yusuke1997/dblp-id-title huggingface dataset:
State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence
A New Frequency Control Reserve Framework based on Energy-Constrained Units
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering
Training self-supervised peptide sequence models on artificially chopped proteins
Precision Neural Networks: Joint Graph And Relational Learning
Do Cloud Developers Prefer CLIs or Web Consoles? CLIs Mostly, Though It Varies by Task
Throughput-Optimal Scheduling Design with Regular Service Guarantees in Wireless Networks
Constructing PDFs of spatially dependent fields using finite elements
Blue hypertext is a perfect design decision: No perceptual disadvantage in reading and successful highlighting of relevant information
Explanation-based Belief Revision: Moving Beyond Minimalism to Explanatory Understanding
Possessive Pronouns as Determiners in Japanese-to-English Machine Translation
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics
Two-relaxation-time regularized lattice Boltzmann model for convection-diffusion equation with variable coefficients
Mechanics of fiber reinforced soft manipulators based on inhomogeneous Cosserat rod theory
Supervised Classification Methods for Flash X-ray single particle diffraction Imaging
Limiting Kinetic Energy through Control Barrier Functions: Analysis and Experimental Validation
Secrecy Transmission on Block Fading Channels: Theoretical Limits and Performance of Practical Codes
Why RLC realizations of certain impedances need many more energy storage elements than expected
System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics
Ultra-low-power Image Classification on Neuromorphic Hardware
A General Framework for Fair Allocation with Matroid Rank Valuations
WNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer
A colossal advantage: 3D-local noisy shallow quantum circuits defeat unbounded fan-in classical circuits
AI training resources for GLAM: a snapshot
Accurate, Fast and Lightweight Clustering of de novo Transcriptomes using Fragment Equivalence Classes
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease
Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline
E2E Migration Strategies Towards 5G: Long-term Migration Plan and Evolution Roadmap
"You Are Rejected!": An Empirical Study of Large Language Models Taking Hiring Evaluations
AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons
A Fast Implementation for the Canonical Polyadic Decomposition
Hyperparameter Search in Machine Learning
IndGIC: Supervised Action Recognition under Low Illumination
Generation and analysis of networks with a prescribed degree sequence and subgraph family: Higher-order structure matters
Preregistered protocol for: Articulatory changes in speech following treatment for oral or oropharyngeal cancer: a systematic review
Simulating LLM training workloads for heterogeneous compute and network infrastructure
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search
From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach
A Contribution to COVID-19 Prevention through Crowd Collaboration using Conversational AI & Social Platforms
An Estimation of Personnel Food Demand Quantity for Businesses by Using Artificial Neural Networks
Smartphone-based Home Robotics
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
A Dynamic Game Model of Collective Choice: Stochastic Dynamics and Closed Loop Solutions
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
Exploring Viable Algorithmic Options for Learning from Demonstration (LfD): A Parameterized Complexity Approach
Symmetric Two-User MIMO BC and IC with Evolving Feedback
Prediction of geophysical properties of rocks on rare well data and attributes of seismic waves by machine learning methods on the example of the Achimov formation
Interpreting What Typical Fault Signals Look Like via Prototype-matching
Distillation of CNN Ensemble Results for Enhanced Long-Term Prediction of the ENSO Phenomenon
Water level prediction from social media images with a multi-task ranking approach
In the Eye of the Beholder? Detecting Creativity in Visual Programming Environments
Underwater Object Classification and Detection: first results and open challenges
BERT has a Moral Compass: Improvements of ethical and moral values of machines
Algorithms for Maximum Internal Spanning Tree Problem for Some Graph Classes
Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning
AI and the Future of Work in Africa White Paper
On The Dangers of Poisoned LLMs In Security Automation
Hierarchical clustering with deep Q-learning
Classification non supervis{é}es d'acquisitions hyperspectrales cod{é}es : quelles v{é}rit{é}s terrain ?
Bibliothèque de la communauté assomptionniste : saisie informatique et classement Dewey
Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies
Enhanced convergence rates of Adaptive Importance Sampling with recycling schemes via quasi-Monte Carlo methods
A stabilized Two-Step Formulation of Maxwell's Equations in the time-domain
GPGCD, an Iterative Method for Calculating Approximate GCD of Univariate Polynomials, with the Complex Coefficients
Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer
Including Images into Message Veracity Assessment in Social Media
Applications of Trajectory Data in Transportation: Literature Review and Maryland Case Study
Private Learning and Regularized Optimal Transport
Making Effective Decisions: Machine Learning and the Ecogame in 1970
missIWAE: Deep Generative Modelling and Imputation of Incomplete Data
Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?
Which Humans? Inclusivity and Representation in Human-Centered AI
A Review of the In-Network Computing and Its Role in the Edge-Cloud Continuum
Exploration of Interaction Techniques for Graph-based Modelling in Virtual Reality
Social Behavioral Phenotyping of Drosophila with a2D-3D Hybrid CNN Framework
Accurate Localization in Wireless Sensor Networks in the Presence of Cross Technology Interference
Graph Style Transfer for Counterfactual Explainability
Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention
Coding Theorems for Repetition and Superposition Codes over Binary-Input Output-Symmetric Channels
Opportunistic Cooperative Channel Access in Distributed Wireless Networks with Decode-and-Forward Relays
Bridging Collaborative Filtering and Large Language Models with Dynamic Alignment, Multimodal Fusion and Evidence-grounded Explanations
A model-free shrinking-dimer saddle dynamics for finding saddle point and solution landscape
A large deviation view of stationarized fully lifted blirp interpolation
JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry
Symplectic Transformations on Wigner Distributions and Time Frequency Signal Design
Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control
Third-party Service Dependencies and Centralization Around the World
GC-SROIQ(C) : Expressive Constraint Modelling and Grounded Circumscription for SROIQ
Correlation of Expert and Search Engine Rankings
Disappearing frameworks explained
VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
Interference Alignment (IA) and Coordinated Multi-Point (CoMP) with IEEE802.11ac feedback compression: testbed results
The discrete optimization problems with interval objective function on graphs and hypergraphs and the interval greedy algorithm
Maya: An Instruction Finetuned Multilingual Multimodal Model
An HVS-Oriented Saliency Map Prediction Modeling
Model Identification of a Network as Compressing Sensing
Safe Interactive Model-Based Learning
A Hybrid Network/Grid Model of Urban Morphogenesis and Optimization
DroneWiS: Automated Simulation Testing of small Unmanned Aerial Systems in Realistic Windy Conditions
Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image
More Accurate Recommendations for Method-Level Changes
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Are Happy Developers more Productive? The Correlation of Affective States of Software Developers and their self-assessed Productivity
Distribution-Free Predictive Inference under Unknown Temporal Drift
A Social Network Analysis Framework for Modeling Health Insurance Claims Data
NAMeGEn: Creative Name Generation via A Novel Agent-based Multiple Personalized Goal Enhancement Framework
The Probabilistic Structure of Discrete Agent-Based Models
Characteristics of networks generated by kernel growing neural gas
Android based security and home automation system
Dark Patterns in Online Shopping: Of Sneaky Tricks, Perceived Annoyance and Respective Brand Trust
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks
PSD2 Explainable AI Model for Credit Scoring
Provably Robust Adaptation for Language-Empowered Foundation Models
An Elementary Proof of the Near Optimality of LogSumExp Smoothing
Computational design of organic solar cell active layer through genetic algorithm
Analyze Drivers' Intervention Behavior During Autonomous Driving - A VR-incorporated Approach
DSSAU-Net:U-Shaped Hybrid Network for Pubic Symphysis and Fetal Head Segmentation
Accelerating the Computation of Tensor Z-Eigenvalues
Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping
Novel Prediction Techniques Based on Clusterwise Linear Regression
Some results on the antiprimitive BCH codes
Further Evaluationh of VLEs using HCI and Educational Metrics
Sparsely Grouped Input Variables for Neural Networks
BSA: Ball Sparse Attention for Large-scale Geometries
Overlap-aware End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarization
LDEB - Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues
Cooperative Transportation with Multiple Aerial Robots and Decentralized Control for Unknown Payloads
Randomized Controlled Trials with Minimal Data Retention
p SVM: Soft-margin SVMs with p -norm Hinge Loss
Three scenarios for continual learning
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration
A Robust Three-Level Time Split High-Order Leapfrog/Crank-Nicolson Scheme For Two-Dimensional Sobolev and Regularized Long Wave Equations Arising In Fluid Mechanics
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images
Implicit step-truncation integration of nonlinear PDEs on low-rank tensor manifolds
Slicing the hypercube is not easy
Fast Snapshottable Concurrent Braun Heaps
Tool-Augmented Policy Optimization: Synergizing Reasoning and Adaptive Tool Use with Reinforcement Learning
Framework for Robust Motion Planning of Tethered Multi-Robot Systems in Marine Environments
Random Sampling and Locality Constraint for Face Sketch
GreenLLaMA: A Framework for Detoxification with Explanations
Adversary-Augmented Simulation to evaluate client-fairness on HyperLedger Fabric
Random number generation & distribution out of thin (or thick) air
Growing a Tail: Increasing Output Diversity in Large Language Models
Monadic second-order definable graph orderings
SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models
Variance Reduced Policy Gradient Method for Multi-Objective Reinforcement Learning
Automated Structural-level Alignment of Multi-view TLS and ALS Point Clouds in Forestry
CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation
Phase Contrast Microscopy Cell PopulationSegmentation: A Survey
Statistically Discriminative Sub-trajectory Mining
OpenUAS: Embeddings of Cities in Japan with Anchor Data for Cross-city Analysis of Area Usage Patterns
QINCODEC: Neural Audio Compression with Implicit Neural Codebooks
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
FIA-Edit: Frequency-Interactive Attention for Efficient and High-Fidelity Inversion-Free Text-Guided Image Editing
Nonlinear PDE Constrained Optimal Dispatch of Gas and Power: A Global Linearization Approach
Multi-channel discourse as an indicator for Bitcoin price and volume movements
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model
Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains
Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training
Lower density selection schemes via small universal hitting sets with short remaining path length
Factors Impacting the Quality of User Answers on Smartphones
CVB: A Video Dataset of Cattle Visual Behaviors
Identity Testing for High-Dimensional Distributions via Entropy Tensorization
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection
On Universalized Adversarial and Invariant Perturbations
Anatomy Studio II: A Cross-Reality Application for Teaching Anatomy
A Dynamic Programming Approach to Finite-horizon Coherent Quantum LQG Control
MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on Large Language Models
Updating the Number of Crossings of Complete Geometric Graphs
video-SALMONN S: Streaming Audio-Visual LLMs Beyond Length Limits via Memory
Sum-Rate Maximization of Multicell MISO Networks with Limited Information Exchange
An extension theorem for signotopes
Exploring Transformer's potential on automatic piano transcription
HADES: Fast Singularity Detection with Local Measure Comparison
A one-dimensional model for aspiration therapy in blood vessels
Learning to generate physical ocean states: Towards hybrid climate modeling
ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model
Smoothing Rough Edges of IPv6 in VPNs
On the Iterative Decoding of High-Rate LDPC Codes With Applications in Compressed Sensing
Learning by Imagining: Debiased Feature Augmentation for Compositional Zero-Shot Learning
A Problem-Adaptive Algorithm for Resource Allocation
Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability
Differentiable Safe Controller Design through Control Barrier Functions
A Neuro-Fuzzy Model with SEER-SEM for Software Effort Estimation
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction
Semantic Analysis of Subexponential Modalities in Distributive Non-commutative Linear Logic
On Information and Energy Cooperation in Energy Harvesting Cognitive Radio
Unique expansion matroids and union minimal matroids
MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata
Generative ScatterNet Hybrid Deep Learning (G-SHDL) Network with Structural Priors for Semantic Image Segmentation
Emotion Detection from Text
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
A Distribution Adaptive Framework for Prediction Interval Estimation Using Nominal Variables
Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
VM-UNSSOR: Unsupervised Neural Speech Separation Enhanced by Higher-SNR Virtual Microphone Arrays
Simplicial Databases
Evolving nature of human contact networks with its impact on epidemic processes
Trotter error bounds and dynamic multi-product formulas for Hamiltonian simulation
User-Centered Design with AI in the Loop: A Case Study of Rapid User Interface Prototyping with "Vibe Coding"
Visual Object Tracking by Segmentation with Graph Convolutional Network
Is it me, or is A larger than B: Uncovering the determinants of relational cognitive dissonance resolution
The complexity of multiple-precision arithmetic
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction
Deep quantum neural networks form Gaussian processes
Route Choice-based Socio-Technical Macroscopic Traffic Model
An Improved Entropic Inequality On The Sphere
CDI-DTI: A Strong Cross-domain Interpretable Drug-Target Interaction Prediction Framework Based on Multi-Strategy Fusion
Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain
Faster than Real-Time Simulation: Methods, Tools, and Applications
Deep Learning for Photoacoustic Tomography from Sparse Data
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations
ActionPose: Pretraining 3D Human Pose Estimation with the Dark Knowledge of Action
Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent
Image Inpainting with Learnable Bidirectional Attention Maps
Mitigating Low-volume DoS Attacks with Data-driven Resource Accounting
Dynamic Base Station Repositioning to Improve Spectral Efficiency of Drone Small Cells
Joint Transmission Map Estimation and Dehazing using Deep Networks
FMI Meets SystemC: A Framework for Cross-Tool Virtual Prototyping
A Multi-domain Image Translative Diffusion StyleGAN for Iris Presentation Attack Detection
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems
Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity
Quantum entropy and complexity
Enhanced Opposition Differential Evolution Algorithm for Multimodal Optimization
Nested Named Entity Recognition as Holistic Structure Parsing
Digital Version of Green's Theorem and its Application to The Coverage Problem in Formal Verification
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking
Efficient algorithm for the oscillatory matrix functions
Matrix and Graph Operations for Relationship Inference: An Illustration with the Kinship Inference in the China Biographical Database
Near-Optimal Coalition Structures in Polynomial Time
Support-Graph Preconditioners for 2-Dimensional Trusses
Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection
Deep reinforcement learning for near-deterministic preparation of cubic- and quartic-phase gates in photonic quantum computing
Learning 3D Segment Descriptors for Place Recognition
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
Group-Control Motion Planning Framework for Microrobot Swarms in a Global Field
Clinical Intervention Prediction and Understanding using Deep Networks
A Deterministic Equivalent for the Analysis of Small Cell Networks
Conversational flow in Oxford-style debates
User recommendation system based on MIND dataset
The Computational Theory of Intelligence: Data Aggregation
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
Semantics Disentangling for Text-to-Image Generation
MIPGAN - Generating Robust and High Quality Morph Attacks Using Identity Prior Driven GAN
Energy Propagation in Scattering Convolution Networks Can Be Arbitrarily Slow
NeurIPS 2023 LLM Efficiency Fine-tuning Competition
A Structural Feature-Based Approach for Comprehensive Graph Classification
Pre-training Autoencoder for Acoustic Event Classification via Blinky
Don't Disturb Me: Challenges of Interacting with SoftwareBots on Open Source Software Projects
QUACKIE: A NLP Classification Task With Ground Truth Explanations
Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI
Network Generation with Differential Privacy
Multi-Beam RF Aperture Using Multiplierless FFT Approximation
Elliptic polytopes and invariant norms of linear operators
SGORP: A Subgradient-based Method for d-Dimensional Rectilinear Partitioning
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
Random Graph Set and Evidence Pattern Reasoning Model
Towards Effective Detection of Ponzi schemes on Ethereum with Contract Runtime Behavior Graph
Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs
Training Data Attribution via Approximate Unrolled Differentiation
Graph-Guided Concept Selection for Efficient Retrieval-Augmented Generation
Evaluating few shot and Contrastive learning Methods for Code Clone Detection
Stability Analysis of Optimal Adaptive Control using Value Iteration with Approximation Errors
Composing Option Sequences by Adaptation: Initial Results
A Review Paper: Noise Models in Digital Image Processing
ShaRP: SHAllow-LayeR Pruning for Video Large Language Models Acceleration
Noise-Based Authentication: Is It Secure?
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Isospectral Reductions of Dynamical Networks
Conditionally independent random variables
Model-agnostic super-resolution in high dimensions
Two-Way Unary Temporal Logic over Trees
Can Vision-Language Models Solve Visual Math Equations?
An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting
SCENEFORGE: Enhancing 3D-text alignment with Structured Scene Compositions
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks
Towards Similarity Graphs Constructed by Deep Reinforcement Learning
Explaining Counterexamples with Giant-Step Assertion Checking
Least Squares with Equality constraints Extreme Learning Machines for the resolution of PDEs
The Work Capacity of Channels with Memory: Maximum Extractable Work in Percept-Action Loops
A Novel Feature Representation for Malware Classification
Asymptotic Capacity Results for Non-Stationary Time-Variant Channels Using Subspace Projections
Characterizing Classes of Potential Outliers through Traffic Data Set Data Signature 2D nMDS Projection
Anisotropy-based optimal filtering in linear discrete time invariant systems
Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge
Building accurate HAV exploiting User Profiling and Sentiment Analysis
FastPerson: Enhancing Video Learning through Effective Video Summarization that Preserves Linguistic and Visual Contexts
Low-order finite element complex with application to a fourth-order elliptic singular perturbation problem
Matched Decoding for Punctured Convolutional Encoded Transmission Over ISI-Channels
Multi-Agent Spatial Predictive Control with Application to Drone Flocking (Extended Version)
Constructing the Matrix Multilayer Perceptron and its Application to the VAE
The Effect of Iterativity on Adversarial Opinion Forming