yusuke1997/dblp-id-title huggingface dataset:
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG)
The "given data" paradigm undermines both cultures
Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
A Survey of Protocols and Open Issues in ATM Multipoint Communication
Generating representative macrobenchmark microservice systems from distributed traces with Palette
Ensemble Machine Learning Methods for Modeling COVID19 Deaths
Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing
Contact-based Grasp Control and Inverse Kinematics for a Five-fingered Robotic Hand
Resource-Efficient Federated Learning
Evolved SampleWeights for Bias Mitigation: Effectiveness Depends on Optimization Objectives
L-MoE: End-to-End Training of a Lightweight Mixture of Low-Rank Adaptation Experts
Nonmonotonic Reasoning as a Temporal Activity
Detecting subtle macroscopic changes in a finite temperature classical scalar field with machine learning
Kernel Wasserstein Distance
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss
SCoPE: Evaluating LLMs for Software Vulnerability Detection
Atys: An Efficient Profiling Framework for Identifying Hotspot Functions in Large-scale Cloud Microservices
Graph-based Joint Signal / Power Restoration for Energy Harvesting Wireless Sensor Networks
Speculation on graph computation architectures and computing via synchronization
Static Gesture Recognition using Leap Motion
Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation
List-coloring apex-minor-free graphs
A New Adaptive Video SRR Algorithm With Improved Robustness to Innovations
Practical Lessons on Optimizing Sponsored Products in eCommerce
Deep Learning is Robust to Massive Label Noise
The Probabilistic Hitting Set Paradigm: a General Framework for Search and Detection in Dynamic Social Networks
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track
Dyadic Interaction Modeling for Social Behavior Generation
LaViRA: Language-Vision-Robot Actions Translation for Zero-Shot Vision Language Navigation in Continuous Environments
Finding Supporting Examples for In-Context Learning
There are More Fish in the Sea: Automated Vulnerability Repair via Binary Templates
Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression
2D discrete Yang-Mills equations on the torus
Exploring the Vision Processing Unit as Co-processor for Inference
An Enhanced Shifted QR Algorithm for Efficient Eigenvalue Computation of Square Non-Hermitian Matrices
Perceptions of Edinburgh: Capturing Neighbourhood Characteristics by Clustering Geoparsed Local News
The Dynamics of Exchanges and References among Scientific Texts, and the Autopoiesis of Discursive Knowledge
Lossless Coding of Point Cloud Geometry using a Deep Generative Model
A topic-aware graph neural network model for knowledge base updating
Wireless Technologies for Agricultural Monitoring using Internet of Things Devices with Energy Harvesting Capabilities
Identifying Malicious Players in GWAP-based Disaster Monitoring Crowdsourcing System
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Joint Analysis of Acoustic Event and Scene Based on Multitask Learning
Zero-Knowledge for QMA from Locally Simulatable Proofs
SCGDet: Malware Detection using Semantic Features Based on Reachability Relation
Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation Facilities
MOCCA: Multi-Layer One-Class Classification for Anomaly Detection
GatedUniPose: A Novel Approach for Pose Estimation Combining UniRepLKNet and Gated Convolution
On Bellman's Optimality Principle for zs-POSGs
Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
A debiasing technique for place-based algorithmic patrol management
Coding for Optical Communications - Can We Approach the Shannon Limit With Low Complexity?
Enhancing the STIX Representation of MITRE ATT&CK for Group Filtering and Technique Prioritization
BAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex
On the optimization of discrepancy measures
How Morphological Computation shapes Integrated Information in Embodied Agents
Effects of term weighting approach with and without stop words removing on Arabic text classification
Evaluation of motion comfort using advanced active human body models and efficient simplified models
Integrated Structure and Semantics for Reo Connectors and Petri Nets
Resilient Distribution Network Planning against Dynamic Malicious Power Injection Attacks
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation
Space evaluation based on pitch control using drone video in Ultimate
CoAR: Concept Injection into Autoregressive Models for Personalized Text-to-Image Generation
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
Robust two-stage combinatorial optimization problems under convex uncertainty
Beyond the Script: Testing LLMs for Authentic Patient Communication Styles in Healthcare
Spectral analysis for non-stationary audio
Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization
On entropies of block-gluing subshifts
Colliding Message Pairs for 23 and 24-step SHA-512
Minfer: Inferring Motif Statistics From Sampled Edges
Federated Fuzzy Neural Network with Evolutionary Rule Learning
Latent geometry of bipartite networks
Unsupervised Machine Learning for Explainable Medicare Fraud Detection
On how Cognitive Computing will plan your next Systematic Review
Zone Theorem for Arrangements in three dimensions
LMMCoDrive: Cooperative Driving with Large Multimodal Model
The Cayley-Dickson Construction in ACL2
FireRescue: A UAV-Based Dataset and Enhanced YOLO Model for Object Detection in Fire Rescue Scenes
Learning Fair Models without Sensitive Attributes: A Generative Approach
Operator inference for non-intrusive model reduction with nonlinear manifolds
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
On the fractional transversely isotropic functionally graded nature of soft biological tissues
Two Methods for Decreasing the Computational Complexity of the MIMO ML Decoder
Modeling tax distribution in metropolitan regions with PolicySpace
Iniva: Inclusive and Incentive-compatible Vote Aggregation
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer
Robotic Sculpting with Collision-free Motion Planning in Voxel Space
Phrase-Verified Voting: Verifiable Low-Tech Remote Boardroom Voting
FinCap: Topic-Aligned Captions for Short-Form Financial YouTube Videos
Routing Algorithms
Adjusted Count Quantification Learning on Graphs
DC Decomposition of Nonconvex Polynomials with Algebraic Techniques
UstanceBR: a multimodal language resource for stance prediction
Measuring Semantic Relatedness using Mined Semantic Analysis
Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration
2D Eigenvalue Problems I: Existence and Number of Solutions
An eigenanalysis of data centering in machine learning
Hidden Positivity and a New Approach to Numerical Computation of Hausdorff Dimension: Higher Order Methods
Data-aided Underwater Acoustic Ray Propagation Modeling
On insertion-deletion systems over relational words
Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation
A framework for overparameterized learning
An Alignment-Based Approach to Learning Motions from Demonstrations
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images
Differentiable Robot Neural Distance Function for Adaptive Grasp Synthesis on a Unified Robotic Arm-Hand System
On the Accessibility and Controllability of Statistical Linearization for Stochastic Control: Algebraic Rank Conditions and their Genericity
The Optimality of AIFV Codes in the Class of 2-bit Delay Decodable Codes
Wireless Network Design Under Service Constraints
Fully discrete finite element methods for the stochastic Kuramoto-Sivashinsky equation with multiplicative noise
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer
Can Robotic Cues Manipulate Human Decisions? Exploring Consensus Building via Bias-Controlled Non-linear Opinion Dynamics and Robotic Eye Gaze Mediated Interaction in Human-Robot Teaming
A Comparative Study on Frequency-Constrained Unit Commitment Approaches in Island Power Systems
Trajectory Entropy Reinforcement Learning for Predictable and Robust Control
Movable Antenna Aided Full-Duplex ISAC System with Self-Interference Mitigation
Automatic feature learning for vulnerability prediction
LGR: LLM-Guided Ranking of Frontiers for Object Goal Navigation
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AI
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination
Digital Epidemiology: Leveraging Social Media for Insight into Epilepsy and Mental Health
Speech Vecalign: an Embedding-based Method for Aligning Parallel Speech Documents
Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications
Online variable-weight scheduling with preempting on jobs with linear and exponential penalties
Guidelines for Gaze-based Neural Preliminary Diagnosis
Enhancing Burmese News Classification with Kolmogorov-Arnold Network Head Fine-tuning
Specialized Support Vector Machines for open-set recognition
Deep Normed Embeddings for Patient Representation
KL-Regularized Reinforcement Learning is Designed to Mode Collapse
Concurrent and Scalable Trajectory Optimization for Manufacturing with Redundant Robots
Language comparison via network topology
FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration
Efficient Radiation Treatment Planning based on Voxel Importance
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles
Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signal
Towards identifying Source credibility on Information Leakage in Digital Gadget Market
Discrete Bayesian Sample Inference for Graph Generation
Multi-layer weighted social network model
H-Matrix Accelerated Direct Matrix Solver using Chebyshev-based Nyström Boundary Integral Equation Method
Balanced Boolean functions that can be evaluated so that every input bit is unlikely to be read
Implementing Linear Combination of Unitaries on Intermediate-term Quantum Computers
Quantifying Dismantlement in Disconnected Networks
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models
Qwen it detect machine-generated text?
Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning
Generating Completions for Fragmented Broca's Aphasic Sentences Using Large Language Models
Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning
FSMODNet: A Closer Look at Few-Shot Detection in Multispectral Data
Universal Algorithms for Clustering
Exploring and Mitigating Fawning Hallucinations in Large Language Models
Growing Steerable Neural Cellular Automata
Off-policy Confidence Sequences
Energy-Efficient Wireless Powered Secure Transmission with Cooperative Jamming for Public Transportation
A Comparative Study of NAFNet Baselines for Image Restoration
Guidelines for creating man-machine multimodal interfaces
Beyond Line-Level Filtering for the Pretraining Corpora of LLMs
Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Neighbor Oblivious and Finite-State Algorithms for Circumventing Local Minima in Geographic Forwarding
A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article
TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation
Entailment Relations on Distributions
An Optimal χ-Bound for (P 6 , diamond)-Free Graphs
Graph Diffusion-Embedding Networks
CelluloTactix: Towards Empowering Collaborative Online Learning through Tangible Haptic Interaction with Cellulo Robots
QoS-Aware Hierarchical Reinforcement Learning for Joint Link Selection and Trajectory Optimization in SAGIN-Supported UAV Mobility Management
EntroGD: Efficient Compression and Accurate Direct Analytics on Compressed Data
A Dynamic Equivalent Method for PMSG-WTG Based Wind Farms Considering wind Speeds and Fault Severities
On decoder-only architecture for speech-to-text and large language model integration
Colorization of Natural Images via L1 Optimization
A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons
On measuring performances of C-SPARQL and CQELS
When marine radar target detection meets pretrained large language models
Revisiting Data Analysis with Pre-trained Foundation Models
Empirical Design in Reinforcement Learning
Evaluation of Uncertain Inference Models I: PROSPECTOR
A Review of Audio Features and Statistical Models Exploited for Voice Pattern Design
Deep Learning-Based Regional White Matter Hyperintensity Mapping as a Robust Biomarker for Alzheimer's Disease
HYCO: Hybrid-Cooperative Learning for Data-Driven PDE Modeling
Optimization of the Jaccard index for image segmentation with the Lovász hinge
On regularization of the Heun functions
Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Based on Large-Scale Datasets
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Content-Based Features to Rank Influential Hidden Services of the Tor Darknet
Leveraging Priors via Diffusion Bridge for Time Series Generation
On the Secure DoF of the Single-Antenna MAC
Regular Pairings for Non-quadratic Lyapunov Functions and Contraction Analysis
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution
Prediction-error of Prediction Error (PPE)-based Reversible Data Hiding
Complexity Analysis Of Next-Generation VVC Encoding and Decoding
Neural Network Generalization: The impact of camera parameters
A prediction-based approach for online dynamic radiotherapy scheduling
Quantifying the hierarchical scales of scientists'mobility
Quantifying Bias in Automatic Speech Recognition
Infrared Vision Systems for Emergency Vehicle Driver Assistance in Low-Visibility Conditions
SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
Designing for Critical Algorithmic Literacies
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and Customizable Inference
SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression
Eyes Will Shut: A Vision-Based Next GPS Location Prediction Model by Reinforcement Learning from Visual Map Feed Back
High-order FDTD schemes for Maxwell's interface problems with discontinuous coefficients and complex interfaces based on the Correction Function Method
Computing Gerber-Shiu function in the classical risk model with interest using collocation method
Graphical Residual Flows
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy
BITES: Balanced Individual Treatment Effect for Survival data
Local Linearizability
Spiking Neural Networks for Early Prediction in Human Robot Collaboration
Design, Modelling and Validation of a Novel Extra Slender Continuum Robot for In-situ Inspection and Repair in Aeroengine
Quantum Key Distribution using Continuous-variable non-Gaussian States
An arbitrary Lagrangian-Eulerian semi-implicit hybrid method for continuum mechanics with GLM cleaning
Improving ICD coding using Chapter based Named Entities and Attentional Models
Graph neural networks for learning liquid simulations in dynamic scenes containing kinematic objects
Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
Weak Distributive Laws between Monads of Continuous Valuations and of Non-Deterministic Choice
Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement
Translating the Concept of Goal Setting into Practice - What 'Else' does it Require than a Goal Setting Tool?
Which Algorithms Have Tight Generalization Bounds?
Modeling and Analysis of Walking Pattern for a Biped Robot
Developing Training Procedures for Piecewise-linear Spline Activation Functions in Neural Networks
Manifolds' Projective Approximation Using The Moving Least-Squares (MMLS)
An Innovative CGL-MHA Model for Sarcasm Sentiment Recognition Using the MindSpore Framework
Modeling and Instability of Average Current Control
Polarization for arbitrary discrete memoryless channels
RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
A Framework for Web Services Retrieval Using Bio Inspired Clustering
Quantifying literature quality using complexity criteria
LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid
IASC: Interactive Agentic System for ConLangs
Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
4-Cycle Free Spatially Coupled LDPC Codes with an Explicit Construction
Towards Human-Level Learning of Complex Physical Puzzles
Applying the Polyhedral Model to Tile Time Loops in Devito
Super-activating Quantum Memory with Entanglement
Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management
Fractional Max-Pooling
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models
Weak Keys and Cryptanalysis of a Cold War Block Cipher
Bibliometric Evaluation of the Changing Finnish Astronomy
A Survey on Web Service Discovery Approaches
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent
What Does a TextCNN Learn?
Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation
Computer Vision and Deep Learning for 4D Augmented Reality
Quantum Distance Calculation for ε-Graph Construction
"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic
RflyMAD: A Dataset for Multicopter Fault Detection and Health Assessment
Effect of Transmission Correlations on the Performance of General Space-time Codes in Single-Keyhole Channels
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models
Semantic Relatedness and Taxonomic Word Embeddings
Eyes on Target: Gaze-Aware Object Detection in Egocentric Video
Convergence Certificate for Stochastic Derivative-Free Trust-Region Methods based on Gaussian Processes
Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement
Label quality in AffectNet: results of crowd-based re-annotation
Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
Limitations of the NTK for Understanding Generalization in Deep Learning
Adaptive Sequential Design for a Single Time-Series
Rank-one matrix estimation with groupwise heteroskedasticity
Non-Contact Breathing Rate Detection Using Optical Flow
Modeling of Four-Winged Micro Ornithopters Inspired by Dragonflies
Visualization Vibes: The Socio-Indexical Function of Visualization Design
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization
Graph Data Models and Relational Database Technology
Strategic Evolution of Adversaries Against Temporal Platform Diversity Active Cyber Defenses
Hamiltonian chromatic number of trees
ELSKE: Efficient Large-Scale Keyphrase Extraction
Using a Hamiltonian cycle problem algorithm to assist in solving difficult instances of Traveling Salesman Problem
Speech Separation based on Contrastive Learning and Deep Modularization
Bounding Helly numbers via Betti numbers
Parameterizing edge modification problems above lower bounds
Visual-Inertial SLAM as Simple as A, B, VINS
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh
Endoscopy artifact detection (EAD 2019) challenge dataset
C-DOG: Multi-View Multi-instance Feature Association Using Connected δ-Overlap Graphs
MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal
Agentività e telicità in GilBERTo: implicazioni cognitive
Non-parametric Probabilistic Load Flow using Gaussian Process Learning
Artificial Intelligence for Technical Debt Management in Software Development
Exponentially faster fixed-parameter algorithms for high-multiplicity scheduling
Measurement-Constrained Sampling for Text-Prompted Blind Face Restoration
Fast Real Evaluation Through Sound Mixed-Precision Tuning
Adaptive Reduced-Rank Minimum Symbol-Error-Rate Receive Processing for Large-Scale Multiple-Antenna Systems
Leveraging Action Relational Structures for Integrated Learning and Planning
Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration
Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
Teamwork Makes TEE Work: Open and Resilient Remote Attestation on Decentralized Trust
Shape Optimisation with W 1, ∞ : A connection between the steepest descent and Optimal Transport
On the generalized vectorization and its inverse
A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
Error analysis for the deep Kolmogorov method
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
3D-C2FT: Coarse-to-fine Transformer for Multi-view 3D Reconstruction
Networked Time Series Prediction with Incomplete Data
Value-at-Risk and Expected Shortfall for Quadratic portfolio of securities with mixture of elliptic Distributed Risk Factors
Pivoting B2B platform business models: From platform experimentation to multi-platform integration to ecosystem envelopment
An energy stable and positivity-preserving scheme for the Maxwell-Stefan diffusion system
TransMamba: Flexibly Switching between Transformer and Mamba
Multi-Object Hallucination in Vision-Language Models
Commitment to Software Process improvement Development of Diagnostic Tool to Facilitate Improvement1
Distributed State Estimation for Linear Systems
Connecting Randomized Response, Post-Randomization, Differential Privacy and t-Closeness via Deniability and Permutation
On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages