yusuke1997/dblp-id-title huggingface dataset:
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors
Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms
Unveiling Inefficiencies in LLM-Generated Code: Toward a Comprehensive Taxonomy
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning
Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative Decoding
BEV-GS: Feed-forward Gaussian Splatting in Bird's-Eye-View for Road Reconstruction
Unbiased Gradient Low-Rank Projection
Applying Prolog to Develop Distributed Systems
Robust Bayesian Recourse
GenWorld: Towards Detecting AI-generated Real-world Simulation Videos
Variance-Reduced Second-Order Methods
Total Colourings - A survey
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey
Data-driven Super-Resolution of Flood Inundation Maps using Synthetic Simulations
Numerical comparison of iterative and functional-analytical algorithms for inverse acoustic scattering
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
Labeling Explicit Discourse Relations using Pre-trained Language Models
Optimal network pricing with oblivious users: a new model and algorithm
Lower bounds on the number of realizations of rigid graphs
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing
Evolutionary optimization of an experimental apparatus
Formally Secure Compilation of Unsafe Low-Level Components (Extended Abstract)
Locally EFX Allocations Over a Graph
What Makes Training Multi-Modal Networks Hard?
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets
Visualization of Contributions to Open-Source Projects
Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuning
Spectrum Quantization and Feedback for Downlink Massive MIMO Systems With Cascaded Precoding
Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating
Fearless Concurrency? Understanding Concurrent Programming Safety in Real-World Rust Software
Between Puppet and Actor: Reframing Authorship in this Age of AI Agents
Effective and Efficient Core Decomposition in Signed Networks
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
Frictional Authors
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
LSM-OPD: Boosting Scan in LSM-Trees by Enabling Direct Computing on Compressed Data
Graph-based Framework for Flexible Baseband Function Splitting and Placement in C-RAN
TrashDet: Iterative Neural Architecture Search for Efficient Waste Detection
Hypothesis Testing on Invariant Subspaces of the Symmetric Group, Part I - Quantum Sanov's Theorem and Arbitrarily Varying Sources
Mitigating Forgetting in Low Rank Adaptation
Analysis of accuracy and efficiency of neural networks to simulate Navier-Stokes fluid flows with obstacles
Automated Morphological Analysis of Neurons in Fluorescence Microscopy Using YOLOv8
Model-Constrained Deep Learning Approaches for Inverse Problems
Generating and Customizing Robotic Arm Trajectories using Neural Networks
Autoregressive Cascades on Random Networks
AdiosStMan: Parallelizing Casacore Table Data System Using Adaptive IO System
Axiomatizing first order consequences in dependence logic
T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
SpectroMap: Peak detection algorithm for audio fingerprinting
Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies
Toward Responsible AI Use: Considerations for Sustainability Impact Assessment
Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
ZeroDexGrasp: Zero-Shot Task-Oriented Dexterous Grasp Synthesis with Prompt-Based Multi-Stage Semantic Reasoning
Analyzing Power Quality Implications of High Level Charging Rates of Electric Vehicle Within Distribution Networks
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
The State of Papers, Retractions, and Preprints: Evidence from the CrossRef Database (2004-2024)
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI
Repulsive Trajectory Modification and Conflict Resolution for Efficient Multi-Manipulator Motion Planning
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC
Adventures in Demand Analysis Using AI
Towards an AI co-scientist
Benefits of depth in neural networks
SOTorrent: Studying the Origin, Evolution, and Usage of Stack Overflow Code Snippets
Bidirectional Image-Event Guided Low-Light Image Enhancement
Malleable Coding with Fixed Segment Reuse
Matryoshka Representations for Adaptive Deployment
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
Task and Situation Structures for Service Agent Planning
SBT-instrumentation: A Tool for Configurable Instrumentation of LLVM Bitcode
Capturing Opportunity Costs of Batteries with a Staircase Supply-Demand Function
Quantum computational complexity of matrix functions
Modification Takes Courage: Seamless Image Stitching via Reference-Driven Inpainting
CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answering
Can poachers find animals from public camera trap images?
A Novel Piezoelectric Microtransformer for Autonmous Sensors Applications
An IoT-based Smart Parking System
Architectural solutions of conformal network-centric staring-sensor systems with spherical field of view
We are Going to the Space - Part 1: Which device to deploy in a satellite?
A Rate Splitting Strategy for Massive MIMO with Imperfect CSIT
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages
Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences
Nonnegative Tensor Factorization for Directional Blind Audio Source Separation
Inferring Multilateral Relations from Dynamic Pairwise Interactions
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation
Clustering-Based Approaches for Symbolic Knowledge Extraction
Comparison of Pre-trained Language Models for Turkish Address Parsing
Why Are Parsing Actions for Understanding Message Hierarchies Not Random?
CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering
UQ for Credit Risk Management: A deep evidence regression approach
A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
Multi-Robot Deep Reinforcement Learning with Macro-Actions
Depth First Always On Routing Trace Algorithm
Quantum Optimization for Training Quantum Neural Networks
The simplicity bubble effect as a zemblanitous phenomenon in learning systems
PREDATOR: Registration of 3D Point Clouds with Low Overlap
Sudoku as a special transportation problem
ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving
Improved error estimate for the order of strong convergence of the Euler method for random ordinary differential equations
Autonomous Horizon-based Asteroid Navigation With Observability-constrained Maneuvers
Textual Supervision for Visually Grounded Spoken Language Understanding
On the Additive Constant of the k-server Work Function Algorithm
Further Comments on Yablo's Construction
Early identification of important patents through network centrality
Visual navigation for airborne control of ground robots from tethered platform: creation of the first prototype
On Cell Association and Scheduling Policies in Femtocell Networks
Rapid Connectionist Speaker Adaptation
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Interface layers and coupling conditions for discrete kinetic models on networks: a spectral approac
Use Cases, Metrics, and Challenges of Nomadic Non-Public Networks for the 6G Standardization
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model
Computational Model for Predicting Visual Fixations from Childhood to Adulthood
Impact of Major Health Events on Pharmaceutical Stocks: A Comprehensive Analysis Using Macroeconomic and Market Indicators
A Review On Game Theory With Smart Grid Security
Multi-agent learning under uncertainty: Recurrence vs. concentration
Computing the Rate-Distortion Function of Gray-Wyner System
Benchmarking the State of Networks with a Low-Cost Method Based on Reservoir Computing
Graph-based Extreme Feature Selection for Multi-class Classification Tasks
Contrastive Hierarchical Discourse Graph for Scientific Document Summarization
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
InFact: Informativeness Alignment for Improved LLM Factuality
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
MVLayoutNet: 3D layout reconstruction with multi-view panoramas
Intuitionistic PUC-Logic for Constructive Counterfactuals
Footprint Tracker: reviewing lifelogs and reconstructing daily experiences
Security Requirements of Commercial Drones for Public Authorities by Vulnerability Analysis of Applications
SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale
MorphAgent: Empowering Agents through Self-Evolving Profiles and Decentralized Collaboration
Fast Feature Field (F 3 ): A Predictive Representation of Events
Defending Against Poisoning Attacks in Open-Domain Question Answering
ASCII: ASsisted Classification with Ignorance Interchange
Mathematical Formulations And Results Regarding Two Echelon Electric Vehicle Routing Problems
K-Hairstyle: A Large-scale Korean hairstyle dataset for virtual hair editing and hairstyle classification
TransCC: Transformer Network for Coronary Artery CCTA Segmentation
Building an Accelerated OpenFOAM Proof-of-Concept Application using Modern C++
Towards Weaker Variance Assumptions for Stochastic Optimization
Deep domain adaptation for polyphonic melody extraction
Generating Move Smart Contracts based on Concepts
Multicut Problems in Almost-Planar Graphs: The Dependency of Complexity on the Demand Pattern
The Contest Between Simplicity and Efficiency in Asynchronous Byzantine Agreement
BOMP-NAS: Bayesian Optimization Mixed Precision NAS
A Hidden Variable Resultant Method for the Polynomial Multiparameter Eigenvalue Problem
Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning
Prediction-Free Coordinated Dispatch of Microgrid: A Data-Driven Online Optimization Approach
Normalizing Casts and Coercions
Adversarial Graph Disentanglement
NODE-AdvGAN: Improving the transferability and perceptual similarity of adversarial examples by dynamic-system-driven adversarial generative model
Dataset Optimization Strategies for MalwareTraffic Detection
NeuralOS: Towards Simulating Operating Systems via Neural Generative Models
Application of Terminal Region Enlargement Approach for Discrete Time Quasi Infinite Horizon NMPC
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Rethinking what Matters: Effective and Robust Multilingual Realignment for Low-Resource Languages
Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report
Recovering Small Communities in the Planted Partition Model
Yodel: A Layer 3.5 Name-Based Multicast Network Architecture For The Future Internet
SAGS: Self-Adaptive Alias-Free Gaussian Splatting for Dynamic Surgical Endoscopic Reconstruction
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Model Predictive Control (MPC) of an Artificial Pancreas with Data-Driven Learning of Multi-Step-Ahead Blood Glucose Predictors
The Rise of Multiple Institutional Affiliations
Delay Analysis of Hybrid WiFi-LiFi System
Human Kinematics-inspired Skeleton-based Video Anomaly Detection
Fractional Concepts in Neural Networks: Enhancing Activation and Loss Functions
The Convergence Rate of MsFEM for Various Boundary Problems
Sum of squares bounds for the total ordering principle
Elastic-plastic cell-based smoothed finite element method solving geotechnical problems
Optimal Spectral Recovery of a Planted Vector in a Subspace
Video Interpolation and Prediction with Unsupervised Landmarks
Binary Split Categorical feature with Mean Absolute Error Criteria in CART
Economically Viable Randomness
Prediction model for rare events in longitudinal follow-up and resampling methods
Decentralized Probabilistic Auto-Scaling for Heterogeneous Systems
Short-term Load Forecasting with Dense Average Network
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
Do Large Language Models Understand Morality Across Cultures?
State of the Art: Image Hashing
A Fully Convolutional Neural Network Approach to End-to-End Speech Enhancement
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement
An Attention Score Based Attacker for Black-box NLP Classifier
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
A synthetic dataset for deep learning
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization
On the mathematic modeling of non-parametric curves based on cubic Bézier curves
Evidence-Based Temporal Fact Verification
Probabilistic Programming Concepts
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method
CAT STREET: Chronicle Archive of Tokyo Street-fashion
Biochemical Oscillations in Delayed Negative Cyclic Feedback: Harmonic Balance Analysis with Applications
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study
Bitformer: An efficient Transformer with bitwise operation-based attention for Big Data Analytics at low-cost low-precision devices
Safety-aware Adaptive Reinforcement Learning with Applications to Brushbot Navigation
Johnson Graph Codes
StarVQA+: Co-training Space-Time Attention for Video Quality Assessment
Age-Minimal Transmission for Energy Harvesting Sensors with Finite Batteries: Online Policies
Slim-DP: A Light Communication Data Parallelism for DNN
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information
Distributed quasi-Newton robust estimation under differential privacy
A Convergence result of a continuous model of deep learning via Łojasiewicz-Simon inequality
Network-ensemble comparisons with stochastic rewiring and von Neumann entropy
Causality, Influence, and Computation in Possibly Disconnected Dynamic Networks
Classification of delocalization power of global unitary operations in terms of LOCC one-piece relocalization
The Blame Problem in Evaluating Local Explanations, and How to Tackle it
Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update
Error estimates for the Smagorinsky turbulence model: enhanced stability through scale separation and numerical stabilization
Learning Choice Functions
Federated User Representation Learning
Impact and Performance of Randomized Test-Generation using Prolog
Robust Traffic Forecasting against Spatial Shift over Years
Attention-based Quantum Tomography
EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
Machine learning-based malware detection for IoT devices using control-flow data
Incremental Neural Controlled Differential Equations for Modeling of Path-dependent Materials
The Distance Function on a Computable Graph
Two-Stage Depth Enhanced Learning with Obstacle Map For Object Navigation
A Bibliometrics Analysis on 28 years of Authentication and Threat Model Area
Auto-labelling of Bug Report using Natural Language Processing
VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version)
Towards a Reference Architecture Model for Industrial Edge Computing
Moderating Embodied Cyber Threats Using Generative AI
Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization
A Pattern-based Survey and Categorization of Network Covert Channel Techniques
Adversarially robust deepfake media detection using fused convolutional neural network predictions
Active Tactile Object Recognition by Monte Carlo Tree Search
ContextModule: Improving Code Completion via Repository-level Contextual Information
Observations on Transitioning to Teaching Computer Science Online
Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation
Improving Multi-Domain Generalization through Domain Re-labeling
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting
NeuroFlex: Column-Exact ANN-SNN Co-Execution Accelerator with Cost-Guided Scheduling
Identifying Talented Software Engineering Students through Data-driven Skill Assessment
Resonant-Tunnelling Diode Reservoir Computing System for Image Recognition
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics
Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review
Monitoring Machine Learning Models: Online Detection of Relevant Deviations
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech
Generating Mutually Inductive Theorems from Concise Descriptions
Probing Brain Context-Sensitivity with Masked-Attention Generation
Research on Interpolation and Data Fitting: Basis and Applications
Neural Implicit Dense Semantic SLAM
Accessibility for Whom? Perceptions of Sidewalk Barriers Across Disability Groups and Implications for Designing Personalized Maps
CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network
Generating Synthetic but Plausible Healthcare Record Datasets
Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
Cramer-Rao bound and absolute sensitivity in chemical reaction networks
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout
Coupling without Communication and Drafter-Invariant Speculative Decoding
Rethinking the Importance of Sampling in Physics-informed Neural Networks
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images
Density Deconvolution with Normalizing Flows
Backward-Forward Search for Manipulation Planning
Combining Off and On-Policy Training in Model-Based Reinforcement Learning
Equilibrium Aggregation: Encoding Sets via Optimization
Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance
An FPGA framework for Interferometric Vision-Based Navigation (iVisNav)
Communication-Efficient Distributed Asynchronous ADMM
Coherence-based Input Design for Sparse System Identification
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
DINOv3 as a Frozen Encoder for CRPS-Oriented Probabilistic Rainfall Nowcasting
Conditional Frechet Inception Distance
Investigating The Functional Roles of Attention Heads in Vision Language Models: Evidence for Reasoning Modules
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator
L 1 Adaptive Control for Learn-to-Fly
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
Constructive Patterns of Logical Truth
RALL - Routing-Aware Of Path Length, Link Quality, And Traffic Load For Wireless Sensor Networks
How Machine Learning-Data Driven Replication Strategies Enhance Fault Tolerance in Large-Scale Distributed Systems
Improved Girth Approximation and Roundtrip Spanners
Bipartite graph analysis as an alternative to reveal clusterization in complex systems
ReXplain: Translating Radiology into Patient-Friendly Video Reports
Variations and Relaxations of Normalizing Flows
A Theory-driven Interpretation and Elaboration of Verification and Validation
Deep Convolutional Neural Network for Plant Seedlings Classification
Classification of power quality events in the transmission grid: comparative evaluation of different machine learning models
Linear Programming based Converses for Finite Blocklength Lossy Joint Source-Channel Coding
HgbNet: predicting hemoglobin level/anemia degree from EHR data
Knightian Auctions
Accurate Medical Named Entity Recognition Through Specialized NLP Models
On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data
Conventions and Mutual Expectations - understanding sources for web genres
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings
AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience
Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives
4,500 Seconds: Small Data Training Approaches for Deep UAV Audio Classification
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments
TRESTLE: Toolkit for Reproducible Execution of Speech, Text and Language Experiments
Superadditivity of the classical capacity with limited entanglement assistance
Absorbing Set Analysis and Design of LDPC Codes from Transversal Designs over the AWGN Channel
Federated Reinforcement Distillation with Proxy Experience Memory
Recommending Investors for Crowdfunding Projects
Inaccuracy Minimization by Partioning Fuzzy Data Sets - Validation of Analystical Methodology
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images
Decoding of Matrix-Product Codes
Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading
Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions
MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences
Multi-platform Process Flow Models and Algorithms for Extraction and Documentation of Digital Forensic Evidence from Mobile Devices
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
Elite Bases Regression: A Real-time Algorithm for Symbolic Regression
A Hitchhiker's Guide to Deep Chemical Language Processing for Bioactivity Prediction
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users
Unified Scheduling for Predictable Communication Reliability in Cellular Networks with D2D Links
Imitating careful experts to avoid catastrophic events
REDELEX: A Framework for Relational Deep Learning Exploration
Artificial life, complex systems and cloud computing: a short review