimers Disease from MRI using Convolutional Neural Network with Tensorflow
Automated Knee X-ray Report Generation
The Adaptive s-step Conjugate Gradient Method
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations
Weighted Edit Distance Computation: Strings, Trees and Dyck
CHIRON: Accelerating Node Synchronization without Security Trade-offs in Distributed Ledgers
On the Hardness of Bribery Variants in Voting with CP-Nets
Least change in the Determinant or Permanent of a matrix under perturbation of a single element: continuous and discrete cases
A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
Deep Learning Models for Robust Facial Liveness Detection
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation
Computation Against a Neighbour
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Using Butterfly-Patterned Partial Sums to Optimize GPU Memory Accesses for Drawing from Discrete Distributions
Intrinsic Spike Timing Dependent Plasticity in Stochastic Magnetic Tunnel Junctions Mediated by Heat Dynamics
Scientists are Working Overtime and at the Weekends: Comparison of Publication Downloading from Copyrighted and Pirated Platforms
Monimial Matrix Analogue of Yoshida's theorem
Intersection Theory for Generic Differential Polynomials and Differential Chow Form
Approximately: Independence Implies Vertex Cover
AI Scaling: From Up to Down and Out
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction
A new scheme of signature extraction for iris authentication
Competence of bachelor in electromechanics in simulation
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments
Customizing Number Representation and Precision
DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels
Analytical Investigations on Carrier Phase Recovery in Dispersion-Unmanaged n-PSK Coherent Optical Communication Systems
Internet-based Adaptive Distributed Simulation of Mobile Ad-hoc Networks
Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts
(Predictable) Performance Bias in Unsupervised Anomaly Detection
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
High Quality of Service on Video Streaming in P2P Networks using FST-MDC
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal
Continuous Donoho-Elad Spark Uncertainty Principle
Astraea: A GPU-Oriented Token-wise Acceleration Framework for Video Diffusion Transformers
Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs
Towards Dynamic Urban Scene Synthesis: The Digital Twin Descriptor Service
How to Leverage DNN-based speech enhancement for multi-channel speaker verification?
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic
A design of Convolutional Neural Network model for the Diagnosis of the COVID-19
A review on ranking problems in statistical learning
What you need to know to train recurrent neural networks to make Flip Flops memories and more
Semantic Communications in Networked Systems
Domain-Specific Foundation Model Improves AI-Based Analysis of Neuropathology
Attributions Beyond Neural Networks: The Linear Program Case
Deriving Ontologies from XML Schema
Forecasting election results by studying brand importance in online news
Metamimetic Games : Modeling Metadynamics in Social Cognition
LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations
Measuring Team Creativity Through Longitudinal Social Signals
Towards Fixed-Point Formats Determination for Faust Programs
Design and Simulation of a Steam Turbine Generator using Observer Based and LQR Controllers
Sample-efficient Imitative Multi-token Decision Transformer for Generalizable Real World Driving
Comuniqa : Exploring Large Language Models for improving speaking skills
Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning
Geoplotlib: a Python Toolbox for Visualizing Geographical Data
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
Use of Information, Memory and Randomization in Asynchronous Gathering
Vehicle Teleoperation: Performance Assessment of SRPT Approach Under State Estimation Errors
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)
Geometry-Aware Global Feature Aggregation for Real-Time Indirect Illumination
Fast Finite Field Hartley Transforms Based on Hadamard Decomposition
A New Parallel Cooperative Landscape Smoothing Algorithm and Its Applications on TSP and UBQP
An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment
The predictable degree property, column reducedness, and minimality in multidimensional convolutional coding
Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks
Automated Directed Fairness Testing
3rd Place Solution to Meta AI Video Similarity Challenge
A Survey on Web Spam Detection Methods: Taxonomy
Periodicity in Rectangular Arrays
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach
BuildingGym: An open-source toolbox for AI-based building energy management using reinforcement learning
Analysis of Avoided Transmission Through Decentralized Photovoltaic and Battery Storage Systems
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces
Differential Privacy in Kernelized Contextual Bandits via Random Projections
Computational efficiency of fractional diffusion using adaptive time step memory
The Prevalence of Cybersecurity Misinformation on Social Media: Case Studies on Phishing Reports and Zoom's Threats
An Alternate View on Optimal Filtering in an RKHS
Interpretable Ransomware Detection Using Hybrid Large Language Models: A Comparative Analysis of BERT, RoBERTa, and DeBERTa Through LIME and SHAP
State estimation of timed automata under partial observation [Draft version]
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
Small Profits and Quick Returns: An Incentive Mechanism Design for IoT-based Crowdsourcing under Continuous Platform Competition
Computation of Maximal Admissible Robust Positive Invariant Sets for Linear Systems with Parametric and Additive Uncertainties
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation
Object Recognition Using Deep Neural Networks: A Survey
Network-Connected UAV Communications: Potentials and Challenges
The roll call interpretation of the Shapley value
Anti-Jamming based on Null-Steering Antennas and Intelligent UAV Swarm Behavior
DATeS: A Highly-Extensible Data Assimilation Testing Suite
Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems
Reducing Failure Probability of cloud storage services using Multi-Clouds
A Relation Algebra for Term Rewriting: A differential approach to sequential reduction (Revised Version)
Global Contentious Politics Database (GLOCON) Annotation Manuals
Verifiable Mission Planning For Space Operations
Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment
DAG-width and circumference of digraphs
Consensus Tracking Control of Multi-agent Systems with A Time-varying Reference State under Binary-valued Communication
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints
Strong Admissibility for Abstract Dialectical Frameworks
VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering
From Alife Agents to a Kingdom of N Queens
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
The Power of Online Learning in Stochastic Network Optimization
Differentiable Optimization Based Time-Varying Control Barrier Functions for Dynamic Obstacle Avoidance
Composition with Target Constraints
Health system learning achieves generalist neuroimaging models
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments
Inferential or Differential: Privacy Laws Dictate
Principal and Combination Parametric Resonances of an Electromagnetically Suspended Vehicle subject to Base Excitation
Under-determined linear systems and ℓ q -optimization thresholds
Self-overlapping Curves Revisited
Combining learned skills and reinforcement learning for robotic manipulations
SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification
10, 000+ Times Accelerated Robust Subset Selection (ARSS)
Qubit-efficient Variational Quantum Algorithms for Image Segmentation
Multi-fidelity power flow solver
Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills
Federico Castagna, Timotheus Kampik, Atefeh Keshavarzi Zafarghandi, Mickaël Lafages, Jack Mumford, Christos T. Rodosthenous, Samy Sá, Stefan Sarkadi, Joseph Singleton, Kenneth Skiba, Andreas Xydis: Online Handbook of Argumentation for AI: Volume 1
Hybrid Parallel Collaborative Simulation Framework Integrating Device Physics with Circuit Dynamics for PDAE-Modeled Power Electronic Equipment
Robust Deep Semi-Supervised Learning: A Brief Introduction
Sampling-based Path Planning Algorithms: A Survey
The Statistical Analysis of the Live TV Bit Rate
Perceived Performance of Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
A Study on the Security Requirements Analysis to build a Zero Trust-based Remote Work Environment
Automatic Estimation of the Exposure to Lateral Collision in Signalized Intersections using Video Sensors
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Stationarity preserving nodal Finite Element methods for multi-dimensional linear hyperbolic balance laws via a Global Flux quadrature formulation
Swa Bhasha: Message-Based Singlish to Sinhala Transliteration
Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice
Contrastive Separative Coding for Self-supervised Representation Learning
Peer review vs bibliometrics: which method better predicts the scholarly impact of publications?
Task-driven real-world super-resolution of document scans
Fundamental Tradeoff between Storage and Latency in Cache-Aided Wireless Interference Networks
Review of MEMS Speakers for Audio Applications
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
Towards an Efficient Use of the BLAS Library for Multilinear Tensor Contractions
Behind India's ChatGPT Conversations: A Retrospective Analysis of 238 Unedited User Prompts
Analyzing Transformer Dynamics as Movement through Embedding Space
MaTIC: a Mathematical Theory of Inferential Communication
Protocols For Half-Duplex Multiple Relay Networks
Who's Driving? Game Theoretic Path Risk of AGI Development
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences
Back to Basics: Let Denoising Generative Models Denoise
Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders
IntelliExplain: Enhancing Interactive Code Generation through Natural Language Explanations for Non-Professional Programmers
What's in a Proof? Analyzing Expert Proof-Writing Processes in F* and Verus
The day-ahead scenario generation method for new energy based on an improved conditional generative diffusion model
Blockchain for Decentralization of Internet: Prospects, Trends, and Challenges
Ad Hoc Networking With Rate-Limited Infrastructure: Generalized Capacity Scaling
Text-driven 3D Human Generation via Contrastive Preference Optimization
CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
RPM-MCTS: Knowledge-Retrieval as Process Reward Model with Monte Carlo Tree Search for Code Generation
Interplay between musical practices and tuning in the marimba de chonta music
Inserting Faces inside Captions: Image Captioning with Attention Guided Merging
Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers
Melikyan algebra is a deformation of a Poisson algebra
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
On the maximum angle conditions for polyhedra with virtual element methods
Scalable Gaussian process regression enables accurate prediction of protein and small molecule properties with uncertainty quantitation
An Extrinsic Calibration Method of a 3D-LiDAR and a Pose Sensor for Autonomous Driving
Characterizing The Limits of Linear Modeling of Non-Linear Swarm Behaviors
Synthetic Magnetic Resonance Images with Generative Adversarial Networks
Dynamic Ensemble Learning for Credit Scoring: A Comparative Study
A Variable Fixing Heuristic with Local Branching for the Fixed Charge Uncapacitated Network Design Problem with User-optimal Flow
Critical Foreign Policy Decisions (CFPD)-Benchmark: Measuring Diplomatic Preferences in Large Language Models
Gain-Scheduling Data-Enabled Predictive Control for Nonlinear Systems with Linearized Operating Regions
The Koo Dataset: An Indian Microblogging Platform With Global Ambitions
On Communication over Unknown Sparse Frequency-Selective Block-Fading Channels
Fine-scale Surface Normal Estimation using a Single NIR Image
Kalman Filtering with Probabilistic Uncertainty in System Parameters
A transformer-based deep reinforcement learning approach to spatial navigation in a partially observable Morris Water Maze
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence
Enriching continuous Lagrange finite element approximation spaces using neural networks
Learning to Explore by Reinforcement over High-Level Options
Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources
dictNN: A Dictionary-Enhanced CNN Approach for Classifying Hate Speech on Twitter
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Re Learning Memory Guided Normality for Anomaly Detection
Recurrent Neural Networks With Limited Numerical Precision
Plücker Correction Problem: Analysis and Improvements in Efficiency
Syntax diagrams as a formalism for representation of syntactic relations of formal languages
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models
Finding a Fair Scoring Function for Top- k Selection: Hardness, Algorithms, and Experiments
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?
Document-Level Event Extraction with Definition-Driven ICL
On the Stability of Exponential Integrators for Non-Diffusive Equations
BrainPainter v2: Mouse Brain Visualization Software
Quantifying the evolution of harmony and novelty in western classical music
Embedding Planar Graphs into Graphs of Treewidth O(log 3 n)
The Multi-Strand Graph for a PTZ Tracker
Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
Unsupervised prototype learning in an associative-memory network
Model family selection for classification using Neural Decision Trees
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization
Comparing the Accuracy of Deep Neural Networks (DNN) and Convolutional Neural Network (CNN) in Music Genre Recognition (MGR): Experiments on Kurdish Music
Experimental Validation of a Dynamic Equivalent Model for Microgrids
Foundation Models for Recommender Systems: A Survey and New Perspectives
Encoding and Decoding Algorithms for Arbitrary Dimensional Hilbert Order
A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
Network Centralities in Quantum Entanglement Distribution due to User Preferences
Lost in Embeddings: Information Loss in Vision-Language Models
Before Blue Birds Became X-tinct: Understanding the Effect of Regime Change on Twitter's Advertising and Compliance of Advertising Policies
Implicit bias of deep linear networks in the large learning rate phase
On the Approximation Ratio of the k-Opt and Lin-Kernighan Algorithm for Metric TSP
Containing misinformation spreading in temporal social networks
Reasoning about Medical Triage Optimization with Logic Programming
Variational Autoencoding of PDE Inverse Problems
Invariance vs. Robustness of Neural Networks
Gaussian Relay Channel Capacity to Within a Fixed Number of Bits
RadarSFD: Single-Frame Diffusion with Pretrained Priors for Radar Point Clouds
FSampler: Training Free Acceleration of Diffusion Sampling via Epsilon Extrapolation
Convergence of physics-informed neural networks modeling time-harmonic wave fields
RAB 2 -DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients
Safeguarding the Truth of High-Value Price Oracle Task: A Dynamically Adjusted Truth Discovery Method
Kernel Based Cognitive Architecture for Autonomous Agents
Adaptive Model Predictive Control of Wheeled Mobile Robots
Bounding the computational power of bosonic systems
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies