yusuke1997/dblp-id-title huggingface dataset:
Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models
Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds
Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review
Non-Asymptotic Analysis of (Sticky) Track-and-Stop
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
Offline-online approximation of multiscale eigenvalue problems with random defects
Stereo-based terrain traversability analysis using normal-based segmentation and superpixel surface analysis
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge
Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width
COOK Access Control on an embedded Volta GPU
Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning
Continuous Time Gathering of Agents with Limited Visibility and Bearing-Only Sensing
Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification
Multi-model Ensemble Learning Method for Human Expression Recognition
Highlight & Summarize: RAG without the jailbreaks
The Ambient Networks Heterogeneous Access Selection Architecture
WrappingNet: Mesh Autoencoder via Deep Sphere Deformation
A Probabilistic Proof of the nCPA to CCA Bound
Max-margin Metric Learning for Speaker Recognition
Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints
Impact of the Inflation Reduction Act and Carbon Capture on Transportation Electrification for a Net-Zero Western U.S. Grid
The Complexity of Computing a Cardinality Repair for Functional Dependencies
Cascading Denoising Auto-Encoder as a Deep Directed Generative Model
Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Land Cover Classification
Universality for Sets of Three-Valued Qubit Gates
Big Tech Companies Impact on Research at the Faculty of Information Technology and Electrical Engineering
On a Generalization of the Christoffel Tree: Epichristoffel Trees
Feedback Motion Planning for Liquid Transfer using Supervised Learning
On the Sample Complexity of Learning with Geometric Stability
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation
Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation
Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting
Insights from Railway Professionals: Rethinking Railway assumptions regarding safety and autonomy
Improved SINR Approximation for Downlink SDMA-based Networks with Outdated Channel State Information
A quantum protocol for sampling correlated equilibria unconditionally and without a mediator
Detecting Perspective Shifts in Multi-agent Systems
Monotonically relaxing concurrent data-structure semantics for performance: An efficient 2D design framework
Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey
Adaptive time step control for infinitesimal multirate methods
Distillation of a tractable model from the VQ-VAE
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction
Integrating Feature Attention and Temporal Modeling for Collaborative Financial Risk Assessment
IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex Decomposition
Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting
Randomized Quasi-Monte Carlo with Importance Sampling for Functions under Generalized Growth Conditions and Its Applications in Finance
Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks
Voice Quality and Pitch Features in Transformer-Based Speech Recognition
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
Logical Data Independence in the 21st Century - Co-Existing Schema Versions with InVerDa
DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows
On the Fly Self-Organized Base Station Placement
Expanding the class of global objective functions for dissimilarity-based hierarchical clustering
Pushing the Limits of ChatGPT on NLP Tasks
A Bound on the Sum of Weighted Pairwise Distances of Points Constrained to Balls
Coloring Grids Avoiding Bicolored Paths
Pauli Decomposition of Impedance Matrices for Understanding the Root Cause of Instabilities in Grid-Connected Power Electronic Converters
A Conventional Expansion of First-Order Belnap-Dunn Logic
Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation
Demographic Dynamics and Artificial Intelligence: Challenges and Opportunities in Europe and Africa for 2050
Hardness of Peeling with Stashes
Deep Learning-Based Visual Fatigue Detection Using Eye Gaze Patterns in VR
TEXT2DB: Integration-Aware Information Extraction with Large Language Model Agents
Efficient OWL2QL Meta-reasoning Using ASP-based Hybrid Knowledge Bases
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
Grading video interviews with fairness considerations
Inside Job: Diagnosing Bluetooth Lower Layers Using Off-the-Shelf Devices
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation
Multiple Flat Projections for Cross-manifold Clustering
Utilizing Multi-Agent Reinforcement Learning with Encoder-Decoder Architecture Agents to Identify Optimal Resection Location in Glioblastoma Multiforme Patients
A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts
Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Science
Generative Locally Linear Embedding
Living Globe: Tridimensional interactive visualization of world demographic data
Confidence Bands and Hypothesis Test Methods for Recall and Precision Curves at Extremely Small Fractions with Applications to Drug Discovery
A novel hash based least significant bit (2-3-3) image steganography in spatial domain
Antenna Grouping based Feedback Reduction for FDD-based Massive MIMO Systems
Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labeling
MONET - Virtual Cell Painting of Brightfield Images and Time Lapses Using Reference Consistent Diffusion
DySTop
Deep Learning-Based Automated Segmentation of Uterine Myomas
Point or Generate Dialogue State Tracker
Importance-Aware Adaptive Dataset Distillation
RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio
Decentralized Attack Search and the Design of Bug Bounty Schemes
Kairos: Towards Adaptive and Generalizable Time Series Foundation Models
Achieving algorithmic resilience for temporal integration through spectral deferred corrections
On thermodynamically compatible finite volume schemes for continuum mechanics
Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features
How to sample connected K-partitions of a graph
Multi-models with averaging in feature domain for non-invasive blood glucose estimation
BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
Parallelizable global conformal parameterization of simply-connected surfaces via partial welding
End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images
MonoNet: Towards Interpretable Models by Learning Monotonic Features
Coalition Game based Full-duplex Concurrent Scheduling in Millimeter Wave Wireless Backhaul Network
Computational Complexity of the Recoverable Robust Shortest Path Problem with Discrete Recourse
Cryogenic Characterization of Low-Frequency Noise in 40-nm CMOS
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)
Opening the AI black box: program synthesis via mechanistic interpretability
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
On Multi-rate Sequential Data Transmission
Regular access to constantly renewed online content favors radicalization of opinions
Equi-coverage Contours in Cellular Networks
ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
Mechanistic Anomaly Detection for "Quirky" Language Models
Characterizing Twitter Interaction during COVID-19 pandemic using Complex Networks and Text Mining
Deterministically approximating the volume of a Kostka polytope
Synergistic Signal Denoising for Multimodal Time Series of Structure Vibration
Coverage Analysis and Optimization of FIRES-Assisted NOMA and OMA Systems
ROAM: memory-efficient large DNN training via optimized operator ordering and memory layout
Alive publication
On Defining Neural Averaging
On the Capacity of Diffusion-Based Molecular Communications with SiNW FET-Based Receiver
Efficient Visual Coding: From Retina To V2
Automated Flow Pattern Classification in Multi-phase Systems Using AI and Capacitance Sensing Techniques
Non-Hamiltonian Holes in Grid Graphs
Ontological analysis of proactive life event services
Neuro-Adaptive Boundary Force Control of Dual One-Link Flexible Arms with Unmodeled Dynamics and Input Constraints
High Quality Monocular Depth Estimation via Transfer Learning
Improving ML Training Data with Gold-Standard Quality Metrics
Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing
Let's Make a Difference!
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing
Transferability of Neural Network-based De-identification Systems
Some problems about co-consonance of topological spaces
Nonnegative Trigonometric Polynomials, Sturms Theorem, and Symbolic Computation
A Riemannian rank-adaptive method for higher-order tensor completion in the tensor-train format
Navigation with shadow prices to optimize multi-commodity flow rates
VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks
Harnessing Rich Multi-Modal Data for Spatial-Temporal Homophily-Embedded Graph Learning Across Domains and Localities
How Do Developers Structure Unit Test Cases? An Empirical Study from the "AAA" Perspective
AI Harmonizer: Expanding Vocal Expression with a Generative Neurosymbolic Music AI System
Interacting Multiple Model-based Joint Homography Matrix and Multiple Object State Estimation
Assessing Practitioner Beliefs
From Pixels to Prose: A Large Dataset of Dense Image Captions
Modelling the Impact of Quantum Circuit Imperfections on Networks and Computer Applications
Transmission Mode Selection for Downlink Coordinated Multi-Point Systems
IMPaCT: Interval MDP Parallel Construction for Controller Synthesis of Large-Scale Stochastic Systems
Navigating Equity and Reflexive Practices in Gigwork Design: A Journey Mapping Experience
Adaptive Graph Diffusion Networks with Hop-wise Attention
ProbDiffFlow: An Efficient Learning-Free Framework for Probabilistic Single-Image Optical Flow Estimation
From Time Series to Networks in R with the ts2net Package
Beyond the Visible: Benchmarking Occlusion Perception in Multimodal Large Language Models
A Common Interface for Automatic Differentiation
Foundation Model Driven Robotics: A Comprehensive Review
Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM
Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2
Raster Forge: Interactive Raster Manipulation Library and GUI for Python
Does the Internet deserve everybody?
Adaptive Mesh Refinement for arbitrary initial Triangulations
A Case Report On The "A.I. Locked-In Problem": social concerns with modern NLP
Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence
Adding Indoor Capacity Without Fiber Backhaul: A mmWave Bridge Prototype
Community detection and anomaly prediction in dynamic networks
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
Synchronization from Deletions Through Interactive Communication
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities
Joint Memory Frequency and Computing Frequency Scaling for Energy-efficient DNN Inference
In-Context Instruction Learning
Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization
Synthetic Tumor Manipulation: With Radiomics Features
Animal Re-Identification on Microcontrollers
Automated Fabric Defect Inspection: A Survey of Classifiers
The numerical linear algebra of weights: from the spectral analysis to conditioning and preconditioning in the Laplacian case
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles
Tensor GMRES and Golub-Kahan Bidiagonalization methods via the Einstein product with applications to image and video processing
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD)
DMT-optimal, Low ML-Complexity STBC-Schemes for Asymmetric MIMO Systems
Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
Identifying Vulnerability Patches by Comprehending Code Commits with Comprehensive Change Contexts
Pruning Convolutional Neural Networks with Self-Supervision
Virtual Blood Vessels in Complex Background using Stereo X-ray Images
AURA: A Fine-Grained Benchmark and Decomposed Metric for Audio-Visual Reasoning
Neighborhood Disparities in Smart City Service Adoption
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
MADRA: Multi-Agent Debate for Risk-Aware Embodied Planning
One Simple Trick to Fix Your Bayesian Neural Network
HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance
VF-Plan: Bridging the Art Gallery Problem and Static LiDAR Scanning with Visibility Field Optimization
A Still Simpler Way of Introducing the Interior-Point Method for Linear Programming
Network Coding-based Caching in Large-Scale SIC-Enabled Wireless Networks
Resurrecting the Salmon: Rethinking Mechanistic Interpretability with Domain-Specific Sparse Autoencoders
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
HaloGS: Loose Coupling of Compact Geometry and Gaussian Splats for 3D Scenes
Minimal positive stencils in meshfree finite difference methods for linear elliptic equations in non-divergence form
Efficient Multi-Person Pose Estimation with Provable Guarantees
Maximum Entropy MIMO Wireless Channel Models
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
Robust Short-term Operation of AC Power Network with Injection Uncertainties
PBI: Position-Based Dynamics Handles Updated Lagrangian Inelasticity
Biomedical Image Splicing Detection using Uncertainty-Guided Refinement
Robust Suboptimal Local Basis Function Algorithms for Identification of Nonstationary FIR Systems in Impulsive Noise Environments
Density Modeling of Images using a Generalized Normalization Transformation
Unfitted finite element methods for axisymmetric two-phase flow
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images
Mathematics of Domains
A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States
A Fully Sparse Implementation of a Primal-Dual Interior-Point Potential Reduction Method for Semidefinite Programming
Routing Protocols for Mobile and Vehicular Ad-Hoc Networks: A Comparative Analysis
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Pedagogical Design Considerations for Mobile Augmented Reality Serious Games (MARSGs): A Literature Review
A Game Theoretic Analysis for Energy Efficient Heterogeneous Networks
Deep Neural Networks via Complex Network Theory: a Perspective
OmniVLM: A Token-Compressed, Sub-Billion-Parameter Vision-Language Model for Efficient On-Device Inference
Characterization of Transfer Using Multi-task Learning Curves
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
BERTO: an Adaptive BERT-based Network Time Series Predictor with Operator Preferences in Natural Language
Guideline for Manual Process Discovery in Industrial IoT
Nonlinear System Identification and Behavioral Modeling
Exploring Families' Use and Mediation of Generative AI: A Multi-User Perspective
LLM-as-a-Judge for Reference-less Automatic Code Validation and Refinement for Natural Language to Bash in IT Automation
S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning
Learning to Schedule Deadline- and Operator-Sensitive Tasks
Enabling automated driving by ICT infrastructure: A reference architecture
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability
CRT and Fixed Patterns in Combinatorial Sequences
Integrated Sensing and Communications: A Mutual Information-Based Framework
Diagonalization of Polynomial-Time Turing Machines Via Nondeterministic Turing Machine
Study of Joint Automatic Gain Control and MMSE Receiver Design Techniques for Quantized Multiuser Multiple-Antenna Systems
The modular technology of development of the CAD expansions: profiles of outside networks of water supply and water drain
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification
Language modeling with Neural trans-dimensional random fields
A Low-Rank Approach to Off-The-Grid Sparse Deconvolution
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
AutoWeird: Weird Translational Scoring Function Identified by Random Search
Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation
Regret Analysis of the Anytime Optimally Confident UCB Algorithm
RF-PUF: IoT Security Enhancement through Authentication of Wireless Nodes using In-situ Machine Learning
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
LLM-Guided Probabilistic Fusion for Label-Efficient Document Layout Analysis
Rethinking Thinking Tokens: LLMs as Improvement Operators
Resilient Mobile Energy Storage Resources Based Distribution Network Restoration in Interdependent Power-Transportation-Information Networks
An interpretable prediction model for longitudinal dispersion coefficient in natural streams based on evolutionary symbolic regression network
Short Note on Complexity of Multi-Value Byzantine Agreement
Control Prefixes for Text Generation
Activation Density driven Energy-Efficient Pruning in Training
Iterative-Promoting Variable Step Size Least Mean Square Algorithm for Accelerating Adaptive Channel Estimation
Cost-reduction implicit exponential Runge-Kutta methods for highly oscillatory systems
Partitioned Exponential Methods for Coupled Multiphysics Systems
Statistical inference using SGD
MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs
Higher-Order Equational Pattern Anti-Unification [Preprint]
Towards Identifiability of Interventional Stochastic Differential Equations
AMGC: Adaptive match-based genomic compression algorithm
A class of punctured simplex codes which are proper for error detection
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
On interval edge-colorings of outerplanar graphs
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
Arrays of (locality-sensitive) Count Estimators (ACE): High-Speed Anomaly Detection via Cache Lookups
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning
Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly Training for 4D Reconstruction
The model is the message: Lightweight convolutional autoencoders applied to noisy imaging data for planetary science and astrobiology
Track Seeding and Labelling with Embedded-space Graph Neural Networks
Multitemporal SAR images change detection and visualization using RABASAR and simplified GLR
Non-associative and projective linear logics
Harnessing Temporal Causality for Advanced Temporal Action Detection
Group Communication Over LTE : A Radio Access Perspective
Graphic TSP in cubic graphs
Customized OCT images compression scheme with deep neural network
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations
Grid-based Localization Stack for Inspection Drones towards Automation of Large Scale Warehouse Systems
Uplink and Downlink MIMO-NOMA with Simultaneous Triangularization
Semantics out of context: nominal absolute denotations for first-order logic and computation
Two-stage coding over the Z-channel
Evaluating Generative Patent Language Models
Deployment of long distance multi-moving robots for underground pipe inspection
Joint learning of interpretation and distillation
HistoSPACE: Histology-Inspired Spatial Transcriptome Prediction And Characterization Engine
FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers
A Simple and Reliable Touch Sensitive Security System
ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies
Incorporating AI Incident Reporting into Telecommunications Law and Policy: Insights from India
Multi-robot task allocation for safe planning under dynamic uncertainties
Bounding Neyman-Pearson Region with f -Divergences
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
The Commutativity Quotients of Concurrent Objects
A Generalized Hybrid Real-Coded Quantum Evolutionary Algorithm Based on Particle Swarm Theory with Arithmetic Crossover
Network Service Orchestration: A Survey
Diet deep generative audio models with structured lottery
Scaling the time and Fourier domains to align periodically and their convolution
Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation
Refuting Feder, Kinne and Rafiey
Robust photon-efficient imaging using a pixel-wise residual shrinkage network
Arc-Consistency computes the minimal binarised domains of an STP. Use of the result in a TCSP solver, in a TCSP-based job shop scheduler, and in generalising Dijkstra's one-to-all algorithm
A New Approach to Cold Start in Peer to Peer File Sharing Networks
Gene-Patterns: Should Architecture be Customized for Each Application?
AMUSE: Adaptive Model Updating using a Simulated Environment
Adapting Stereo Vision From Objects To 3D Lunar Surface Reconstruction with the StereoLunar Dataset
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
Bio-Generative Design Morphology with Radiolaria: An application of a Nature-Based Generative Shape Grammar for Geometrical Design of Space Frames
Recent advances in data-driven methods for degradation modelling across applications
Asymptotic analysis of shallow and deep forgetting in replay with Neural Collapse
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks
Language-Independent Representor for Neural Machine Translation
STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes