yusuke1997/dblp-id-title huggingface dataset:
Accelerating shape optimization by deep neural networks with on-the-fly determined architecture
A variant of the h-index to measure recent performance
Pr{é}diction optimale pour un mod{è}le ordinal {à} covariables fonctionnelles
Joint Reconstruction of Spatially-Coherent and Realistic Clothed Humans and Objects from a Single Image
DeepIrisNet2: Learning Deep-IrisCodes from Scratch for Segmentation-Robust Visible Wavelength and Near Infrared Iris Recognition
I-SOAS towards Product Data Management (PDM) based Application's Problems
Querying Attack-Fault-Defense Trees: Property Specification in Smart Grid and Aerospace Case Studies
Model Predictive Control For Mobile Manipulators Based On Neural Dynamics(Extended version)
Control contraction metrics on Lie groups
On the smallest eigenvalues of the line graphs of some trees
Dissipativity-Based Distributed Control and Communication Topology Co-Design for Voltage Regulation and Current Sharing in DC Microgrids
Reasoning About Knowledge of Unawareness
A Robust Solution Procedure for Hyperelastic Solids with Large Boundary Deformation
A Riccati-Lyapunov Approach to Nonfeedback Capacity of MIMO Gaussian Channels Driven by Stable and Unstable Noise
Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Persistently Exciting Tube MPC
Approximation algorithms for the MAXSPACE advertisement problem
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs
Utilization of domain knowledge to improve POMDP belief estimation
Why we have switched from building full-fledged taxonomies to simply detecting hypernymy relations
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation
THAP: A Matlab Toolkit for Learning with Hawkes Processes
Compact pneumatic clutch with integrated stiffness variation and position feedback
Referring Change Detection in Remote Sensing Imagery
Decarbonization pathways for liquid fuels: A multi-sector energy system perspective
Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources
Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning
Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
Semivalue-based data valuation is arbitrary and gameable
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning
Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language
Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning
A Comprehensive Guide to Enhancing Antibiotic Discovery Using Machine Learning Derived Bio-computation
Reinforced Coloring for End-to-End Instance Segmentation
Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline
From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction
Motion Primitives based Path Planning with Rapidly-exploring Random Tree
A Survey on the application of Data Science And Analytics in the field of Organised Sports
Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers
AlphaFold Distillation for Improved Inverse Protein Folding
Boost Distribution System Restoration with Emergency Communication Vehicles Considering Cyber-Physical Interdependence
Minimum Label s-t Cut has Large Integrality Gaps
Rare Genomic Subtype Discovery from RNA-seq via Autoencoder Embeddings and Stability-Aware Clustering
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution
Improving Android Malware Detection Through Data Augmentation Using Wasserstein Generative Adversarial Networks
Comments Regarding 'On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes'
One Pass ImageNet
PAC-Bayes with Minimax for Confidence-Rated Transduction
The Entropy of Parallel Systems
Semi-Unified Sparse Dictionary Learning with Learnable Top-K LISTA and FISTA Encoders
TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding
Tool Support of Formal Methods for Privacy by Design
Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes
An Analytical Study of a Structured Overlay in the presence of Dynamic Membership
Deadzone-Adapted Disturbance Suppression Control for Global Practical IOS and Zero Asymptotic Gain to Matched Uncertainties
Evaluating Wireless Reactive Routing Protocols with Linear Programming Model for Wireless Ad-hoc Networks
Abductive explanations of classifiers under constraints: Complexity and properties
Cactus: Issues for Sustainable Simulation Software
A novel recommendation system to match college events and groups to students
PLUTUS: A Well Pre-trained Large Unified Transformer can Unveil Financial Time Series Regularities
Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer
HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities
Performance analysis of a RIS-assisted communications
MobileOcc: A Human-Aware Semantic Occupancy Dataset for Mobile Robots
Cap the Gap: Solving the Egoistic Dilemma under the Transaction Fee-Incentive Bitcoin
LLM-based policy generation for intent-based management of applications
Reconstructing S-matrix Phases with Machine Learning
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection
An Event-Based Stack For Data Transmission Through Underwater Multimodal Networks
Braid: Weaving Symbolic and Statistical Knowledge into Coherent Logical Explanations
Generating Querying Code from Text for Multi-Modal Electronic Health Record
A Novel Approach for Semiconductor Etching Process with Inductive Biases
MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering
Efficient Implementation of Multi-Channel Convolution in Monolithic 3D ReRAM Crossbar
Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems
DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
Data-Driven Cellular Mobility Management via Bayesian Optimization and Reinforcement Learning
Emergent Structure in Multi-agent Systems Using Geometric Embeddings
SwarmHawk: Self-Sustaining Multi-Agent System for Landing on a Moving Platform through an Agent Supervision
Secure and Explainable Fraud Detection in Finance via Hierarchical Multi-source Dataset Distillation
Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches
A Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism
UniLight: A Unified Representation for Lighting
Heads in the Clouds: Measuring the Implications of Universities Migrating to Public Clouds
Learning language variations in news corpora through differential embeddings
The Quest for Scalability and Accuracy in the Simulation of the Internet of Things: an Approach based on Multi-Level Simulation
Energy management and flexibility quantification in a discrete event distribution grid simulation
A New Perspective on the Windows Scheduling Problem
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand
Sharp Lower Bounds on the Manifold Widths of Sobolev and Besov Spaces
Exploiting symmetry for discrete-time reachability computations
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Improving AlphaFlow for Efficient Protein Ensembles Generation
Closed-Form Bounds to the Rice and Incomplete Toronto Functions and Incomplete Lipschitz-Hankel Integrals
FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval
iNNvestigate neural networks!
Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition
Ordering without forbidden patterns
Educational Twin: The Influence of Artificial XR Expert Duplicates on Future Learning
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks
VM placement over WDM-TDM AWGR PON Based Data Centre Architecture
Toward Identification and Characterization of IoT Software Update Practices
SliceFine: The Universal Winning-Slice Hypothesis for Pretrained Networks
Building LEGO Using Deep Generative Models of Graphs
Generative Modeling of Random Fields from Limited Data via Constrained Latent Flow Matching
Station Keeping through Beacon-referenced Cyclic Pursuit
Learnable Visual Words for Interpretable Image Recognition
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs
Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques
Leveraging Social-Network Infrastructure to Improve Peer-to-Peer Overlay Performance: Results from Orkut
Inner-approximate Reachability Computation via Zonotopic Boundary Analysis
A 3D wavelet-based incompressible Navier-Stokes solver for fully adaptive computations in time-varying geometries
Automated Image-Based Identification and Consistent Classification of Fire Patterns with Quantitative Shape Analysis and Spatial Location Identification
Hierarchical Learning for Generation with Long Source Sequences
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models
Fast Generalized Matrix Regression with Applications in Machine Learning
Secure Degrees of Freedom for the MIMO Wire-tap Channel with a Multi-antenna Cooperative Jammer
How an unintended Side Effect of a Research Project led to Boosting the Power of UML
A Survey of Deep Learning Approaches for OCR and Document Understanding
Excited-state nonadiabatic dynamics in explicit solvent using machine learned interatomic potentials
Operational solar flare forecasting via video-based deep learning
Fisher entropic Fokker-Planck model of monatomic rarefied gases
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction
A coupled high-accuracy phase-field fluid-structure interaction framework for Stokes fluid-filled fracture surrounded by an elastic medium
RoboANKLE: Design, Development, and Functional Evaluation of a Robotic Ankle with a Motorized Compliant Unit
Analysis of Security in OS-Level Virtualization
Optimal L-Systems for Stochastic L-system Inference Problems
Binary words avoiding xx^Rx and strongly unimodal sequences
Addressing Purchase-Impression Gap through a Sequential Re-ranker
Sharper Bounds for Chebyshev Moment Matching with Applications to Differential Privacy and Beyond
Lost in Translation and Noise: A Deep Dive into the Failure Modes of VLMs on Real-World Tables
A stochastic LATIN method for stochastic and parameterized elastoplastic analysis
Dynamic Collaborative Filtering with Compound Poisson Factorization
MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection
A Human-optimized Model Predictive Control Scheme and Extremum Seeking Parameter Estimator for Slip Control of Electric Race Cars
Adversarially Trained Model Compression: When Robustness Meets Efficiency
Tight PAC-Bayesian Risk Certificates for Contrastive Learning
Dual-Layer Training and Decoding of Large Language Model with Simultaneously Thinking and Speaking
Research networks generated by organizational structures, co-authorships and citations: A Case Study of German Centre for Integrative Biodiversity Research (iDiv)
An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Online Speaker Diarization with Graph-based Label Generation
Detection of Winding Axial Deformation in Power Transformers by UWB Radar Imaging
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices
Deep Reinforcement Learning for Decentralized Multi-Robot Control: A DQN Approach to Robustness and Information Integration
An Incremental Path-Following Splitting Method for Linearly Constrained Nonconvex Nonsmooth Programs
Can Large Language Models be Effective Online Opinion Miners?
The way we cite: common metadata used across disciplines for defining bibliographic references
A Pure Transformer Pretraining Framework on Text-attributed Graphs
Jamming Attacks on Federated Learning in Wireless Networks
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
On the Consistency and Performance of the Iterative Bayesian Update
Stabilization of the Gradient Method for Solving Linear Algebraic Systems - A Method Related to the Normal Equation
A Quasi-Linear Time Algorithm Deciding Whether Weak Büchi Automata Reading Vectors of Reals Recognize Saturated Languages
Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection
PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning Projects
UUV's Hierarchical DE-based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network
Product Subset Problem : Applications to number theory and cryptography
PriSampler: Mitigating Property Inference of Diffusion Models
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Tree-Sliced Wasserstein Distance on a System of Lines
Adjacency and Tensor Representation in General Hypergraphs.Part 2: Multisets, Hb-graphs and Related e-adjacency Tensors
NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces
Behavioral subtyping through typed assertions
Bidirectional Generative Modeling Using Adversarial Gradient Estimation
Multi-Class Detection and Segmentation of Objects in Depth
Navigating the Topology of 2x2 Games: An Introductory Note on Payoff Families, Normalization, and Natural Order
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records
Learning to Solve Climate Sensor Placement Problems with a Transformer
On recursive computation of coprime factorizations of rational matrices
Taking snapshots from a stream
Bluetooth-based COVID-19 Proximity Tracing Proposals: An Overview
Encryption based on Conference Matrix
CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
A Random Number Generator Built from Repurposed Hardware in Embedded Systems
Mechanism-Based Intelligence (MBI): Differentiable Incentives for Rational Coordination and Guaranteed Alignment in Multi-Agent Systems
Brazilian Favela Women: How Your Standard Solutions for Technology Abuse Might Actually Harm Them
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning
Signal Detection under Short-Interval Sampling of Continuous Waveforms for Optical Wireless Scattering Communication
Serious Games in Digital Gaming: A Comprehensive Review of Applications, Game Engines and Advancements
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
A Unified Framework for Dynamic Analysis of Tensegrity Structures with Arbitrary Rigid Bodies and Rigid Bars
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts
Optimal Design of the Adaptive Normalized Matched Filter Detector
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images
ByteSized32Refactored: Towards an Extensible Interactive Text Games Corpus for LLM World Modeling and Evaluation
Bayesian Experimental Design via Contrastive Diffusions
Analysis of the Symmetric Join the Shortest Orbit Queue
Towards Robustness against Unsuspicious Adversarial Examples
Exploring Augmented Reality Games in Accessible Learning: A Systematic Review
Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed Graphs
ScrollTest: Evaluating Scrolling Speed and Accuracy
A k-hop Collaborate Game Model: Extended to Community Budgets and Adaptive Non-Submodularity
"Can you feel the vibes?": An exploration of novice programmer engagement with vibe coding
Geometric Learning and Topological Inference with Biobotic Networks: Convergence Analysis
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living with Dementia
HieroAction: Hierarchically Guided VLM for Fine-Grained Action Analysis
Vibration Improves Performance in Granular Jamming Grippers
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization
A Comparative Review Of Internet Protocol Version 4 (IPv4) and Internet Protocol Version 6 (IPv6)
Automatic clustering of Celtic coins based on 3D point cloud pattern analysis
Dimensionally Constrained Symbolic Regression
Challenges and characterization of a Biological system on Grid by means of the PhyloGrid application
Data dependent Moving Least Squares
Exploring the Grassroots Understanding and Practices of Collective Memory Co-Contribution in a University Community
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays
There are (other) ways to negate in propositional team semantics
Fractional Reduced Differential Transform Method for Belousov-Zhabotinsky reaction model
What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity
Stochastic Optimization of Large-Scale Parametrized Dynamical Systems
Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee
Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking
End-to-end Decentralized Multi-robot Navigation in Unknown Complex Environments via Deep Reinforcement Learning
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
Generation of Curved Meshes for the High-Lift Common Research Model
Machine learning dynamical phase transitions in complex networks
Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
Learning Cross-lingual Visual Speech Representations
A qualitative field study on explainable AI for lay users subjected to AI cyberattacks
Inverse Chance Constrained Optimal Power Flow
LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space
On Solving Word Equations via Program Transformation
A XML Based Datagrid Description Language
What Averages Do Not Tell - Predicting Real Life Processes with Sequential Deep Learning
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces
Hand Shape and Gesture Recognition using Multiscale Template Matching, Background Subtraction and Binary Image Analysis
Efficient Two-Layered Monitor for Partially Synchronous Distributed Systems (Technical Report)
Renyi partial orders for BISO channels
Efficient Downlink Channel Probing and Uplink Feedback in FDD Massive MIMO Systems
Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models
Location-aided Distributed Primary User Identification in a Cognitive Radio Scenario
Logic of Sets with Atoms
floZ: Evidence estimation from posterior samples with normalizing flows
Model Inversion Attacks Meet Cryptographic Fuzzy Extractors
Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q -Learning
Large Language Models for Mathematical Analysis
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
Cybertrust: From Explainable to Actionable and Interpretable AI (AI2)
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
Design and Performance Characterization of RADICAL-Pilot on Titan
From Provable Correctness to Probabilistic Generation: A Comparative Review of Program Synthesis Paradigms
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts
EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance
The gradient discretisation method for the chemical reactions of biochemical systems
Natural Language Mechanisms via Self-Resolution with Foundation Models
Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program
XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference
Cross Modification Attention Based Deliberation Model for Image Captioning
Harnessing The Multi-Stability Of Kresling Origami For Reconfigurable Articulation In Soft Robotic Arms
An In-depth Survey of Large Language Model-based Artificial Intelligence Agents
Accelerating jackknife resampling for the Canonical Polyadic Decomposition
An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data
Multi-Agent Low-Dimensional Linear Bandits
ξ-Based adaptive phase field model for quasi-static anti-plane fracture
Quantifying topological invariants of neuronal morphologies
Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy
An Improved Two-Party Negotiation Over Continues Issues Method Secure Against Manipulatory Behavior
Online Coherence Identification Using Dynamic Time Warping for Controlled Islanding
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Enhancing Secrecy with Multi-Antenna Transmission in Millimeter Wave Vehicular Communication Systems
A Semi-Analytical Method for Calculating Revisit Time for Satellite Constellations with Discontinuous Coverage
A Multiple-Entanglement Routing Framework for Quantum Networks
Spot: A Natural Language Interface for Geospatial Searches in OSM
Composite Metrics for Network Security Analysis
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization
HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone
Dimensionality Reduction and Reconstruction using Mirroring Neural Networks and Object Recognition based on Reduced Dimension Characteristic Vector
Irreducible Frequent Patterns in Transactional Databases
Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models
Securing Electronic Transactions to Support E-Commerce
Evolutionary Alternating Direction Method of Multipliers for Constrained Multi-Objective Optimization with Unknown Constraints
Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images
Automatic Non-Linear Video Editing Transfer
Proceedings of Third Workshop on Robots and Sensors integration in future rescue INformation system (ROSIN 2013)
Measuring Déjà vu Memorization Efficiently
Joint remote state preparation (JRSP) of two-qubit equatorial state in quantum noisy channels