yusuke1997/dblp-id-title huggingface dataset:
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
High-dimensional reinforcement learning for optimization and control of ultracold quantum gases
Hermite neural operator for solving partial differential equations on unbounded domains *
IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer's disease markers
Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy
Depthwise-dilated convolutional adapters for medical object tracking and segmentation using the segment anything model 2
Estimating truncation effects of quantum bosonic systems using sampling algorithms
Trainability issues in quantum policy gradients
SPIKANs: separable physics-informed Kolmogorov-Arnold networks
High-dimensional potential energy surfaces for molecular simulations: from empiricism to machine learning
An active learning enhanced data programming (ActDP) framework for ECG time series
Inferring dark matter substructure with astrometric lensing beyond the power spectrum
Fast kernel methods for data quality monitoring as a goodness-of-fit test
Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations
Fast regression of the tritium breeding ratio in fusion reactors
An end-to-end trainable hybrid classical-quantum classifier
Controlling optical-cavity locking using reinforcement learning
ChemLit-QA: a human evaluated dataset for chemistry RAG tasks
Enhancing space sensor resilience with transfer learning in data-scarce scenarios
Improving the segmentation of scanning probe microscope images using convolutional neural networks
JefiAtten: an attention-based neural network model for solving Maxwell's equations with charge and current sources
Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy
Heart disease prediction by tabular modeling with deep learning network and interpretability
Optimized multifidelity machine learning for quantum chemistry
Improved description of atomic environments using low-cost polynomial functions with compact support
Quantitative assessment of PINN inference on experimental data for gravity currents flows
Machine learning inspired models for Hall effects in non-collinear magnets
Neural predictor based quantum architecture search
Probing reaction channels via reinforcement learning
Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands
Error scaling laws for kernel classification under source and capacity conditions
Impact of non-normal error distributions on the benchmarking and ranking of quantum machine learning models
Feature selection for high-dimensional neural network potentials with the adaptive group lasso
Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning
Accelerate microstructure evolution simulation using graph neural networks with adaptive spatiotemporal resolution
Overcoming sparse datasets with multi-task learning as applied to high entropy alloys
Synergizing medical imaging and radiotherapy with deep learning
A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy
Calibrating Bayesian generative machine learning for Bayesiamplification
Machine learning for efficient grazing-exit x-ray absorption near edge structure spectroscopy analysis: Bayesian optimization approach
Material transformers: deep learning language models for generative materials design
Graph networks for molecular design
Process tomography of structured optical gates with convolutional neural networks
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification
Operationally meaningful representations of physical systems in neural networks
Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium
Intelligent processing of electromagnetic data using detrended and identification
d CG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design
Graph Neural Networks and 3-dimensional topology
Noise enhanced neural networks for analytic continuation
Mapping confinement potentials and charge densities of interacting quantum systems using conditional generative adversarial networks
Novel heuristic-based hybrid ResNeXt with recurrent neural network to handle multi class classification of sentiment analysis
Accelerating graph-based tracking tasks with symbolic regression
Matrix and tensor completion using tensor ring decomposition with sparse representation
Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility
Quantum computing model of an artificial neuron with continuously valued input data
Machine learning pipeline for quantum state estimation with incomplete measurements
Data-driven modeling of noise time series with convolutional generative adversarial networks ∗
Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design *
Advances in scientific literature mining for interpreting materials characterization
Evaluation of synthetic and experimental training data in supervised machine learning applied to charge-state detection of quantum dots
A differentiable programming method for quantum control
Using random forest for brain tissue identification by Raman spectroscopy
Statistically-informed deep learning for gravitational wave parameter estimation
Molecular relaxation by reverse diffusion with time step prediction
Exploration of transferable and uniformly accurate neural network interatomic potentials using optimal experimental design
Uncertainty quantification by ensemble learning for computational optical form measurements
CoRe optimizer: an all-in-one solution for machine learning
Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy alloys
Machine learning in physics: the pitfalls of poisoned training sets
Development and application of a high-dimensional neural network potential for boron carbide
Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Discriminative versus generative approaches to simulation-based inference
OmniJet-α: the first cross-task foundation model for particle physics
Enhancing a convolutional autoencoder with a quantum approximate optimization algorithm for image noise reduction
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models
Training quantum Boltzmann machines with the β-variational quantum eigensolver
Leveraging normalizing flows for orbital-free density functional theory
Adversarial reverse mapping of equilibrated condensed-phase molecular structures
Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson's disease even being under medication
Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives
Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder
Machine learning renormalization group for statistical physics
Circumventing data imbalance in magnetic ground state data for magnetic moment predictions
High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks
Attention-based quantum tomography
Multifidelity Kolmogorov-Arnold networks
Quantum complete graph self-attention network for particle flow classification
Coarse-grain cluster analysis of tensors with application to climate biome identification
Considering the ethics of large machine learning models in the chemical sciences
Adversarial domain adaptation to reduce sample bias of a high energy physics event classifier *
A high-performance and portable implementation of the SISSO method for CPUs and GPUs
Fast modeling and understanding fluid dynamics systems with encoder-decoder networks
Constraints on parameter choices for successful time-series prediction with echo-state networks
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired neural networks for the 3D microstructure evolution of materials via Cahn-Hilliard flow
QCPINN: quantum-classical physics-informed neural networks for solving PDEs
Advancing privacy-aware machine learning on sensitive data via edge-based continual µ-training for personalized large models
Triggering dark showers with conditional dual auto-encoders
Development of use-specific high-performance cyber-nanomaterial optical detectors by effective choice of machine learning algorithms
Structure-property maps with Kernel principal covariates regression
Training neural networks using Metropolis Monte Carlo and an adaptive variant
Thousands of reactants and transition states for competing E2 and S$_\mathrm{N}$2 reactions
Improving generative inverse design of molecular catalysts in small data regime
Active causal learning for decoding chemical complexities with targeted interventions
Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier
Qualitative and quantitative enhancement of parameter estimation for model-based diagnostics using automatic differentiation with an application to inertial fusion
The effects of topological features on convolutional neural networks - an explanatory analysis via Grad-CAM
GA-based weighted ensemble learning for multi-label aerial image classification using convolutional neural networks and vision transformers
Machine learning for analyzing and characterizing InAsSb-based nBn photodetectors
Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation
Causal hybrid modeling with double machine learning - applications in carbon flux modeling
SIGD: symmetry and interface guided diffusion architectures for inverse design engineering of 2D semiconductor materials
Hybrid vision transformer framework for efficient and explainable SEM image-based nanomaterial classification
Improving surrogate model accuracy for the LCLS-II injector frontend using convolutional neural networks and transfer learning
MatMMFuse: Multimodal fusion model for material property prediction
Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network
Machine learned environment-dependent corrections for a spds∗ empirical tight-binding basis
Pulse shape discrimination and exploration of scintillation signals using convolutional neural networks
Dynamic selectout and voting-based federated learning for enhanced medical image analysis
Parameter-free basis allocation for efficient multiple metric learning
A PNP ion channel deep learning solver with local neural network and finite element input data
Maven: a multimodal foundation model for supernova science
Outlook towards deployable continual learning for particle accelerators
Effectual pre-processing with quantization error elimination in pose detector with the aid of image-guided progressive graph convolution network (IGP-GCN) for multi-person pose estimation
Detecting symmetries with neural networks
Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning
Machine learning approach to force reconstruction in photoelastic materials
COVID-19 detection from lung CT-scan images using transfer learning approach
GPU optimization techniques to accelerate optiGAN - a particle simulation GAN
Interpretable machine learning model to predict survival days of malignant brain tumor patients
Unlearning regularization for Boltzmann machines
Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography
Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks
Novel automatic scorpion-detection and -recognition system based on machine-learning techniques
GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders
WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound
Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders
Neural networks for separation of cosmic gamma rays and hadronic cosmic rays in air shower observation with a large area surface detector array
Real-time confinement regime detection in fusion plasmas with convolutional neural networks and high-bandwidth edge fluctuation measurements
Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml
Breast cancer diagnosis through knowledge distillation of Swin transformer-based teacher-student models
A charge density prediction model for hydrocarbons using deep neural networks
32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery
Searching for ribbons with machine learning
Extending the relative seriality formalism for interpretable deep learning of normal tissue complication probability models
Transferring predictions of formation energy across lattices of increasing size
Improving the background of gravitational-wave searches for core collapse supernovae: a machine learning approach
Natural evolution strategies and variational Monte Carlo
Learning phases with quantum Monte Carlo simulation cell
Combining variational autoencoders and physical bias for improved microscopy data analysis ∗
Deeptime: a Python library for machine learning dynamical models from time series data
An assessment of the structural resolution of various fingerprints commonly used in machine learning
Spectrally adapted physics-informed neural networks for solving unbounded domain problems
Predicting excited states from ground state wavefunction by supervised quantum machine learning
Equivariant neural networks for spin dynamics simulations of itinerant magnets
Learning density functionals from noisy quantum data
'Flux+Mutability': a conditional generative approach to one-class classification and anomaly detection
Monochromatic image reconstruction via machine learning
Graph machine learning framework for depicting wavefunction on interface
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo
InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification
How isotropic kernels perform on simple invariants
Set-conditional set generation for particle physics
Neural message passing on high order paths
Assessing non-nested configurations of multifidelity machine learning for quantum-chemical properties
Lattice protein folding with variational annealing
A kinetic-based regularization method for data science applications
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems
Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD
Distilling particle knowledge for fast reconstruction at high-energy physics experiments
Neural network modeling of microstructure complexity using digital libraries *
Finetuning foundation models for joint analysis optimization in High Energy Physics
Image mapping the temporal evolution of edge characteristics in tokamaks using neural networks
Data-driven sparse modeling of oscillations in plasma space propulsion
Explainable Gaussian processes: a loss landscape perspective
Multi-lattice sampling of quantum field theories via neural operator-based flows
Graph neural networks in particle physics
Erratum: Improving the generative performance of chemical autoencoders through transfer learning (2020 Mach. Learn.: Sci. Technol. 1 045010)
Source-agnostic gravitational-wave detection with recurrent autoencoders
PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction
CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
Local classification of crystalline structures in complex plasmas using a PointNet
A multiscale and multicriteria generative adversarial network to synthesize 1-dimensional turbulent fields
An exponential reduction in training data sizes for machine learning derived entanglement witnesses
RydbergGPT
Evaluation of WMN-GA for different mutation operators
DCR-MAC: a data channel recommending MAC for multi-channel WLANs toward the higher throughput performance
Modelling and simulating a dynamic carpooling system for improving citizens mobility
Provisioning vehicular ad hoc networks with quality of service
Security challenges in the internet of things
Construction and maintenance of k-hop CDS in MANET with two classes of mobile terminals
Smart care spaces: needs for intelligent at-home care
Mobile ad hoc network communication for disaster recovery
A next generation emerging technologies roadmap for enabling collective computational intelligence in disaster management
Mobile relay assisted dynamic clustering in wireless sensor networks
An analysis method for eye motion and eye blink detection from colour images around ocular region
Data-centric communication strategy for wireless sensor networks
WebGL-based 3D furniture layout system using interactive evolutionary computation and its user evaluations
On the target channel sequence selection for multiple handoffs in cognitive radio-based wireless regional area networks
A survey on clustering algorithms for wireless sensor networks
Distributed urban traffic applications based on CORBA event services
Evaluations of commodity WiFi-based multihop access network for disaster recovery
A holding access-point assignment algorithm for IEEE802.11 wireless local-area networks
GPS availability prediction based on air-ground collaboration
Data transfer exploiting multiple heterogeneous challenged networks - implementation and application
Lightweight secure group communications for resource constrained devices
A throughput estimation model under two-link concurrent communications with partially overlapping channels and its application to channel assignment in IEEE 802.11n WLAN
A practical study on noise-tolerant PN code-based localisation attacks to internet threat monitors
A road condition monitoring system using various sensor data in vehicle-to-vehicle communication environment
A touch screen interface design with tactile feedback for practical applications
A secure lightweight two-factor authentication scheme in global mobility networks
Distributed exploratory coverage with limited mobility
A correction algorithm for stereo matching with general digital cameras and web cameras
Applying green metrics to optimise the energy consumption footprint of IT service centres
Efficient listen before technique for LTE-WiFi co-existence in unlicensed bands
Detection of the onset of agitation in patients with dementia: real-time monitoring and the application of big-data solutions
A study about integrating video contents with web services based on the RDF
An implementation and evaluation of IoT application development method based on real object-oriented model
Resource propagation algorithm considering predicates to complement knowledge bases in linked data
A time stamp-based elliptic curve cryptosystem for wireless ad-hoc sensor networks
A metaphorical house of Facebook: usage based on space syntax
Enterprise distributed service platform - network architecture and topology optimisation
Data privacy and anonymisation of simulated health-care dataset using the ARX open source tool
Location-based applications, services and technologies in aid of flight planning and GPS-based navigation for visual flight rules in developing countries: with a case study
Sensing, collecting, and discovering the home environment information for ecological lifestyle
A hierarchical outlier detection method for spare parts transaction
Evaluation of some optimisation techniques for semantic query answering on shared-nothing architecture
Correlating feedback capacity with degree of diffusion in heterogeneous complex networks
Effect of relay nodes and transmit power on end-to-end delay in multi-hop wireless ad hoc networks
Characterisation of router and link failure processes in UNINETT's IP backbone network
Human-to-human interfaces: emerging trends and challenges
Implementation of information collecting tools using mobile terminals useful for efficient infrastructure maintenance
Design and implementation of hiding method for file manipulation of essential services by system call proxy using virtual machine monitor
Investigation of diffracted fields in buildings and wedges: a comparison study
Distance measurement correction based on feedback filter for RSSI localisation technique in WSNs
A fast search and classification method of isomorphic polygons in LSI design data using geometric invariant feature value
A new system for supporting children with autism spectrum disorder based on IoT and P2P technology
SPM: split piecewise mapping for high quality wireless video delivery
Relational approaches to resource-aware multi-maxmin fairness in multi-valued resource sharing tasks
Use of wireless sensor networks for distributed event detection in disaster management applications
Training system for endoscopic surgery with haptic guide function and augmented reality
Bio-inspired-based approach for web services classification
Development of a mobile virtual traditional crafting presentation system using augmented reality technology
Towards an optimised traffic-aware routing in wireless mesh networks
A design-aware test code approach for code writing problem in Java programming learning assistant system
Content sharing method using expected acquisition rate in hybrid peer-to-peer networks with cloud storages
Classification extension based on IoT-big data analytic for smart environment monitoring and analytic in real-time system
Performance evaluation of mixed-bias scheduling schemes for wireless mesh networks
TeC: end-user development of software systems for smart spaces
Energy-efficient routing in wireless sensor networks using power-source type identification
Formally testing the protocol performances
A dynamic model for energy-efficiently migrating a group of virtual machines from a host server to a guest server
Prediction of sales volume based on the RFID data collected from apparel shops
SpACCE: a sophisticated ad hoc cloud computing environment built by server migration to facilitate distributed collaboration
On modelling network coded ARQ-based channels
An approach for developing an interoperability mechanism between cloud providers
Facial expression system using Japanese emotional linked data built from knowledge on the web
A large-scale network diagnosis system based on user-cooperative active measurements
Security in wireless sensor networks: a survey of attacks and countermeasures
Wireless distributed network system for relief activities after disasters - improvement of ANPI and ADES-Plus systems
MIMO host location optimisation in active access-point configuration algorithm for elastic WLAN system
Analysis and characteristics of diffracted waves going over building rooftop
Test-bed building process for context-aware peer-to-peer information retrieval evaluation
A construction-from-parts-type 3D modeller for digital fabrication
Introduction to content centric network architectures replacing traditional location centric network
Model driven development of user-centred context aware services
Adaptive security provisioning for vehicular safety applications
Resource management for raft consensus protocol
A low cost library navigation system by using Android devices and FeliCa cards
Structured design concept for cross-layered protocols; applying to near field communication (NFC)
Extraction of polarity comments from Nico Nico Douga