yusuke1997/dblp-id-title huggingface dataset:
MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
Irregularly Tabulated MLP for Fast Point Feature Embedding
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning
Stable Nash equilibria of medium access games under symmetric, socially altruistic behavior
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators
MAVIS: Managing Datacenters using Smartphones
Non-reversibly updating a uniform [0, 1] value for Metropolis accept/reject decisions
Spinal Test Suites for Software Product Lines
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning
Finite size analysis of the detectability limit of the stochastic block model
VisionSafeEnhanced VPC: Cautious Predictive Control with Visibility Constraints under Uncertainty for Autonomous Robotic Surgery
Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient
Computing the log-determinant of symmetric, diagonally dominant matrices in near-linear time
Two Light Modalities for Recursion
A New Algorithm for Proving Global Asymptotic Stability of Rational Difference Equations
Latent SHAP: Toward Practical Human-Interpretable Explanations
Predicting Disease Progress with Imprecise Lab Test Results
On the Convergence of the ELBO to Entropy Sums
Vermilion: A Traffic-Aware Reconfigurable Optical Interconnect with Formal Throughput Guarantees
Integrated Information as a Metric for Group Interaction: Analyzing Human and Computer Groups Using a Technique Developed to Measure Consciousness
Knowledge Fusion Transformers for Video Action Recognition
Planet as a Brain: Towards Internet of AgentSites based on AIOS Server
An Open and Reproducible Paper on Openness and Reproducibility of Papers in Computational Science
FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters
VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
Borel versions of the Local Lemma and LOCAL algorithms for graphs of finite asymptotic separation index
Organizational Bulk Email Systems: Their Role and Performance in Remote Work
LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models
Shaping Realities: Enhancing 3D Generative AI with Fabrication Constraints
DeepArchitect: Automatically Designing and Training Deep Architectures
Extended Path Partition Conjecture for Semicomplete and Acyclic Compositions
CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing
M 3 ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
Transformer Redesign for Late Fusion of Audio-Text Features on Ultra-Low-Power Edge Hardware
Explicit Domain Adaptation with Loosely Coupled Samples
Neural Bandit Based Optimal LLM Selection for a Pipeline of Tasks
Reduction of Blocking Artifacts In JPEG Compressed Image
When Mining Electric Locomotives Meet Reinforcement Learning
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection
ConPR: Ongoing Construction Site Dataset for Place Recognition
Feed-forward Uncertainty Propagation in Belief and Neural Networks
Empirical distribution of good channel codes with non-vanishing error probability (extended version)
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System
Meursault as a Data Point
Capturing the diversity of multilingual societies
Minimum Variance and Covariance Steering Based on Affine Disturbance Feedback Control Parameterization
Lightweight Parallel Foundations: a model-compliant communication layer
Stream: Scaling up Mechanistic Interpretability to Long Context in LLMs via Sparse Attention
Determining rural areas vulnerable to illegal dumping using GIS techniques. Case study: Neamt county, Romania
A matrix analysis of different centrality measures
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders
OpenKinoAI: An Open Source Framework for Intelligent Cinematography and Editing of Live Performances
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Automatic Tooth Arrangement with Joint Features of Point and Mesh Representations via Diffusion Probabilistic Models
DNS-based Ingress Load Balancing: An Experimental Evaluation
Deep Inertial Odometry with Accurate IMU Preintegration
Learning to rank for censored survival data
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks
SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization
RocketPPA: Ultra-Fast LLM-Based PPA Estimator at Code-Level Abstraction
A finite element method for Maxwell's transmission eigenvalue problem in anisotropic media
Learning and Inferring Relations in Cortical Networks
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
3D Face Pose and Animation Tracking via Eigen-Decomposition based Bayesian Approach
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Shape Invariant 3D-Variational Autoencoder: Super Resolution in Turbulence flow
Domain Controlled Title Generation with Human Evaluation
Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval
Most General Variant Unifiers
MAI-UI Technical Report: Real-World Centric Foundation GUI Agents
A Global Modeling Approach for Load Forecasting in Distribution Networks
CADgpt: Harnessing Natural Language Processing for 3D Modelling to Enhance Computer-Aided Design Workflows
Multipath Channels of Bounded Capacity
Homotopy Methods for Eigenvector-Dependent Nonlinear Eigenvalue Problems
Statistical Mechanics Characterization of Neuronal Mosaics
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
Active Reinforcement Learning with Monte-Carlo Tree Search
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15, 000 Patients
Time-lapse image classification using a diffractive neural network
Learning in Implicit Generative Models
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
HGAN: Hybrid Generative Adversarial Network
Breaching the 2-Approximation Barrier for the Forest Augmentation Problem
A Brooks' Theorem for Triangle-Free Graphs
Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration
Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramér-Rao Bound
Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability
A semi-trailer truck right-hook turn blind spot alert system for detecting vulnerable road users using transfer learning
Probing for Consciousness in Machines
Urgency/Emergency Health Processes' Modelling: A Case Study
Scale-free networks embedded in fractal space
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data
pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2
Hypermultiplexed Integrated Tensor Optical Processor
Strongly regular graphs from weakly regular plateaued functions
Characterizing the 2022 Russo-Ukrainian Conflict Through the Lenses of Aspect-Based Sentiment Analysis: Dataset, Methodology, and Preliminary Findings
Conformal Prediction-Driven Adaptive Sampling for Digital Twins of Water Distribution Networks
Certifiable (Multi)Robustness Against Patch Attacks Using ERM
BATISNet: Instance Segmentation of Tooth Point Clouds with Boundary Awareness
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Some integer factorization algorithms using elliptic curves
PROSE: Perceptual Risk Optimization for Speech Enhancement
Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data
Minimum Congestion Routing of Unsplittable Flows in Data-Center Networks
Ahead-of-Time P-Tuning
ChangeNet: Multi-Temporal Asymmetric Change Detection Dataset
Bounding the Growth Rate of Approximation Coefficients using the Symmetry of Jager Pairs
Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training
Interpreting CNN Predictions using Conditional Generative Adversarial Networks
Time-Varying Actuator Scheduling in Complex Networks
The Gray Image of Codes over Finite Chain Rings
An information spectrum approach to the capacity region of GIFC
Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017
An LSTM-Based Chord Generation System Using Chroma Histogram Representations
Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids
Modeling Demand Flexibility of RES-based Virtual Power Plants
Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework
Adversarial Learning for Counterfactual Fairness
A Compare-Propagate Architecture with Alignment Factorization for Natural Language Inference
Checking Satisfiability of Hyperproperties using First-Order Logic
SGMem: Sentence Graph Memory for Long-Term Conversational Agents
Beyond Worst-Case Analysis in Private Singular Vector Computation
The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques
Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game
Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets
Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems
Utility-Optimal Dynamic Rate Allocation under Average End-to-End Delay Requirements
Set-based state estimation of nonlinear discrete-time systems using constrained zonotopes and polyhedral relaxations
CONCORD: Clone-aware Contrastive Learning for Source Code
Implicit learning of object geometry by reducing contact forces and increasing smoothness
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?
Bayesian Inference in Queueing Networks
Learning from Mistakes: Enhancing Harmful Meme Detection via Misjudgment Risk Patterns
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
Universal Function Approximation on Graphs using Multivalued Functions
Cross-Domain Reasoning via Template Filling
Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient method
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers
Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
Monte Cimone v2: Down the Road of RISC-V High-Performance Computers
The Muculants - a Higher-Order Statistical Approach
The sine and cosine diffusive representations for the Caputo fractional derivative
The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex
Can We Really Repurpose Multi-Speaker ASR Corpus for Speaker Diarization?
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning
Quantum circuit complexity and unsupervised machine learning of topological order
Annotation of epidemiological information in animal disease-related news articles: guidelines
A low-cost real-time 3D imaging system for contactless asthma observation
Long Range Switching Time Series Prediction via State Space Model
Efficient particle continuation model predictive control
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
Time-Windowed Contiguous Hotspot Queries
An Examination of the Effectiveness of Teaching Data Modelling Concepts
Sound event localization and classification using WASN in Outdoor Environment
Implementation of Ethically Aligned Design with Ethical User stories in SMART terminal Digitalization project: Use case Passenger Flow
A Scalable Approach to Probabilistic Neuro-Symbolic Verification
Deterministic vs. Non Deterministic Finite Automata in Automata Processing
Online learning with graph-structured feedback against adaptive adversaries
Noise-Robust ASR for the third 'CHiME' Challenge Exploiting Time-Frequency Masking based Multi-Channel Speech Enhancement and Recurrent Neural Network
How should my chatbot interact? A survey on human-chatbot interaction design
Feature Selection via Maximizing Distances between Class Conditional Distributions
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
QoE-Centric Localized Mobility Management for Future Mobile Networks
Steal My Artworks for Fine-tuning? A Watermarking Framework for Detecting Art Theft Mimicry in Text-to-Image Models
Predicting publication productivity for researchers: A latent variable model
Architectural Approaches to Overcome Challenges in the Development of Data-Intensive Systems
MIML: A Framework for Learning with Ambiguous Objects
Towards Open-Vocabulary Industrial Defect Understanding with a Large-Scale Multimodal Dataset
The ultimate display: Where will all the pixels come from?
Rate of Convergence and Error Bounds for LSTD(λ)
Automatic Classification of Music Genre using Masked Conditional Neural Networks
Integrated Design Fabrication and Control of a Bioinspired Multimaterial Soft Robotic Hand
An iterative K-FAC algorithm for Deep Learning
Penalty Ensembles for Navier-Stokes with Random Initial Conditions & Forcing
Improving Access to Digitized Historical Newspapers with Text Mining, Coordinated Models, and Formative User Interface Design
ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration
An End-to-End Encryption Solution for Enterprise Content Applications
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case
CUNI Submission in WMT22 General Task
Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes
Jam-absorption driving with data assimilation
Explainable artificial intelligence (XAI): from inherent explainability to large language models
Extending On-chain Trust to Off-chain - A Trustworthy Vaccine Shipping Example
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure
Common errors in Generative AI systems used for knowledge extraction in the climate action domain
Computationally efficient formulation of relay operator for Preisach hysteresis modeling
The impact of bundling licensed and unlicensed wireless service
Superconnexivity Reconsidered
Matching LBO eigenspace of non-rigid shapes via high order statistics
Parameterized Complexity of Star Decomposition Problem
Meta Learning MDPs with Linear Transition Models
Towards Cooperation by Carrier Aggregation in Heterogeneous Networks: A Hierarchical Game Approach
Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach
Museum Painting Retrieval
A modular U-Net for automated segmentation of X-ray tomography images in composite materials
Bayesian estimation of the Kullback-Leibler divergence for categorical sytems using mixtures of Dirichlet priors
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings
DoS and DDoS in Named-Data Networking
SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection
VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation
A New Selection Operator for the Discrete Empirical Interpolation Method - improved a priori error bound and extensions
Fair Latency-Aware Metric for real-time video segmentation networks
Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review
Toward Generalized Autonomous Agents: A Neuro-Symbolic AI Framework for Integrating Social and Technical Support in Education
Generative Design Ideation: A Natural Language Generation Approach
Convolutional-LSTM for Multi-Image to Single Output Medical Prediction
Detailed comparison of communication efficiency of split learning and federated learning
DuetRAG: Collaborative Retrieval-Augmented Generation
Exploring the impact of weather on Metro demand forecasting using machine learning method
Semantic Sensitive TF-IDF to Determine Word Relevance in Documents
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Inroads to a Structured Data Natural Language Bijection and the role of LLM annotation
Non-Gaussian information from weak lensing data via deep learning
Cat-and-Mouse Satellite Dynamics: Divergent Adversarial Reinforcement Learning for Contested Multi-Agent Space Operations
Sentiment Index of the Russian Speaking Facebook
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference
Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers
Four universal growth regimes in degree-dependent first passage percolation on spatial random graphs II
A Fast and Efficient Incremental Approach toward Dynamic Community Detection
Probabilistic Relational Model Benchmark Generation
WEMAC: Women and Emotion Multi-modal Affective Computing dataset
Virtual Modules in Discrete-Event Systems: Achieving Modular Diagnosability
Assessment of E-Learning Readiness of Faculty Members and Students in the Government and Private Higher Education Institutions in the Philippines
WACANA: A Concolic Analyzer for Detecting On-chain Data Vulnerabilities in WASM Smart Contracts
Machine Learning's Dropout Training is Distributionally Robust Optimal
Qualification of Proof Assistants, Checkers, and Generators: Where Are We and What Next?
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
Defining a Comprehensive Threat Model for High Performance Computational Clusters
MetricSynth: Framework for Aggregating DORA and KPI Metrics Across Multi-Platform Engineering
Creating benchmarkable components to measure the quality ofAI-enhanced developer tools
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language Models
Andro-profiler: Detecting and Classifying Android Malware based on Behavioral Profiles
Fast counting of medium-sized rooted subgraphs
CREFT: Sequential Multi-Agent LLM for Character Relation Extraction
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis
Closed-loop underwater soft robotic foil shape control using flexible e-skin
A Stochastic Approach to Terrain Maps for Safe Lunar Landing
Monitoramento de redes sociais analise de ferramenta com foco no retorno estrategico empresarial (Monitoring social networks analysis tool focused on strategic business return)
An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
An ANN Based Call Handoff Management Scheme for Mobile Cellular Network
A Review of the Convergence of 5G/6G Architecture and Deep Learning
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)
Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media
Separation and Collapse of Equilibria Inequalities on AND-OR Trees without Shape Constraints
Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants
Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models
NoMod: A Non-modular Attack on Module Learning With Errors
StRuCom: A Novel Dataset of Structured Code Comments in Russian
On Tie Strength Augmented Social Correlation for Inferring Preference of Mobile Telco Users
On The Power of Joint Wavelet-DCT Features for Multispectral Palmprint Recognition
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
New Error Estimates for An Elliptic Distributed Optimal Control Problem with Pointwise Control Constraints
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations
On Evidence-based Risk Management in Requirements Engineering
BotBuster: Multi-platform Bot Detection Using A Mixture of Experts
Simple Projection Variants Improve ColBERT Performance
End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning
GeoCovaxTweets: COVID-19 Vaccines and Vaccination-specific Global Geotagged Twitter Conversations
Transition-based Semantic Role Labeling with Pointer Networks
When Accuracy Meets Privacy: Two-Stage Federated Transfer Learning Framework in Classification of Medical Images on Limited Data: A COVID-19 Case Study
A Time-efficient Prioritised Scheduling Algorithm to Optimise Initial Flock Formation of Drones
Stochastic Training for Side-Channel Resilient AI
Forecasting Short-term Dynamics of Fair-Weather Cumuli using Dynamic Mode Decomposition
Nonlinear Magnetics Model for Permanent Magnet Synchronous Machines Capturing Saturation and Temperature Effects
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
From Deep Filtering to Deep Econometrics
Metalinear structures and the substructural logic of quantum measurements
Open RAN Testbeds with Controlled Air Mobility
Network Synthetic Interventions: A Framework for Panel Data with Network Interference
A short review and primer on cardiovascular signals in human computer interaction applications
A scalable estimator of high-order information in complex dynamical systems
Tracking Instances as Queries
Rank-1 LoRAs Encode Interpretable Reasoning Signals
Comparison of COVID-19 Prediction Performances of Normalization Methods on Cough Acoustics Sounds
Fatigue evaluation in maintenance and assembly operations by digital human simulation
An Algorithm for Komlós Conjecture Matching Banaszczyk's bound
Statistical Deformation Reconstruction Using Multi-organ Shape Features for Pancreatic Cancer Localization
HOIN: High-Order Implicit Neural Representations
New expression on the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system
Efficient Multiplication of Dense Matrices over GF(2)
A Survey on Multilingual Mental Disorders Detection from Social Media Data
Identity-Guided Human Semantic Parsing for Person Re-Identification
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization
A Static Program Slicing Approach for Output Stream Objects in JEE Applications
DeLTra: Deep Light Transport for Projector-Camera Systems
Single-shot phase retrieval: a holography-driven problem in Sobolev space
OccFiner: Offboard Occupancy Refinement with Hybrid Propagation
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer
Reviving Dormant Memories: Investigating Catastrophic Forgetting in Language Models through Rationale-Guidance Difficulty