yusuke1997/dblp-id-title huggingface dataset:
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
Variational Flow Models: Flowing in Your Style
Investigation of the efficiency of the moving least squares method in the reconstruction of a three-dimensional surface on a supercomputer
Approach of variable clustering and compression for learning large Bayesian networks
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network
Towards a More Reliable Privacy-preserving Recommender System
Multivariable Gradient-Based Extremum Seeking Control with Saturation Constraints
The Case for Time-Shared Computing Resources
A Dynamic Systems Approach to Modelling Human-Machine Rhythm Interaction
Asymptotic expansion for the Hartman-Watson distribution
DefFiller: Mask-Conditioned Diffusion for Salient Steel Surface Defect Generation
Transformer-based Named Entity Recognition in Construction Supply Chain Risk Management in Australia
MoodCam: Mood Prediction Through Smartphone-Based Facial Affect Analysis in Real-World Settings
Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey
Dynamic Fair Federated Learning Based on Reinforcement Learning
Second-Order Group Influence Functions for Black-Box Predictions
A Systematic Study of the Consistency of Two-Factor Authentication User Journeys on Top-Ranked Websites (Extended Version)
Naming game with learning errors in communications
An Improved Reverse Pinsker Inequality for Probability Distributions on a Finite Set
Scalable Rate Control for Traffic Engineering with Aggregated Flows in Software Defined Networks
Fast Mining of Spatial Frequent Wordset from Social Database
Beam Search for Feature Selection
A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts
Targeted Hardening of Electric Distribution System Components for Enhanced Resilience against Earthquakes
Similar Elements and Metric Labeling on Complete Graphs
Beyond WYSIWYG: Sharing Contextual Sensing Data Through mmWave V2V Communications
Dürfen Maschinen denken (können)? Warum Künstliche Intelligenz eine Ethik braucht. (Are Machines Allowed to (be able to) Think? Why Artificial Intelligence Needs Ethics)
A Multidimensional AI-powered Framework for Analyzing Tourist Perception in Historic Urban Quarters: A Case Study in Shanghai
Sign non-reversal property for totally positive matrices and testing total positivity on their interval hull
Generalized mixed and primal hybrid methods with applications to plate bending
A Markov Chain Model for the Decoding Probability of Sparse Network Coding
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
On the algebraicity of generalized power series
JaTeCS an open-source JAva TExt Categorization System
ProgRoCC: A Progressive Approach to Rough Crowd Counting
Distance Aware Relaying Energy-efficient: DARE to Monitor Patients in Multi-hop Body Area Sensor Networks
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Markerless Visual Robot Programming by Demonstration
A Formalization of the Reversible Concurrent Calculus CCSKP in Beluga
MARTSIA: Safeguarding Data Confidentiality in Blockchain-Driven Process Execution
Dynamic Provenance for SPARQL Update
Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption
Reducing Noise from Competing Neighbours: Word Retrieval with Lateral Inhibition in Multilink
On z-coloring and b * -coloring of graphs as improved variants of the b-coloring
Best practices for machine learning in antibody discovery and development
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval
Search Trees on Trees via LP
An Approach In Optimization Of AD-Hoc Routing Algorithms
Consensus Sequence Segmentation
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
Data-driven control of network systems: Accounting for communication adaptivity and security
Two-Step Sound Source Separation: Training on Learned Latent Targets
Real-time Neonatal Chest Sound Separation using Deep Learning
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
Shape Uncertainty Quantification for Electromagnetic Wave Scattering via First-Order Sparse Boundary Element Approximation
Nested Lattice Codes for Arbitrary Continuous Sources and Channels
Syntactic Conditions for Antichain Property in Consistency Restoring Prolog
Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge
Signal Machine And Cellular Automaton Time-Optimal Quasi-Solutions Of The Firing Squad/Mob Synchronisation Problem On Connected Graphs
FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk
Crowdsourced Databases and Sui Generis Rights
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm
Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
An Efficient FPGA-Based Accelerator for Swin Transformer
Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles using Dubins Set Classification
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Multi-Programming Language Sandbox for LLMs
Improving Uncertainty Calibration via Prior Augmented Data
Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation
Hardness and approximation for the geodetic set problem in some graph classes
Computing the Dirichlet-Multinomial Log-Likelihood Function
Projection Based Weight Normalization for Deep Neural Networks
HoloMine: A Synthetic Dataset for Buried Landmines Recognition using Microwave Holographic Imaging
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking
On Approximability of Block Sorting
Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality
Weighted Encoding Based Image Interpolation With Nonlocal Linear Regression Model
CurviTrack: Curvilinear Trajectory Tracking for High-speed Chase of a USV
Knowledge-Based Sequential Decision-Making Under Uncertainty
Canonical decompositions in monadically stable and bounded shrubdepth graph classes
A Homogeneous Reaction Rule Language for Complex Event Processing
Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback
Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines
Sectoring in Multi-cell Massive MIMO Systems
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging
RigNet: Neural Rigging for Articulated Characters
Phase Aberration Correction without Reference Data: An Adaptive Mixed Loss Deep Learning Approach
PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from Scratch
Generic Inverted Index on the GPU
Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
Simple method for detecting sleep episodes in rats ECoG using machine learning
Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Scalable Decision Making
Teaching signal synchronization in deep neural networks with prospective neurons
Data-driven predictive control with estimated prediction matrices and integral action
Linear Dilation-Erosion Perceptron for Binary Classification
A Comparative Analysis of Techniques and Algorithms for Recognising Sign Language
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
Analysis of the susceptible-infected-susceptible epidemic dynamics in networks via the non-backtracking matrix
Percolation in Interdependent and Interconnected Networks: Abrupt Change from Second to First Order Transition
Automating Exploratory Multiomics Research via Language Models
LatentPoison - Adversarial Attacks On The Latent Space
Efficient Raycasting of View-Dependent Piecewise Constant Representations of Volumetric Data
HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition
Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions
Embedding Knowledge for Document Summarization: A Survey
On Variant Strategies To Solve The Magnitude Least Squares Optimization Problem In Parallel Transmission Pulse Design And Under Strict SAR And Power Constraints
HeadNeRF: A Real-time NeRF-based Parametric Head Model
Deviation Based Pooling Strategies For Full Reference Image Quality Assessment
Task-driven single-image super-resolution reconstruction of document scans
Simulation of wireless dynamic source routing protocol with IP traffic flow analysis, memory efficiency and increased throughput
Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach
Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-antenna Dense Small Cell Networks
Unveiling and Steering Connectome Organization with Interpretable Latent Variables
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Power iteration for matrices with power series entries
Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
Robust Tensor Completion Using Transformed Tensor SVD
A Remeshing Method via Adaptive Multiple Original-Facet-Clipping and Centroidal Voronoi Tessellation
PromID: human promoter prediction by deep learning
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information
Improved Radar Localization on Lidar Maps Using Shared Embedding
Multi-Scale Context Aggregation by Dilated Convolutions
Selfish Algorithm and Emergence of Collective Intelligence
SPARQL over GraphX
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre
Wave scattering in layered orthotropic media I: a stable PML and a high-accuracy boundary integral equation method
Deep Learning-based mitosis detection in breast cancer histologic samples
A Novel Hybrid Ordinal Learning Model with Health Care Application
From Mesh to Neural Nets: A Multi-Method Evaluation of Physics-Informed Neural Networks and Galerkin Finite Element Method for Solving Nonlinear Convection-Reaction-Diffusion Equations
Channel Estimation for Millimeter Wave MIMO-OFDM Systems via Low-Rank Tensor Decomposition
Reddit's Self-Organized Bull Runs
Introducing multiverse analysis to bibliometrics: The case of team size effects on disruptive research
Circle Graph Recognition in Time O(n+m) α(n+m)
Zoom-In to Sort AI-Generated Images Out
Assessing Economic Viability: A Comparative Analysis of Total Cost of Ownership for Domain-Adapted Large Language Models versus State-of-the-art Counterparts in Chip Design Coding Assistance
Bifurcation Logic: Separation Through Ordering
Implementing Fair Regression In The Real World
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detection
Inferring stochastic dynamics with growth from cross-sectional data
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading
Tackling the Problem of Limited Data and Annotations in Semantic Segmentation
Knowledge Representation in Bicategories of Relations
Robust Optical Flow Estimation in Rainy Scenes
Lightweight 3D Gaussian Splatting Compression via Video Codec
Co-KV: A Collaborative Key-Value Store Using Near-Data Processing to Improve Compaction for the LSM-tree
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Learning Robust and Correct Controllers Guided by Feasibility-Aware Signal Temporal Logic via BarrierNet
Automated Detection of Antarctic Benthic Organisms in High-Resolution In Situ Imagery to Aid Biodiversity Monitoring
Testable algorithms for approximately counting edges and triangles in sublinear time and space
Procrustes Wasserstein Metric: A Modified Benamou-Brenier Approach with Applications to Latent Gaussian Distributions
Explainable Semantic Mapping for First Responders
Blockchains for Spectrum Management in Wireless Networks: A Survey
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
Exploring XAI for the Arts: Explaining Latent Space in Generative Music
Right-sizing compute resource allocations for bioinformatics tools with Total Perspective Vortex
Micro-controllers: Promoting Structurally Flexible Controllers in Self-Adaptive Software Systems
Hierarchically Fair Federated Learning
Task-based adaptive multiresolution for time-space multi-scale reaction-diffusion systems on multi-core architectures
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
Machine Learning Based Compensation for Inconsistencies in Knitted Force Sensors
One Look is Enough: A Novel Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation Models on High-Resolution Images
Non-Hermitian Bose-Hubbard-like quantum models
Numerical analysis of Givens rotation
FAPM: Fast Adaptive Patch Memory for Real-time Industrial Anomaly Detection
Social coordination perpetuates stereotypic expectations and behaviors across generations in deep multi-agent reinforcement learning
Mutually Testing Processes
Proposition d'un modèle pour l'optimisation automatique de boucles dans le compilateur Tiramisu : cas d'optimisation de déroulage
Automatic Product Ontology Extraction from Textual Reviews
CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data
Conceptual Framework of Redundant Link Aggregation
JPEG-Inspired Cloud-Edge Holography
TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
A Method for Solving Cyclic Block Penta-diagonal Systems of Linear Equations
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
Context Proposals for Saliency Detection
Robot to Human Object Handover using Vision and Joint Torque Sensor Modalities
Differential and integral invariants under Mobius transformation
RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
Self-organized Hierarchical Softmax
Ensemble CNNs for Breast Tumor Classification
AFS: An Attention-based mechanism for Supervised Feature Selection
A review on Deep Neural Network for Computer Network Traffic Classification
ConceptExplorer: Visual Analysis of Concept Driftsin Multi-source Time-series Data
Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation
Data-Driven Diagnostics of Mechanism and Source of Sustained Oscillations
Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement
Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic Comments
Automata for Enriched Trees and Applications
Deciphering the unique dynamic activation pathway in a G protein-coupled receptor enables unveiling biased signaling and identifying cryptic allosteric sites in conformational intermediates
Multiwinner Voting with Interval Preferences under Incomplete Information
Failure Analysis in Next-Generation Critical Cellular Communication Infrastructures
A Continent-Wide Assessment of Cyber Vulnerability Across Africa
Using Taxonomies to Facilitate the Analysis of the Association Rules
On zero-rate error exponent for BSC with noisy feedback
An Exploratory Study of COVID-19 Misinformation on Twitter
Group Theoretical Formulation of Quantum Partial Search Algorithm
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Concept-based Analysis of Neural Networks via Vision-Language Models
Geometry of martensite needles in shape memory alloys
A Unified Framework for Simultaneous Input and State Estimation of Linear Discrete-time Stochastic Systems
Rolling Lookahead Learning for Optimal Classification Trees
How URLLC can Benefit from NOMA-based Retransmissions
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization
Baichuan 2: Open Large-scale Language Models
Local optimisation of Nyström samples through stochastic gradient descent
Forman-Ricci curvature and Persistent homology of unweighted complex networks
Link Prediction via Graph Attention Network
Enhancing Traffic Safety Analysis with Digital Twin Technology: Integrating Vehicle Dynamics and Environmental Factors into Microscopic Traffic Simulation
Weighing the Milky Way and Andromeda with Artificial Intelligence
Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
A Review of Machine Learning Applications in Fuzzing
Knowledge-Guided Exploration in Deep Reinforcement Learning
3D Scene Change Modeling With Consistent Multi-View Aggregation
Generalization Error Bounds for Learning under Censored Feedback
Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR
RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting
Local Reactive Control for Mobile Manipulators with Whole-Body Safety in Complex Environments
Beyond the Manual Touch: Situational-aware Force Control for Increased Safety in Robot-assisted Skullbase Surgery
Measure Theoretic Weighted Model Integration
RDD2022: A multi-national image dataset for automatic Road Damage Detection
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
Hive Hash Table: A Warp-Cooperative, Dynamically Resizable Hash Table for GPUs
A Use Case: Reformulating Query Rewriting as a Statistical Machine Translation Problem
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
Lower Bounds on Circuit Depth of the Quantum Approximate Optimization Algorithm
Unsourced Random Access with the MIMO Receiver: Projection Decoding Analysis
Shapelet-Based Counterfactual Explanations for Multivariate Time Series
DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt Artbank
HyPE: Attention with Hyperbolic Biases for Relative Positional Encoding
Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate
Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions
Optimization approaches for the design and operation of open-loop shallow geothermal systems
Optimal bounds for ℓ p sensitivity sampling via ℓ 2 augmentation
A Dual-Axis Taxonomy of Knowledge Editing for LLMs: From Mechanisms to Functions
Personalized Item Representations in Federated Multimodal Recommendation
Dempster's Rule for Evidence Ordered in a Complete Directed Acyclic Graph
Results on the solutions of maximum weighted Renyi entropy problems
Quadratic models for understanding neural network dynamics
Comparison Graphs: a Unified Method for Uniformity Testing
Feature CAM: Interpretable AI in Image Classification
Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
On Design and Implementation of the Distributed Modular Audio Recognition Framework: Requirements and Specification Design Document
Design and Optimisation of High-Speed Receivers for 6G Optical Wireless Networks
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors
Imitation learning of motor primitives and language bootstrapping in robots
Perspectives and solutions towards intelligent ambient assisted living systems
Deep Learning-based Universal Beamformer for Ultrasound Imaging
CoGen: 3D Consistent Video Generation via Adaptive Conditioning for Autonomous Driving
Poisoned classifiers are not only backdoored, they are fundamentally broken
Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias
Across-Task Neural Architecture Search via Meta Learning
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning
Leader-Follower Formation Control of Perturbed Nonholonomic Agents along Parametric Curves with Directed Communication
Joint Speed Control and Energy Replenishment Optimization for UAV-assisted IoT Data Collection with Deep Reinforcement Transfer Learning
Improving Noise Robustness through Abstractions and its Impact on Machine Learning
Order conditions for Runge-Kutta-like methods with solution-dependent coefficients
Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
GAN based ball screw drive picture database enlargement for failure classification
Performance Analysis of Multi-Angle QAOA for p > 1
Enhancing Optimization Performance: A Novel Hybridization of Gaussian Crunching Search and Powell's Method for Derivative-Free Optimization
Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks
Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks
Identifying Core-Periphery Structures in Networks via Artificial Ants
Analyzing Gait Adaptation with Hemiplegia Simulation Suits and Digital Twins
Scheduling Chained Multiprocessor Tasks onto Large Multiprocessor System
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model
MPAI-EEV: Standardization Efforts of Artificial Intelligence based End-to-End Video Coding
Factors Hindering the Adoption of DevOps in the Saudi Software Industry
Empowering Elasticsearch with Exact and Fast $r$-Neighbor Search in Hamming Space
Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing
Inference on Auctions with Weak Assumptions on Information
Investigation of Frame Differences as Motion Cues for Video Object Segmentation
Learning Generalized Spoof Cues for Face Anti-spoofing
Predictable LLM Serving on GPU Clusters
One2set + Large Language Model: Best Partners for Keyphrase Generation
Towards a unified query language for provenance and versioning
Betting and Belief: Prediction Markets and Attribution of Climate Change
Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems
At Least Tell Me: User Attitudes Toward the Inspection of Encrypted Traffic
Distributionally Robust Cascading Risk in Multi-Agent Rendezvous: Extended Analysis of Parameter-Induced Ambiguity
Open Source and Sustainability: the Role of Universities
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification
Multiport Network Modeling for Reconfigurable Intelligent Surfaces: Numerical Validation with a Full-Wave PEEC Simulator
Reforming research funding: Combining editorial preregistration with grant peer review
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
On the Stability of Datatic Control Systems
The phase transition in inhomogeneous random intersection graphs
Scalable Causal Transfer Learning
Node-wise monotone barrier coupling law for central pattern generation