yusuke1997/dblp-id-title huggingface dataset:
An explainability framework for cortical surface-based deep learning
Increase Alpha: Performance and Risk of an AI-Driven Trading Framework
Understanding Goal-Oriented Active Learning via Influence Functions
On Fake Accuracy Verification
Graph approach for observability analysis in power system dynamic state estimation
Divergence-free tangential finite element methods for incompressible flows on surfaces
AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict
Vector valued optimal transport: from dynamic to static formulations
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
Efficient Network Structures with Separable Heterogeneous Connection Costs
Scalable Bilevel Loss Balancing for Multi-Task Learning
Genetic Algorithms and Quantum Computation
ASGO: Adaptive Structured Gradient Optimization
Spark Transformer: Reactivating Sparsity in FFN and Attention
Resolving Tensions between Congestion Control Scaling Requirements
Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors
Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance
Symbolic Runtime Verification for Monitoring under Uncertainties and Assumptions
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
IGA : An Intent-Guided Authoring Assistant
A Polynomial Time Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search
ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
Negation-Induced Forgetting in LLMs
Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities
Corporate Disruption in the Science of Machine Learning
Toward a Better Localization of Princeton WordNet
Sensorless Adaptive Vibration Suppression in Two-Mass Systems via Joint Estimation of Controller Parameters and System States
Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving
Robust multi-party semi-quantum private comparison protocols with decoherence-free states against collective noises
Robust Support Vector Machines for Speaker Verification Task
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters - A Bayesian Approach
Unleashing the Potential of CNNs for Interpretable Few-Shot Learning
M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
D-iteration: evaluation of the update algorithm
DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
A simple case of rationality of escalation
Practical implementation of a quantum backtracking algorithm
BAdd: Bias Mitigation through Bias Addition
GeneNet VR: Interactive visualization of large-scale biological networks using a standalone headset
Quantum Annealing for Enhanced Feature Selection in Single-Cell RNA Sequencing Data Analysis
Parameter choice strategies for regularized least squares approximation of noisy continuous functions on the unit circle
On Cavity Approximations for Graphical Models
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation
Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations
Researches on Dynamic Load Balancing Algorithms and hp-Adaptivity in 3-D Parallel Adaptive Finite Element Computations
PhaGO: Protein function annotation for bacteriophages by integrating the genomic context
Variational Equalities of Directed Information and Applications
Protocol for Clustering 4DSTEM Data for Phase Differentiation in Glasses
Taxonomy and synthesis of Web services querying languages
A Revised Classification of Anonymity
A Morphology-aware Network for Morphological Disambiguation
Feature Extraction for Change-Point Detection using Stationary Subspace Analysis
Linking Behavior in the PER Coauthorship Network
Acceleration-as-a-μService: A Cloud-native Monte-Carlo Option Pricing Engine on CPUs, GPUs and Disaggregated FPGAs
Multiuser Communication through Power Talk in DC MicroGrids
Bezier surfaces with prescribed diagonals
CTR: Checkpoint, Transfer, and Restore for Secure Enclaves
Terrier: A Deep Learning Repeat Classifier
Privacy protection under the exposure of systems' prior information
Global universal approximation of functional input maps on weighted spaces
Probabilistic Conformance for Cyber-Physical Systems
The Influence of Frequency Containment Reserve Flexibilization on the Economics of Electric Vehicle Fleet Operation
Empirical Formal Methods: Guidelines for Performing Empirical Studies on Formal Methods
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
Statistical properties of lambda terms
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness
On the Consistency of GNN Explanations for Malware Detection
U-SEANNet: A Simple, Efficient and Applied U-Shaped Network for Diagnosing Nasal Diseases from Nasal Endoscopic Images
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit
Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
Greedy Multi-step Off-Policy Reinforcement Learning
Diffusion Forcing for Multi-Agent Interaction Sequence Modeling
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm
A Deep-Learning Method Using Auto-encoder and Generative Adversarial Network for Anomaly Detection on Ancient Stone Stele Surfaces
Data-driven Trust Bootstrapping for Mobile Edge Computing-based Industrial IoT Services
A 100 mA Low Voltage Linear Regulators for Systems on Chip Applications Using 0.18 μm CMOS Technology
Global, and Local Optimization Beamforming for Acoustic Broadband Sources
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
Stability estimates for radial basis function methods applied to time-dependent hyperbolic PDEs
Explaining Agent Behavior with Large Language Models
Deep Learning in Science
Recent Advances in Reinforcement Learning in Finance
ETC: Encoding Long and Structured Data in Transformers
Hyperflows: Pruning Reveals the Importance of Weights
A Misreport- and Collusion-Proof Crowdsourcing Mechanism without Quality Verification
Better To Ask in English? Evaluating Factual Accuracy of Multilingual LLMs in English and Low-Resource Languages
Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment
When Can Memorization Improve Fairness?
Seamless Rate Adaptation at Receiver Side for Indoor Visible Light Communications by Using Raptor Codes
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning
Comparing Mutation Coverage Against Branch Coverage in an Industrial Setting
HapticGiant: A Novel Very Large Kinesthetic Haptic Interface with Hierarchical Force Control
Deep Learning Techniques for In-Crop Weed Identification: A Review
An investigation of speaker independent phrase break models in End-to-End TTS systems
Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid
An Algorithm for Computing Lipschitz Inner Functions in Kolmogorov's Superposition Theorem
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations
Efficient Nudged Elastic Band Method using Neural Network Bayesian Algorithm Execution
Learning Personalized Scoping for Graph Neural Networks under Heterophily
Geometric Graph Learning with Extended Atom-Types Features for Protein-Ligand Binding Affinity Prediction
Active Perception with Initial-State Uncertainty: A Policy Gradient Method
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Classical Mathematics for a Constructive World
CoUn: Empowering Machine Unlearning via Contrastive Learning
Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology
Designing Reality-Based VR Interfaces for Geological Uncertainty
Accuracy Improvement for Stiffness Modeling of Parallel Manipulators
A Vision-Guided Robotic System for Grasping Harvested Tomato Trusses in Cluttered Environments
Optimal Regulation of Nonlinear Input-Affine Systems via an Integral Reinforcement Learning-Based State-Dependent Riccati Equation Approach
Knowledge Tagging with Large Language Model based Multi-Agent System
Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network
Towards General-Purpose Representation Learning of Polygonal Geometries
On instruction sets for Boolean registers in program algebra
Model-based graph reinforcement learning for inductive traffic signal control
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based Image Retrieval
A Unified Framework for Trace-induced Quantum Kernels
A Novel Reconfigurable Architecture of a DSP Processor for Efficient Mapping of DSP Functions using Field Programmable DSP Arrays
A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance
Alleviating the Transit Timing Variations bias in transit surveys. II. RIVERS: Twin resonant Earth-sized planets around Kepler-1972 recovered from Kepler's false positive
A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint
Pop-out vs. Glue: A Study on the pre-attentive and focused attention stages in Visual Search tasks
Personality testing of GPT-3: Limited temporal reliability, but highlighted social desirability of GPT-3's personality instruments results
Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs
Second-order flows for approaching stationary points of a class of non-convex energies via convex-splitting schemes
Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review
Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks
Fine-tune Language Models to Approximate Unbiased In-context Learning
Large Language Models for Power System Applications: A Comprehensive Literature Survey
BanglaMATH : A Bangla benchmark dataset for testing LLM mathematical reasoning at grades 6, 7, and 8
CodeMirage: Hallucinations in Code Generated by Large Language Models
Classifying the Clique-Width of $H$-Free Bipartite Graphs
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression
Learning Hamiltonian Systems with Pseudo-symplectic Neural Network
XML Information Retrieval: An overview
Modeling fonts in context of counteraction of electromagnetic eavesdropping process
Experimental Validation for Distributed Control of Energy Hubs
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain
Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning
Lebesgue integration. Detailed proofs to be formalized in Coq
On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network
DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization
Sum-of-Squares Lower Bounds for Independent Set in Ultra-Sparse Random Graphs
On topological lower bounds for algebraic computation trees
Can Artificial Intelligence Accelerate Technological Progress? Researchers' Perspectives on AI in Manufacturing and Materials Science
The ROMES method for statistical modeling of reduced-order-model error
FlySearch: Exploring how vision-language models explore
Modified RRT* for Path Planning in Autonomous Driving
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
AI for Agile development: a Meta-Analysis
Stress-Aware Learning under KL Drift via Trust-Decayed Mirror Descent
Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures
Power Control and Interference Management in Dense Wireless Networks
A Data-driven Reduced Order Modeling Approach Applied In Context Of Numerical Analysis And Optimization Of Plastic Profile Extrusion
An Aligning and Training Framework for Multimodal Recommendations
Universal Fingerprint Generation: Controllable Diffusion Model with Multimodal Conditions
OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base
Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions
Modeling excitable cells with the EMI equations: spectral analysis and iterative solution strategy
APEIRON: composing smart TDAQ systems for high energy physics experiments
LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model
A convergent scheme for the Bayesian filtering problem based on the Fokker-Planck equation and deep splitting
Coverage-based Outlier Explanation
A New Robust Algorithm for Computation of a Triangle Circumscribed Sphere in E3 and a Hypersphere Simplex
A Survey on Federated Fine-tuning of Large Language Models
The Cerny Conjecture
PREC: semantic translation of property graphs
Aligned: A Platform-based Process for Alignment
Safe and Secure Smart Home using Cisco Packet Tracer
An Improved Pseudo-Polynomial Upper Bound for the Value Problem and Optimal Strategy Synthesis in Mean Payoff Games
Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data
Natural Language-based Assessment of L2 Oral Proficiency using LLMs
Continual Learning via Inter-Task Synaptic Mapping
SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM
Leveraging Pre-trained Models for Failure Analysis Triplets Generation
Interactive Masked Image Modeling for Multimodal Object Detection in Remote Sensing
Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
A Natural Dynamics for Bargaining on Exchange Networks
GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency
FAST-LIO, Then Bayesian ICP, Then GTSFM
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
Robopinion: Opinion Mining Framework Inspired by Autonomous Robot Navigation
Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration
Robust Distributed Control within a Curve Virtual Tube for a Robotic Swarm under Self-Localization Drift and Precise Relative Navigation
Algorithmic Distortion of Informational Landscapes
Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis
GMatch: Geometry-Constrained Feature Matching for RGB-D Object Pose Estimation
Testing Quantum Programs with Multiple Subroutines
Fraunhofer SIT at CheckThat 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution
LightSeq: Accelerated Training for Transformer-based Models on GPUs
3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
Emotionally Enriched Feedback via Generative AI
Interactive algorithms: From pool to stream
Modal Logic for Stratified Becoming: Actualization Beyond Possible Worlds
The Kubernetes Security Landscape: AI-Driven Insights from Developer Discussions
A type reduction theory for systems with replicated components
Parallel Computing Based Solution for Reliability-Constrained Distribution Network Planning
Extending Regev's factoring algorithm to compute discrete logarithms
Attacking Neural Binary Function Detection
CoTaP: Compliant Task Pipeline and Reinforcement Learning of Its Controller with Compliance Modulation
State-based Episodic Memory for Multi-Agent Reinforcement Learning
On the hull and interval numbers of oriented graphs
Traditional sufficient conditions for Nash implementation may fail on Internet
Feature-Style Encoder for Style-Based GAN Inversion
From Essence to Defense: Adaptive Semantic-aware Watermarking for Embedding-as-a-Service Copyright Protection
From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration
Land Cover Image Classification
An Information-Theoretic Intersectional Data Valuation Theory
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Monitoring fairness in machine learning models that predict patient mortality in the ICU
On the design of fixed-gain tracking filters by pole placement: Or an introduction to applied signals-and-systems theory for engineers
RC Measurement Uncertainty Estimation Method for Directive Antennas and Turntable Stirring
An Analysis of the Consequences of the General Data Protection Regulation (GDPR) on Social Network Research
Active Dual-Gated Graphene Transistors for Low-Noise, Drift-Stable, and Tunable Chemical Sensing
Means-fit effectivity
Backing the Wrong Horse: How Bit-Level Netlist Augmentation can Counter Power Side Channel Attacks
Editing Personality for LLMs
Concurrent Data Structures Made Easy (Extended Version)
Learning Patient Engagement in Care Management: Performance vs. Interpretability
L'accessibilité des E-services aux personnes non-voyantes : difficultés d'usage et recommandations
Towards Open Intent Detection
Spanish Biomedical and Clinical Language Embeddings
Bidirectional TLS Handshake Caching for Constrained Industrial IoT Scenarios
High Capacity Reversible Data Hiding in Encrypted 3D mesh models Based on multi-MSB Prediction
Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs
Enhancing Fairness in AI-based Travel Demand Forecasting Models
FMDA-OT: Federated Multi-source Domain Adaptation Through Optimal Transport
Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
μ-MAR: Multiplane 3D Marker based Registration for Depth-sensing Cameras
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars
Sharing and Learning Alloy on the Web
Typical behavior of the linear programming method for combinatorial optimization problems: From a statistical-mechanical perspective
Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos
A Posteriori Single- and Multi-Goal Error Control and Adaptivity for Partial Differential Equations
Sampling Using Neural Networks for colorizing the grayscale images
Global Patterns of Human Synchronization
Human-AI Collaborative Uncertainty Quantification
Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions
MSNet: A Deep Multi-scale Submanifold Network for Visual Classification
XP-MARL: Auxiliary Prioritization in Multi-Agent Reinforcement Learning to Address Non-Stationarity
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments
Binary Modelling and Capacity-Approaching Coding for the IM/DD Channel
PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting
Current and Future Challenges in Knowledge Representation and Reasoning
Self-Adaptation and Secure Information Flow in Multiparty Structured Communications: A Unified Perspective
Dock Assignment and Truck Scheduling Problem; Consideration of Multiple Scenarios with Resource Allocation Constraints
Reducing Cubic Metric of Circularly Pulse-Shaped OFDM Signals Through Constellation Shaping Optimization With Performance Constraints
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
Optimized Training for Multi-Antenna Wireless Energy Transfer in Frequency-Selective Channel
Dealing with Zero Density Using Piecewise Phase-type Approximation
TV News Commercials Detection using Success based Locally Weighted Kernel Combination
Parameterised Complexity of Propositional Logic in Team Semantics
SplitReason: Learning To Offload Reasoning
Survival prediction using ensemble tumor segmentation and transfer learning
NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering
Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing
Time-optimal persistent homology representatives for univariate time series
Generating All Partitions: A Comparison Of Two Encodings
Robust Multi-Read Reconstruction from Contaminated Clusters Using Deep Neural Network for DNA Storage
Dynamic Top-$k$ Dominating Queries
Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation
Label Alignment and Reassignment with Generalist Large Language Model for Enhanced Cross-Domain Named Entity Recognition
Locally Private Nonparametric Contextual Multi-armed Bandits
Digital Resistance during COVID-19: A Workflow Management System of Contactless Purchasing and Its Empirical Study of Customer Acceptance
Benchmarking Android Malware Detection: Rethinking the Role of Traditional and Deep Learning Models
Predictive Probability Path Planning Model For Dynamic Environments
Naming the Pain in Requirements Engineering: A Design for a Global Family of Surveys and First Results from Germany
Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel
Towards Interactive, Adaptive and Result-aware Big Data Analytics
Mining Weighted Sequential Patterns in Incremental Uncertain Databases
Enhancing Negation Awareness in Universal Text Embeddings: A Data-efficient and Computational-efficient Approach
From Quantifying Vagueness To Pan-niftyism
Latent Diffusion Prior Enhanced Deep Unfolding for Spectral Image Reconstruction
M-convexity of the minimum-cost packings of arborescences
From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI
Proceedings Programming Language Approaches to Concurrency- and Communication-cEntric Software, PLACES@ETAPS 2019, Prague, Czech Republic, 7th April 2019
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering
Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning
BFA: Real-time Multilingual Text-to-speech Forced Alignment
Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors