yusuke1997/dblp-id-title huggingface dataset:
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models
Towards Safe Reinforcement Learning Using NMPC and Policy Gradients: Part I - Stochastic case
Towards A Theory-Of-Mind-Inspired Generic Decision-Making Framework
Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search
Building Efficient Lightweight CNN Models
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Nonparametric General Reinforcement Learning
Robust Rotation Synchronization via Low-rank and Sparse Matrix Decomposition
On the evaluation of (meta-)solver approaches
Creating Publishing Accounts for University Professors on Global Scientific Websites (ORCID, Research Gate, Google Scholar)
Liver segmentation and metastases detection in MR images using convolutional neural networks
Fusion of ML with numerical simulation for optimized propeller design
RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
Tri-Learn Graph Fusion Network for Attributed Graph Clustering
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis
Boundary Attention: Learning to Find Faint Boundaries at Any Resolution
A deterministic polynomial time algorithm for non-commutative rational identity testing
JokeMeter at SemEval-2020 Task 7: Convolutional humor
Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network
Enabling Fingerprint Presentation Attacks: Fake Fingerprint Fabrication Techniques and Recognition Performance
Quality and Quantity of Machine Translation References for Automated Metrics
Natural Language Processing to Enhance Deliberation in Political Online Discussions: A Survey
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense
T 3 OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area
On Cartesian line sampling with anisotropic total variation regularization
Cooperative Multi-Agent Assignment over Stochastic Graphs via Constrained Reinforcement Learning
Towards Strong Certified Defense with Universal Asymmetric Randomization
Mechanism Design of a Bio-inspired Armwing Mechanism for Mimicking Bat Flapping Gait
Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation
Architecture Compression
Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning
From Temporal Models to Property-Based Testing
Deciding When Not to Decide: Indeterminacy-Aware Intrusion Detection with NeutroSENSE
Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End
Real-World Data and Calibrated Simulation Suite for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Buildings for Environmental Sustainability
Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
Multi-dimensional Signal Recovery using Low-rank Deconvolution
For Those Who May Find Themselves on the Red Team
Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis for Large Reasoning Models
Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes
High-fidelity GAN Inversion with Padding Space
Dynamics of Bitcoin mining
On Recovering Latent Factors From Sampling And Firing Graph
Scalable Percolation Search in Power Law Networks
An Approach to Select Cost-Effective Risk Countermeasures Exemplified in CORAS
Active Learning by Query by Committee with Robust Divergences
On the Generalization of Wasserstein Robust Federated Learning
An All-Reduce Compatible Top-K Compressor for Communication-Efficient Distributed Learning
Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms
Controlling Extra-Textual Attributes about Dialogue Participants - A Case Study of English-to-Polish Neural Machine Translation
An Experimental Investigation of Secure Communication With Chaos Masking
Moral reinforcement learning using actual causation
ITs, a structure sensitive information theory
A Provably Correct Algorithm for Deep Learning that Actually Works
An Analytical Model for Stepwise Adiabatic Driver Energy Consumption
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation
On positivity preservation of hybrid discontinuous Galerkin methods on hypergraphs
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints
Harnessing the Deep Net Object Models for Enhancing Human Action Recognition
Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms
Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks
A Max-Flow Min-Cut Theorem with Applications in Small Worlds and Dual Radio Networks
Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review
Signal Localization, Decomposition and Dictionary Learning on Graphs
Discovery data topology with the closure structure. Theoretical and practical aspects
A New Approach to Manage QoS in Distributed Multimedia Systems
rECGnition_v2.0: Self-Attentive Canonical Fusion of ECG and Patient Data using deep learning for effective Cardiac Diagnostics
STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
Development of a Evaluation Tool for Age-Appropriate Software in Aging Environments: A Delphi Study
Limitations of refinement methods for weak to strong generalization
Bluetooth Data Exchange Between Android Phones Without Pairing
SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation
Differentiable Learning of Logical Rules for Knowledge Base Completion
Machine-to-Machine (M2M) Communications in Software-defined and Virtualized Cellular Networks
Handling Students Dropouts in an LLM-driven Interactive Online Course Using Language Models
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration
Neural Disease Named Entity Extraction with Character-based BiLSTM+CRF in Japanese Medical Text
Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning
Semantic Coded Transmission: Architecture, Methodology, and Challenges
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency
Software Effort Estimation using Neuro Fuzzy Inference System: Past and Present
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
On the Poisson Stability to Study a Fourth-Order Dynamical System with Quadratic Nonlinearities
phi-FEM for the heat equation: optimal convergence on unfitted meshes in space
Google, How Should I Vote? How Users Formulate Search Queries to Find Political Information on Search Engines
Functional-analytical reconstruction of high contrast inhomogeneities
Advancing Large Language Models for Tibetan with Curated Data and Continual Pre-Training
Video coding technique with parametric modeling of noise
Traceable Black-box Watermarks for Federated Learning
Surprising Performances of Students with Autism in Classroom with NAO Robot
Learning-Based Finite Element Methods Modeling for Complex Mechanical Systems
A software-defined architecture for control of IoT Cyberphysical Systems
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation
TracrBench: Generating Interpretability Testbeds with Large Language Models
Model-Free Robust Reinforcement Learning with Linear Function Approximation
Evaluating Performance Consistency in Competitive Programming: Educational Implications and Contest Design Insights
What is Human-Centeredness in Human-Centered AI? Development of Human-Centeredness Framework and AI Practitioners' Perspectives
Joint Source-Channel Coding with One-Bit ADC Front End
Ergodic Control of Multiclass Multi-Pool Parallel Server Systems in the Halfin-Whitt Regime
Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory
Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
Robust and Feature-Preserving Offset Meshing
Linear Laws of Markov Chains with an Application for Anomaly Detection in Bitcoin Prices
Team JL Solution to Google Landmark Recognition 2019
Negative 3D gadgets in origami extrusions with a supporting triangle on the back side
Green NFTs: A Study on the Environmental Impact of Cryptoart Technologies
Difference-Based Deep Learning Framework for Stress Predictions in Heterogeneous Media
Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings
Bifurcated Generative Flow Networks
Data-Driven Persuasion
Beyond Single Instance Multi-view Unsupervised Representation Learning
Using machine learning to create high-efficiency freeform illumination design tools
A dependent nominal type theory
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence
Reliable and Reproducible Demographic Inference for Fairness in Face Analysis
Neural relation extraction: a survey
The Mixed Page Number of Graphs
Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning
LTM3D: Bridging Token Spaces for Conditional 3D Generation with Auto-Regressive Diffusion Framework
Gradient and Variable Tracking with Multiple Local SGD for Decentralized Non-Convex Learning
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification
Contrastive Learning for Knowledge-Based Question Generation in Large Language Models
RadioActive: 3D Radiological Interactive Segmentation Benchmark
Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision
Probabilistic Rotation Representation With an Efficiently Computable Bingham Loss Function and Its Application to Pose Estimation
CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities
Variance Estimation For Online Regression via Spectrum Thresholding
On the Complexity of Exploration in Goal-Driven Navigation
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
PoAct: Policy and Action Dual-Control Agent for Generalized Applications
Fuzzy Hierarchical Multiplex
Exploring the Diversity of Music Experiences for Deaf and Hard of Hearing People
Faster Reachability in Static Graphs
Residual Tangent Kernels
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing
On the identifiability of mixtures of ranking models
On the correlation between a level of structure order and properties of composites. In Memory of Yu.L. Klimontovich
Sequential Monte Carlo approximations of Wasserstein-Fisher-Rao gradient flows
Deep Learning and Data Assimilation for Real-Time Production Prediction in Natural Gas Wells
On Epsilon-Nets, Distance Oracles, and Metric Embeddings
Construction of Cyclic and Constacyclic Codes for b-symbol Read Channels Meeting the Plotkin-like Bound
Pseudo-random sequences for low-cost operando impedance measurements of Li-ion batteries
Learning the Effect of Registration Hyperparameters with HyperMorph
Enumerating combinatorial triangulations of the hexahedron
The Aging Effect in Evolving Scientific Citation Networks
Navigating the Digital Chain in Concrete 3D Printing
A Fourier Approach to the Parameter Estimation Problem for One-dimensional Gaussian Mixture Models
P1-KAN an effective Kolmogorov Arnold Network for function approximation
Fully Distributed Adaptive Output Feedback Protocols for Linear Multi-Agent Systems with Directed Graphs: A Sequential Observer Design Approach
RIS-Aided Free-Space Optics Communications in A2G Networks over Inverted Gamma-Gamma Turbulent Channels
Barrier Enabled IO Stack for Flash Storage
Security Concerns in IoT Light Bulbs: Investigating Covert Channels
Series Representation of Modified Bessel Functions and Its Application in AF Cooperative systems
A.I. In All The Wrong Places
Better Pose Initialization for Fast and Robust 2D/3D Pelvis Registration
Functional Maps Representation on Product Manifolds
Automotive-ENV: Benchmarking Multimodal Agents in Vehicle Interface Systems
LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms
T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
How Should Voice Assistants Deal With Users' Emotions?
Spectral Temporal Contrastive Learning
Size and Depth Separation in Approximating Natural Functions with Neural Networks
Heat transfer in buildings : application to air solar heating and Trombe wall design
Shape Optimization of Eigenfrequencies in MEMS Gyroscopes
Random Linear Network Codes for Secrecy over Wireless Broadcast Channels
Charts and atlases for nonlinear data-driven models of dynamics on manifolds
Interpretable collective intelligence of non-rational human agents
Towards Refinable Choreographies
NVSPolicy: Adaptive Novel-View Synthesis for Generalizable Language-Conditioned Policy Learning
A Novel Move-To-Front-or-Logarithmic Position (MFLP) Online List Update Algorithm
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
The MUG-10 Framework for Preventing Usability Issues in Mobile Application Development
Comparing Computational Architectures for Automated Journalism
Size-Aware Dispatching to Fluid Queues
Privacy-preserving Federated Brain Tumour Segmentation
Enhancement Of Coded Speech Using a Mask-Based Post-Filter
Wasserstein Distributionally Robust Regret Optimization
Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey
EDA-Driven Preprocessing for SAT Solving
Improving choice model specification using reinforcement learning
AI Poincaré: Machine Learning Conservation Laws from Trajectories
Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks
Are weighted games sufficiently good for binary voting?
Consensus-based optimization methods converge globally in mean-field law
An algebraic approach to symmetric extended formulations
Lagarto I-Una plataforma hardware/software de arquitectura de computadoras para la academia e investigación
ZeroBlock: Preventing Selfish Mining in Bitcoin
Outer Bounds for Multiple Access Channels with Feedback using Dependence Balance
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features
Area/latency optimized early output asynchronous full adders and relative-timed ripple carry adders
Phonemic and Graphemic Multilingual CTC Based Speech Recognition
Quadratic-Curve-Lifted Reed-Solomon Codes
Advancement on Security Applications of Private Intersection Sum Protocol
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
Learning Multi-Class Neural-Network Models from Electroencephalograms
Lexicographic products and the power of non-linear network coding
The condition number of singular subspaces
Effective training-time stacking for ensembling of deep neural networks
Learning to Solve Job Shop Scheduling under Uncertainty
Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization
Yordle: An Efficient Imitation Learning for Branch and Bound
Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition
Momentum-based gradient descent methods for Lie groups
FileDES: A Secure Scalable and Succinct Decentralized Encrypted Storage Network
VisRes Bench: On Evaluating the Visual Reasoning Capabilities of VLMs
idSTLPy: A Python Toolbox for Active Perception and Control
The NordDRG AI Benchmark for Large Language Models
Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding
Accelerating Material Property Prediction using Generically Complete Isometry Invariants
An approach for mistranslation removal from popular dataset for Indic MT Task
Dynamic single-input control of multi-state multi-transition soft robotic actuator
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images
Texture-aware and Shape-guided Transformer for Sequential DeepFake Detection
Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It
Development and evaluation of a deep learning algorithm for German word recognition from lip movements
FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design
Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts
Distribution of elliptic twins over fixed finite fields: Numerical results
Scheduler Technologies in Support of High Performance Data Analysis
SimCol3D - 3D Reconstruction during Colonoscopy Challenge
Navigating Robot Swarms Using Collective Intelligence Learned from Golden Shiner Fish
Distributed Fixed Point Methods with Compressed Iterates
A Cloud based Mobile Biometric Authentication Framework
Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation
A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines
Specifying and Verifying the Convergence Stairs of the Collatz Program
Trustworthy Edge Computing through Blockchains
Energy-Aware Dynamic Neural Inference
A Simulation Model for Evaluating Distributed Systems Dependability
Differentially Private Imaging via Latent Space Manipulation
Regular subgroups with large intersection
V-like formations in flocks of artificial birds
Peak detection for MALDI mass spectrometry imaging data using sparse frame multipliers
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
Learning a hyperplane regressor by minimizing an exact bound on the VC dimension
What can Data-Centric AI Learn from Data and ML Engineering?
Wireless Interference Identification with Convolutional Neural Networks
AV-Dialog: Spoken Dialogue Models with Audio-Visual Input
Benchmarking 3D Human Pose Estimation Models Under Occlusions
Bisimulation metric for Model Predictive Control
UniVerse-1: Unified Audio-Video Generation via Stitching of Experts
Hardened Paxos Through Consistency Validation
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition
Formal Logic Enabled Personalized Federated Learning Through Property Inference
Rapid Exploration of a 32.5M Compound Chemical Space with Active Learning to Discover Density Functional Approximation Insensitive and Synthetically Accessible Transitional Metal Chromophores
On the Performance Evaluation of Action Recognition Models on Transcoded Low Quality Videos
Piecewise Linear Valued Constraint Satisfaction Problems with Fixed Number of Variables
Multimodal diffusion geometry by joint diagonalization of Laplacians
RAMESSES, a Rank Metric Encryption Scheme with Short Keys
Finite-Time Error Analysis of Online Model-Based Q-Learning with a Relaxed Sampling Model
Frobenius structures in star-autonomous categories
Decade-long Emission Forecasting with an Ensemble Model in Taiwan
TripMD: Driving patterns investigation via Motif Analysis
Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models
Future Perspectives of Co-Simulation in the Smart Grid Domain
A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
About the survey of propagandistic messages in contemporary social media
Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data
The Ethics of Biosurveillance
HoTT formalisation in Coq: Dependency Graphs \& ML4PG
Multi-marginal temporal Schrödinger Bridge Matching for video generation from unpaired data
Cardinality Estimation on Hyper-relational Knowledge Graphs
Value-aware Quantization for Training and Inference of Neural Networks
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic
Reachability problems for PAMs
On Temporal References in Emergent Communication
Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things
Optimal transport for causal discovery
Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales
JPS-daprinfo: A Dataset for Japanese Dialog Act Analysis and People-related Information Detection
A bifurcation threshold for contact-induced language change
3D Human Pose Regression using Graph Convolutional Network
RB-FT: Rationale-Bootstrapped Fine-Tuning for Video Classification
Ballistocardiogram-based Authentication using Convolutional Neural Networks
SVLA: A Unified Speech-Vision-Language Assistant with Multimodal Reasoning and Speech Generation
Approximate Stream Analytics in Apache Flink and Apache Spark Streaming
The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims
HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models
Interdisciplinary Research Methodologies in Engineering Education Research
Toward Formalizing Teleportation of Pedagogical Artificial Agents
Self-Gradient Networks
Thumb Assistance Via Active and Passive Exotendons in a Robotic Hand Orthosis for Stroke
Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling
Linear-Complexity Black-Box Randomized Compression of Hierarchically Block Separable Matrices
sudo rm -rf agentic_security
Interpretable Link Prediction in AI-Driven Cancer Research: Uncovering Co-Authorship Patterns
BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
μ-Net: ConvNext-Based U-Nets for Cosmic Muon Tomography
Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Review
Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found
ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts
Attack-Resilient Weighted 𝓁 1 Observer with Prior Pruning
Blood capillaries and vessels segmentation in optical coherence tomography angiogram using fuzzy C-means and Curvelet transform
Touching Art - A Method for Visualizing Tactile Experience
Transformer Based Language Models for Similar Text Retrieval and Ranking
Generic photonic integrated linear operator processor
Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective
Modeling community structure and topics in dynamic text networks
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence
D-STEER - Preference Alignment Techniques Learn to Behave, not to Believe - Beneath the Surface, DPO as Steering Vector Perturbation in Activation Space
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective
Iterative Design of L_p Digital Filters