yusuke1997/dblp-id-title huggingface dataset:
Dynamic Frequency Management in 802.11-based Multi-Radio Wireless Networks
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching
BEACON: Automatic Container Policy Generation using Environment-aware Dynamic Analysis
Generalized Unnormalized Optimal Transport and its fast algorithms
A multigrid/ensemble Kalman Filter strategy for assimilation of unsteady flows
Dynamic Exploitation Gaussian Bare-Bones Bat Algorithm for Optimal Reactive Power Dispatch to Improve the Safety and Stability of Power System
The Limit Cycles of Lienard Equations in the Weakly Nonlinear Regime
Communication- and Computation-Efficient Distributed Decision-Making in Multi-Robot Networks
Modality Mixer Exploiting Complementary Information for Multi-modal Action Recognition
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models
Padovan heaps
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis
Multi-Tower Multi-Interest Recommendation with User Representation Repel
Pre-trained Vision-Language Models Assisted Noisy Partial Label Learning
You shall know a piece by the company it keeps. Chess plays as a data for word2vec models
Modeling Information Flow Through Deep Neural Networks
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
Mitigating Power Attacks through Fine-Grained Instruction Reordering
An Empirical Study of the Realism of Mutants in Deep Learning
Enhancing Claim Classification with Feature Extraction from Anomaly-Detection-Derived Routine and Peculiarity Profiles
TOFEC: Achieving Optimal Throughput-Delay Trade-off of Cloud Storage Using Erasure Codes
Compressed sensing for inverse problems II: applications to deconvolution, source recovery, and MRI
A Base-Station Cooperation Model for Broadcasting
Influence Maximization based on Simplicial Contagion Model in Hypergraph
Collaborative Insurance Sustainability and Network Structure
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts
Graph-Based Topological Exploration Planning in Large-Scale 3D Environments
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding
Link community detection through global optimization and the inverse resolution limit of partition density
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models
MemoryPods: Enhancing Asynchronous Communication in Extended Reality
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
Multilingual Dataset Integration Strategies for Robust Audio Deepfake Detection: A SAFE Challenge System
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation
Adjustable Molecular Representation for Unified Pre-training Strategy
GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models
Introducing dynamical constraints into representation learning
Proceedings 11th International Workshop on Formal Engineering approaches to Software Components and Architectures, FESCA 2014, Grenoble, France, 12th April 2014
Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network
Multiscale modeling of vascularized tissues via non-matching immersed methods
Multi-label classification of promotions in digital leaflets using textual and visual information
Classification and Recognition of Encrypted EEG Data Neural Network
Characterization of Cooperators in Quorum Sensing with 2D Molecular Signal Analysis
Multiscale Hybrid Non-local Means Filtering Using Modified Similarity Measure
Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials Aid in Localizing Seizure Onset Zones
Human as Real-Time Sensors of Social and Physical Events: A Case Study of Twitter and Sports Games
Technical Report: Co-learning of geometry and semantics for online 3D mapping
Case Study of GAI for Generating Novel Images for Real-World Embroidery
Regularizing Adversarial Imitation Learning Using Causal Invariance
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling
Approximation Bounds for Transformer Networks with Application to Regression
Data-driven reduced order models using invariant foliations, manifolds and autoencoders
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net
Generalizing Brain Decoding Across Subjects with Deep Learning
Offline Handwritten Recognition of Malayalam District Name - A Holistic Approach
Ludwig: a type-based declarative deep learning toolbox
Learning with Heterogeneous Side Information Fusion for Recommender Systems
EmbeddingGemma: Powerful and Lightweight Text Representations
Advancing Expert Specialization for Better MoE
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions
A Lightweight and Transferable Design for Robust LEGO Manipulation
Rinascimento: searching the behaviour space of Splendor
Recursive, parameter-free, explicitly defined interpolation nodes for simplices
Translating Pro-Drop Languages with Reconstruction Models
A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations
Estimating cognitive biases with attention-aware inverse planning
OT-Net: A Reusable Neural Optimal Transport Solver
Fuzzy Label: From Concept to Its Application in Label Learning
Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
Fission: A Provably Fast, Scalable, and Secure Permissionless Blockchain
Offline reinforcement learning with uncertainty for treatment strategies in sepsis
Artwork Explanation in Large-scale Vision Language Models
Assessing the Role of Data Quality in Training Bilingual Language Models
Segmentation of 3D Dental Images Using Deep Learning
SealMates: Supporting Communication in Video Conferencing using a Collective Behavior-Driven Avatar
Cake-Cutting with Different Entitlements: How Many Cuts are Needed?
On Oligopoly Spectrum Allocation Game in Cognitive Radio Networks with Capacity Constraints
Simple Full-Spectrum Correlated k-Distribution Model based on Multilayer Perceptron
Schödinger Bridge Type Diffusion Models as an Extension of Variational Autoencoders
S 3 Track: Self-supervised Tracking with Soft Assignment Flow
Novel Methodologies for Solving the Inverse Unsteady Heat Transfer Problem of Estimating the Boundary Heat Flux in Continuous Casting Molds
Secrecy Performance of Body-Centric Communications over Alternate Rician Shadowed Fading Channels
The Value of Operational Coordination for EV Fleet Aggregators
Large independent sets in triangle-free cubic graphs: beyond planarity
Sympathy over Polarization: A Computational Discourse Analysis of Social Media Posts about the July 2024 Trump Assassination Attempt
Structured decentralized control of positive systems with applications to combination drug therapy and leader selection in directed networks
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with Accuracy Loss Estimator
Integrated or Segregated? User Behavior Change after Cross-Party Interactions on Reddit
MDBench: Benchmarking Data-Driven Methods for Model Discovery
Tetrahedra and Relative Directions in Space, Using 2 and 3-Space Simplexes for 3-Space Localization
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption
MT-Net Submission to the Waymo 3D Detection Leaderboard
Heteroscedastic Bandits with Reneging
Applied Deep Learning to Identify and Localize Polyps from Endoscopic Images
Mixed Gated/Exhaustive Service in a Polling Model with Priorities
Advancing Few-Shot Pediatric Arrhythmia Classification with a Novel Contrastive Loss and Multimodal Learning
A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X Autonomous Driving
Data-Centric Long-Tailed Image Recognition
Confederated Learning: Federated Learning with Decentralized Edge Servers
An extended MABAC for multi-attribute decision making using trapezoidal interval type-2 fuzzy numbers
Novel Component Based Development Model For Sip-Based Mobile Application
Research on the Construction of Maximum Distance Separable Codes via Arbitrary twisted Generalized Reed-Solomon Codes
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
𝔽 2 𝔽 4 -Additive Complementary Dual Codes
What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub
Discovering Optimal Robust Minimum Redundancy Arrays (RMRAs) through Exhaustive Search and Algebraic Formulation of a New Sub-Optimal RMRA
M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models
Inband device-to-device relays in cellular networks
Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps
An FPT Algorithm for Directed Spanning k-Leaf
An exploration of the effect of quantisation on energy consumption and inference time of StarCoder2
An Improved Algorithm based on Shannon-Happ Formula for Calculating Transfer Function from Signal Flow Graph and Its Visualization
LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure
Learn-Apply-Reinforce/Share Learning: Hackathons and CTFs as General Pedagogic Tools in Higher Education, and Their Applicability to Distance Learning
MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video
Dynamic attitude planning for trajectory tracking in underactuated VTOL UAVs
Mitigating Privacy Risks in LLM Embeddings from Embedding Inversion
End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph
Perturbed and Permuted: Signal Integration in Network-Structured Dynamic Systems
A model of human collective decision-making in complex environments
CARD: Cache-Assisted Parallel Speculative Decoding for Efficient Large Language Model Inference
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks
Self-stabilizing uncoupled dynamics
Neural Network-based Two-Dimensional Filtering for OTFS Symbol Detection
Linear Polytree Structural Equation Models: Structural Learning and Inverse Correlation Estimation
MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation
Automatic identification of segmentation errors for radiotherapy using geometric learning
Dimension reduction for large-scale stochastic systems with non-zero initial states and controlled diffusion
Exploiting Latent Attack Semantics for Intelligent Malware Detection
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts
A polynomial-time algorithm for the ground state of one-dimensional gapped Hamiltonians
Robust supervised learning under uncertainty in dataset shift
Studying the scientific mobility and international collaboration funded by the China Scholarship Council
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding
StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
Solving SDD linear systems in time Õ(mlog nlog(1/ε))
SageAttention2++: A More Efficient Implementation of SageAttention2
This Candidate is [MASK]. Letters of Reference and Job Market Outcomes using LLMs
A new class of splitting methods that preserve ergodicity and exponential integrability for stochastic Langevin equation
On vertex coloring without monochromatic triangles
On viewing SpaceX Starlink through the Social Media Lens
Building pattern recognition applications with the SPARE library
Data Traceability for Privacy Alignment
Sensitive instances of the Constraint Satisfaction Problem
Delay and Throughput Optimal Scheduling for OFDM Broadcast Channels
Dominant subspace and low-rank approximations from block Krylov subspaces without a gap
Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study
Security Considerations for Virtual Reality Systems
Dynamical Computing on the Nanoscale: Superconducting Circuits for Thermodynamically-Efficient Classical Information Processing
First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Atomic Activity Recognition 2024
Rethinking Improved Privacy-Utility Trade-off with Pre-existing Knowledge for DP Training
Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark
Can underwater robotics technology save submerged Cultural Heritage?
New advances in universal approximation with neural networks of minimal width
JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction
Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction
A Mimamsa Inspired Framework For Instruction Sequencing In AI Agents
Are energy savings the only reason for the emergence of bird echelon formation?
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization
Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields
EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
A Survey of Mobile Computing for the Visually Impaired
Deep Learning-aided Application Scheduler for Vehicular Safety Communication
Data Mining Techniques: A Source for Consumer Behavior Analysis
Should Bank Stress Tests Be Fair?
A New Paradigm for Quantum Nonlocality
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
Tokenization Tractability for Human and Machine Learning Model: An Annotation Study
A New Frontier for Pull-Based Graph Processing
On the Illusion of Success: An Empirical Study of Build Reruns and Silent Failures in Industrial CI
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
A Constraint Satisfaction Approach to Decision under Uncertainty
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
Knowledge Management for Cloud Computing Field
Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies
A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation
Local List Recovery of High-rate Tensor Codes and Applications
A Deep DUAL-PATH Network for Improved Mammogram Image Processing
Identification of Flaws in the Design of Signatures for Intrusion Detection Systems
Identifying relevant Factors of Requirements Quality: an industrial Case Study
Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection
YOLO-based Bearing Fault Diagnosis With Continuous Wavelet Transform
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD
Rate $(n-1)/n$ Systematic MDS Convolutional Codes over $GF(2^m)$
Dominant Frequency Extraction
A semi-Lagrangian discontinuous Galerkin (DG) - local DG method for solving convection-diffusion-reaction equations
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding
Navigation Method Enhancing Music Listening Experience by Stimulating Both Neck Sides with Modulated Music Vibration
Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning
A Linear Model for Distributed Flexibility Markets and DLMPs: A Comparison with the SOCP Formulation
PPNet: A Novel Neural Network Structure for End-to-End Near-Optimal Path Planning
Online matching and market imbalance
Patch Is Not All You Need
Liquid Humans - Pedestrian Simulator based on the LWR-model
Flexible model composition in machine learning and its implementation in MLJ
What Looks Good with my Sofa: Multimodal Search Engine for Interior Design
Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images
SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors
A Fault-Tolerant Distributed Detection of Two Simultaneous Events in Wireless Sensor Networks
Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery
Matrix oriented reduction of space-time Petrov-Galerkin variational problems
Reconfigurable Intelligent Surfaces for THz: Hardware Design and Signal Processing Challenges
PySPH: a Python-based framework for smoothed particle hydrodynamics
InterVLS: Interactive Model Understanding and Improvement with Vision-Language Surrogates
Superpixels algorithms through network community detection
Securing Accelerators with Dynamic Information Flow Tracking
Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
An Empirical Study on the Amount of Changes Required for Merge Request Acceptance
A Weighted Generalization of the Graham-Diaconis Inequality for Ranked List Similarity
Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata
Accessible tables in digital documents
Enriched Mixtures of Gaussian Process Experts
Principal Manifold Flows
Model Monitoring in the Absence of Labeled Data via Feature Attributions Distributions
Active Perception and Modeling of Deformable Surfaces using Gaussian Processes and Position-based Dynamics
IBGS: Image-Based Gaussian Splatting
Improved bounded-strength decoupling schemes for local Hamiltonians
Example-Based Vulnerability Detection and Repair in Java Code
Clinical Expert Uncertainty Guided Generalized Label Smoothing for Medical Noisy Label Learning
Multilayer spintronic neural networks with radio-frequency connections
Space-based gravitational wave signal detection and extraction with deep neural network
Binary optimal linear codes from posets of the disjoint union of two chains
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Communication under Strong Asynchronism
A Valuation Framework for Customers Impacted by Extreme Temperature-Related Outages
From Attribution to Action: Jointly ALIGNing Predictions and Explanations
Harmony: A Unified Framework for Modality Incremental Learning
Analysis of Embeddings Learned by End-to-End Machine Learning Eye Movement-driven Biometrics Pipeline
BDDC preconditioners for virtual element approximations of the three-dimensional Stokes equations
Deep-learning-based coupled flow-geomechanics surrogate model for CO 2 sequestration
Meta-learning for fast classifier adaptation to new users of Signature Verification systems
Computing the Ball Size of Frequency Permutations under Chebyshev Distance
Pseudo-Random Bit Generation based on 2D chaotic maps of logistic type and its Applications in Chaotic Cryptography
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey
Fuzzy Logic based Autonomous Parking Systems - Part IV: A Multiple-Model Adaptive Neural-Fuzzy Controller
Local Randomized Neural Networks with Hybridized Discontinuous Petrov-Galerkin Methods for Stokes-Darcy Flows
Rate-distortion function via minimum mean square error estimation
Tree decompositions with small width, spread, order and degree
Cross-lingual Approach to Abstractive Summarization
From Data to Knowledge Graphs: A Multi-Layered Method to Model User's Visual Analytics Workflow for Analytical Purposes
A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds
Recognition from Hand Cameras
Shortest Path Lengths in Poisson Line Cox Processes: Approximations and Applications
Complexity of scheduling on parallel identical machines to minimize total flow time with interval data and minmax regret criterion
Towards Inference-Oriented Reading Comprehension: ParallelQA
The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications
Variants of the Finite Element Method for the Parabolic Heat Equation: Comparative Numerical Study
Batch-oriented software appliances
Simultaneous robust subspace recovery and semi-stability of quiver representations
Turing machine interaction problem
Speeding up Memory-based Collaborative Filtering with Landmarks
Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction
The TRUNC element in any dimension and application to a modified Poisson equation
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction
Distributed Kalman Filter in a Network of Linear Dynamical Systems
PCB-Fire: Automated Classification and Fault Detection in PCB
Coordinated Home Energy Management for Real-Time Power Balancing
Improving S&P stock prediction with time series stock similarity
Adversarial Text-to-Image Synthesis: A Review
The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing
Computational Capabilities of Random Automata Networks for Reservoir Computing
NTK-Guided Implicit Neural Teaching
Spectrophotometers for Labs: a Cost-efficient Solution based on Smartphones
TediGAN: Text-Guided Diverse Image Generation and Manipulation
Vprop: Variational Inference using RMSprop
An Empirical Study on Budget-Aware Online Kernel Algorithms for Streams of Graphs
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
On Hyperbolic Embeddings in 2D Object Detection
An upper bound on community size in scalable community detection
PROOF as a Service on the Cloud: a Virtual Analysis Facility based on the CernVM ecosystem
MFLP: Most Frequent Least Power Encoding
Rapid Convergence of the Unadjusted Langevin Algorithm: Log-Sobolev Suffices
Adaptive generative moment matching networks for improved learning of dependence structures
Accelerating CS in Parallel Imaging Reconstructions Using an Efficient and Effective Circulant Preconditioner
An Introduction to Deep Reinforcement and Imitation Learning
Options as responses: Grounding behavioural hierarchies in multi-agent RL
DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser
Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components
About Notations in Multiway Array Processing
Configurable DOA Estimation using Incremental Learning
The Advancement of Personalized Learning Potentially Accelerated by Generative AI
Supervisor Localization of Discrete-Event Systems under Partial Observation
Heterogeneous substitution systems revisited
State Constrained Model Reference Adaptive Control with Input Amplitude and Rate Limits
Neural Closure Models for Dynamical Systems
Tractable Asymmetric Verification for Large Language Models via Deterministic Replicability
Cross-Domain Sequential Recommendation via Neural Process
Evaluating the Potential of a Laplacian Linear Solver
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
A Declarative Language for Building And Orchestrating LLM-Powered Agent Workflows
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
Hawkes-based cryptocurrency forecasting via Limit Order Book data
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder