yusuke1997/dblp-id-title huggingface dataset:
Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs
One Size Does not Fit All: When to Use Signature-based Pruning to Improve Template Matching for RDF graphs
Gradient discretization of two-phase poro-mechanical models with discontinuous pressures at matrix fracture interfaces
Better size estimation for sparse matrix products
AIME: AI System Optimization via Multiple LLM Evaluators
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations
Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping
Strong Secrecy in Wireless Network Coding Systems from Structured Interference
Securing State Estimation Under Sensor and Actuator Attacks: Theory and Design
Optimum Reconfigurable Intelligent Surface Selection for Indoor and Outdoor Communications
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization
Integrating IP Broadcasting with Audio Tags: Workflow and Challenges
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data
DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation
A comprehensive taxonomy of hallucinations in Large Language Models
Settling the Randomized k-sever Conjecture on Some Special Metrics
Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting
Estimating Fair Graphs from Graph-Stationary Data
Neighborhood-Order Learning Graph Attention Network for Fake News Detection
A New Framework for Bounding Reachability Probabilities of Continuous-time Stochastic Systems
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design
Guided Deep Reinforcement Learning for Articulated Swimming Robots
Distributed Optimization using Heterogeneous Compute Systems
Partial Model Checking using Networks of Labelled Transition Systems and Boole an Equation Systems
DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Percepts
Local Reasoning about Probabilistic Behaviour for Classical-Quantum Programs
Unsupervised Training of Vision Transformers with Synthetic Negatives
A deep learning approach to identify unhealthy advertisements in street view images
Sampling Method for Generalized Graph Signals with Pre-selected Vertices via DC Optimization
Challenges and Practices in Quantum Software Testing and Debugging: Insights from Practitioners
A New Algorithm for Double Scalar Multiplication over Koblitz Curves
HyperSec: Visual Analytics for blockchain security monitoring
Characterization and definability in modal first-order fragments
Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
Timely Target Tracking in Cognitive Radar Networks
Fast Inference via Hierarchical Speculative Decoding
Constant-Factor Approximation for Ordered k-Median
Quantum Key Distribution Without Sifting
Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models
Shazam: Unifying Multiple Foundation Models for Advanced Computational Pathology
pylspack: Parallel algorithms and data structures for sketching, column subset selection, regression and leverage scores
HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing
It's not easy to relax: liveness in chained BFT protocols
ParaPIF: A Parareal Approach for Parallel-in-Time Integration of Particle-in-Fourier schemes
Deep Learning for Subspace Regression
Analyzing the Mechanism of Attention Collapse in VGGT from a Dynamics Perspective
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks
Estimation of total body fat using symbolic regression and evolutionary algorithms
Distilling Wikipedia mathematical knowledge into neural network models
Communication-aware planning for robot teams deployment
Interactive 3D Medical Image Segmentation with SAM 2
Whether and Where to Code in the Wireless Relay Channel
Can Euroscepticism Contribute to a European Public Sphere? The Europeanization of Media Discourses about Euroscepticism across Six Countries
Set-membership identification of continuous-time MIMO systems via Tustin discretization
Floating-Body Hydrodynamic Neural Networks
Metropolis Monte Carlo sampling: convergence, localization transition and optimality
Integrating Bayesian methods with neural network-based model predictive control: a review
Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning
Semantic Representation of Processes with Ontology Design Patterns
A Temporal Convolutional Network-based Approach for Network Intrusion Detection
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension
Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018)
The CMS Integration Grid Testbed
Testing Convexity of Discrete Sets in High Dimensions
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction
The Simple Chromatic Number of (m, n)-Mixed Graphs
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
Mathematical Foundations in Visualization
Finite-State Channels with Feedback and State Known at the Encoder
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Design of a Framework to Facilitate Decisions Using Information Fusion
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Spatial Autoregressive Coding for Graph Neural Recommendation
A reduced-order framework for temperature estimation in food freezing from optimally located sensors, including turbulent conjugate flow scenarios
Problems and shortcuts in deep learning for screening mammography
Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates
A second-order face-centred finite volume method on general meshes with automatic mesh adaptation
Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning
From Bits to Insights: Exploring Network Traffic, Traffic Matrices, and Heavy-Tailed Data
Comparative Study of ECO and CFNet Trackers in Noisy Environment
Scalable LLM Math Reasoning Acceleration with Low-rank Distillation
Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ
Projected Neural Differential Equations for Learning Constrained Dynamics
A note on the complexity of addition
Towards realistic HPC models of the neuromuscular system
Distributed Parallel D8 Up-Slope Area Calculation in Digital Elevation Models
Cross-Modal Consistency-Guided Active Learning for Affective BCI Systems
NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models
Isogeometric Topology Optimization Based on Topological Derivatives
PSGText: Stroke-Guided Scene Text Editing with PSP Module
Implementation of an Index Optimize Technology for Highly Specialized Terms based on the Phonetic Algorithm Metaphone
Artificial Intelligence and Aesthetic Judgment
Nonmalleable Information Flow: Technical Report
From Speech to Recital - A case of phase transition? A non-linear study
Identifying Financial Risk Information Using RAG with a Contrastive Insight
Centrality in the Global Network of Corporate Control
Learning low-precision neural networks without Straight-Through Estimator(STE)
Optimized Adaptive Streaming Representations based on System Dynamics
A Fully Open-Source End-to-End Private 5G Network over Unlicensed Frequency Bands
Distance, Borders, and Time: The Diffusion and Permeability of Political Violence in North and West Africa
3D Building Model Fitting Using A New Kinetic Framework
A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text
CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients
Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies
A Search Engine for Discovery of Biomedical Challenges and Directions
Voice Activity Detection for Ultrasound-based Silent Speech Interfaces using Convolutional Neural Networks
Outage Performance of Two-Hop OFDM Systems with Spatially Random Decode-and-Forward Relays
Identifying and examining machine learning biases on Adult dataset
MOS-Bench: Benchmarking Generalization Abilities of Subjective Speech Quality Assessment Models
KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics
Machine-Learning Approach to Analyze the Status of Forklift Vehicles with Irregular Movement in a Shipyard
An energy-based coupling approach to nonlocal interface problems
Compiled Obfuscation for Data Structures in Encrypted Computing
Poisson's CDF applied to Flexible Skylines
Six Degree-of-Freedom Localization of Endoscopic Capsule Robots using Recurrent Neural Networks embedded into a Convolutional Neural Network
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization
Online Trajectory Optimization for Rotary-Wing UAVs in Wireless Networks
Predictor-Based Time Delay Control of A Hex-Jet Unmanned Aerial Vehicle
Robust Noisy Correspondence Learning via Self-Drop and Dual-Weight
Techniques for Shared Resource Management in Systems with Throughput Processors
AetherVision-Bench: An Open-Vocabulary RGB-Infrared Benchmark for Multi-Angle Segmentation across Aerial and Ground Perspectives
Learning Robust Recommender from Noisy Implicit Feedback
PAGE: Prompt Augmentation for text Generation Enhancement
Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-Learners Approach
When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space
Deep Convolutional Neural Networks for Noise Detection in ECGs
MMSE Design of RIS-aided Communications
On the complexity of nonnegative matrix factorization
LEI: Livestock Event Information Schema for Enabling Data Sharing
Design of a Multi-User Wireless Powered Communication System Employing Either Active IRS or AF Relay
Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension?
RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation
A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals
The Theoretical Expressiveness of Maxpooling
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
Mobile-Cloud Inference for Collaborative Intelligence
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge
A unified view of Automata-based algorithms for Frequent Episode Discovery
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
Automatic multitrack mixing with a differentiable mixing console of neural audio effects
Scaling Culture in Blockchain Gaming: Generative AI and Pseudonymous Engagement
Scope and Arbitration in Machine Learning Clinical EEG Classification
Revisiting Deep Local Descriptor for Improved Few-Shot Classification
Riemannian optimization on the symplectic Stiefel manifold using second-order information
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
Two-dimensional Spatial Optimization for Electric Motorcycle Powertrain Elements using Mixed-integer Programming
Robotic versus Human Teleoperation for Remote Ultrasound
The Weierstrass root finder is not generally convergent
State-of-the-art SPH solver DualSPHysics: from fluid dynamics to multiphysics problems
Quantum Machine Learning for Optimizing Entanglement Distribution in Quantum Sensor Circuits
A brain basis of dynamical intelligence for AI and computational neuroscience
Effects of eco-driving on energy consumption and battery degradation for electric vehicles at signalized intersections
Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation
Rectified SpaAttn: Revisiting Attention Sparsity for Efficient Video Generation
Graphs Unveiled: Graph Neural Networks and Graph Generation
Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison
Comparative Analysis of Deep Learning Models for Perception in Autonomous Vehicles
Faster Response in Bounded-Update-Rate, Discrete-time Networks using Delayed Self-Reinforcement
Online State Estimation for Systems with Asynchronous Sensors
Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators
Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders
Living in the Physics and Machine Learning Interplay for Earth Observation
Complete Scanning Application Using OpenCv
Is your data low-dimensional?
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors
SpikeSEE: An Energy-Efficient Dynamic Scenes Processing Framework for Retinal Prostheses
Towards Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian Manifolds
A Fast Maximum Clique Algorithm Based on Network Decomposition for Large Sparse Networks
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences
Noncommutative Geometry of Computational Models and Uniformization for Framed Quiver Varieties
Can the Query-based Object Detector Be Designed with Fewer Stages?
Controller-based Energy-Aware Wireless Sensor Network Routing using Quantum Algorithms
Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation
Flight trajectory recreation and playback system of aerial mission based on ossimplanet
Domain Adaptation in LiDAR Semantic Segmentation
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection
Identifying economic narratives in large text corpora - An integrated approach using Large Language Models
Large-scale Supervised Hierarchical Feature Learning for Face Recognition
Engression: Extrapolation for Nonlinear Regression?
Preconditioning without a preconditioner: faster ridge-regression and Gaussian sampling with randomized block Krylov subspace methods
Thresholds for Random Geometric k-SAT
Spanoids - an abstraction of spanning structures, and a barrier for LCCs
Death by AI: Where Assured Autonomy in Smart Cities Meets the End-to-End Argument
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks
Not eXactly Byzantine: Efficient and Resilient TEE-Based State Machine Replication
Revisiting C.S.Peirce's Experiment: 150 Years Later
Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems
ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction from a Single Depth Map
Direct Processing of Run Length Compressed Document Image for Segmentation and Characterization of a Specified Block
Near-Optimal Scheduler Synthesis for LTL with Future Discounting
Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral Mapping
Automated dataset generation for image recognition using the example of taxonomy
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module
GigaCheck: Detecting LLM-generated Content
Analysis and experiments of the dissipative Twistcar: direction reversal and asymptotic approximations
Write, Rank, or Rate: Comparing Methods for Studying Visualization Affordances
Computing persistent homology by spanning trees and critical simplices
Hole Detection and Shape-Free Representation and Double Landmarks Based Geographic Routing in Wireless Sensor Networks
The Fire We Share
Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation
Nonlinear control laws based on linear ones using odd functions
Stochastic optimization approaches to learning concise representations
TartuNLP at EvaLatin 2024: Emotion Polarity Detection
Hyperdimensional Quantum Factorization
LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Pretrained Language Models
A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modeling
Adaptive Matrix Completion for the Users and the Items in Tail
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer
Mapping the Object-Role Modeling language ORM2 into Description Logic language DLRifd
Approximating percentage of academic traffic in the World Wide Web and rankings of countries based on academic traffic
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
Trusted Wireless Monitoring based on Distributed Ledgers over NB-IoT Connectivity
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN
A Forecasting-Based DLP Approach for Data Security
EffMoP: Efficient Motion Planning Based on Heuristic-Guided Motion Primitives Pruning and Path Optimization With Sparse-Banded Structure
Reminding the Incremental Language Model via Data-Free Self-Distillation
Benefiting from Linear Behaviour of a Nonlinear Reset-based Element at Certain Frequencies
Manifold Regularized Deep Neural Networks using Adversarial Examples
Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation
Design of Low Thrust Controlled Maneuvers to Chase and De-orbit the Space Debris
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening
Machine-generated Text Localization
An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap
Toward Precise Curve Offsetting Constrained to Parametric Surfaces
Neighbor displacement-based enhanced synthetic oversampling for multiclass imbalanced data
To Make a Robot Secure: An Experimental Analysis of Cyber Security Threats Against Teleoperated Surgical Robots
HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification
Neural Networks for Programming Quantum Annealers
TALM: Tool Augmented Language Models
Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty
Verified Neural Compressed Sensing
Fair Anomaly Detection For Imbalanced Groups
Comparison communication protocols
Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion
DeContext as Defense: Safe Image Editing in Diffusion Transformers
Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization
The Research Production of Nations and Departments: A Statistical Model for the Share of Publications
Effects of Reward Shaping on Curriculum Learning in Goal Conditioned Tasks
Revisiting Graph Meaning Representations through Decoupling Contextual Representation Learning and Structural Information Propagation
Emergent communication and learning pressures in language models: a language evolution perspective
Globally optimized SVD compression of LLMs via Fermi-function-based rank selection and gauge fixing
Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory
Remember, Retrieve and Generate: Understanding Infinite Visual Concepts as Your Personalized Assistant
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
RLPlanner: Reinforcement Learning based Floorplanning for Chiplets with Fast Thermal Analysis
Informledge System: A Modified Knowledge Network with Autonomous Nodes using Multi-lateral Links
Metadata Shaping: Natural Language Annotations for the Tail
AlphaZero-Edu: Making AlphaZero Accessible to Everyone
Representation Magnitude has a Liability to Privacy Vulnerability
PN-OWL: A Two Stage Algorithm to Learn Fuzzy Concept Inclusions from OWL Ontologies
Field-Programmable Deep Neural Network (DNN) Learning and Inference accelerator: a concept
Exact and Approximation Algorithms for the Domination Problem
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
T-functions revisited: New criteria for bijectivity/transitivity
A Continuous - Time Quantum Walk for Attributed Graphs Matching
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
MOTENS: A Pedagogical Design Model for Serious Cyber Games
IPS300+: a Challenging Multimodal Dataset for Intersection Perception System
Calculating the matrix profile from noisy data
Deep Learning Classification With Noisy Labels
Does Reasoning Help LLM Agents Play Dungeons and Dragons? A Prompt Engineering Experiment
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
Workbook Structure Analysis - "Coping with the Imperfect"
ECIR 2020 Workshops: Assessing the Impact of Going Online
Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations
Distributional Soft Actor-Critic with Diffusion Policy
A Complete Logic for Non-Deterministic Database Transformations
Self-Organised Factorial Encoding of a Toroidal Manifold
A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Action Controlled Paraphrasing
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications
CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting
Efficient Compressed Sensing using Lossless Expander Graphs with Fast Bilateral Quantum Recovery Algorithm
Graphic Realizations of Joint-Degree Matrices
Bridging the visual gap in VLN via semantically richer instructions
Formal Verification of Digital Twins with TLA and Information Leakage Control
Custody Protocols Using Bitcoin Vaults
Training High-Level Schedulers with Execution-Feedback Reinforcement Learning for Long-Horizon GUI Automation
A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks
Physics-embedded Fourier Neural Network for Partial Differential Equations
On morphological hierarchical representations for image processing and spatial data clustering
Fairness Uncertainty Quantification: How certain are you that the model is fair?
Universal Language Model Fine-Tuning with Subword Tokenization for Polish
Understanding Different Design Choices in Training Large Time Series Models
Text2CAD: Text to 3D CAD Generation via Technical Drawings
Proximity: a recipe to break the outbreak
Analyzing Image Beyond Visual Aspect: Image Emotion Classification via Multiple-Affective Captioning