Cover Image

Workplace Location Choice Model based on Deep Neural Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rastogi, Tanay, Karlström, Anders
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Population Synthesis using Incomplete Information
by: Rastogi, Tanay, et al.
Published: (2025)

Model-based traffic state estimation using camera-equipped probe vehicles
by: Rastogi, Tanay, et al.
Published: (2023)

Target Population Synthesis using CT-GAN
by: Rastogi, Tanay, et al.
Published: (2025)

Information Geometry of Bounded Rationality: Entropy--Regularised Choice with Hyperbolic and Elliptic Quantum Geometries
by: Karlström, Anders, et al.
Published: (2026)

Towards Location-Specific Precipitation Projections Using Deep Neural Networks
by: Kumar, Bipin, et al.
Published: (2025)

Modeling Reference-dependent Choices with Graph Neural Networks
by: Zhang, Liang, et al.
Published: (2024)

DeepHalo: A Neural Choice Model with Controllable Context Effects
by: Zhang, Shuhan, et al.
Published: (2026)

Manifold regularization based on Nystr{ö}m type subsampling
by: Rastogi, Abhishake, et al.
Published: (2017)

Double Difference Earthquake Location with Graph Neural Networks
by: McBrearty, Ian W., et al.
Published: (2024)

Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
by: Huch, Easton, et al.
Published: (2026)

Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
by: Villarraga, Daniel F., et al.
Published: (2025)

Exploring Design Choices for Autoregressive Deep Learning Climate Models
by: Gallusser, Florian, et al.
Published: (2025)

Statistical Inverse Problems in Hilbert Scales
by: Rastogi, Abhishake
Published: (2022)

NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode Choice
by: Zhou, Yuqi, et al.
Published: (2025)

On the Neural Feature Ansatz for Deep Neural Networks
by: Tansley, Edward, et al.
Published: (2025)

On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
by: Harder, Paula, et al.
Published: (2025)

Learning Guarantee of Reward Modeling Using Deep Neural Networks
by: Luo, Yuanhang, et al.
Published: (2025)

Mixture of Linear Models Co-supervised by Deep Neural Networks
by: Seo, Beomseok, et al.
Published: (2021)

Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
by: Thielmann, Anton, et al.
Published: (2023)

DeepRTE: Pre-trained Attention-based Neural Network for Radiative Transfer
by: Zhu, Yekun, et al.
Published: (2025)

AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
by: Watanabe, Chihiro, et al.
Published: (2021)

On the Stability of Neural Networks in Deep Learning
by: Delattre, Blaise
Published: (2025)

Mathematical Modeling and Convergence Analysis of Deep Neural Networks with Dense Layer Connectivities in Deep Learning
by: Huang, Jinshu, et al.
Published: (2025)

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
by: Hekler, Achim, et al.
Published: (2025)

Model Based and Physics Informed Deep Learning Neural Network Structures
by: Mohammad-Djafari, Ali, et al.
Published: (2024)

The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity
by: Sahs, Justin, et al.
Published: (2025)

Lattice-based Deep Neural Networks: Regularity and Tailored Regularization
by: Keller, Alexander, et al.
Published: (2026)

DeepCDCL: An CDCL-based Neural Network Verification Framework
by: Liu, Zongxin, et al.
Published: (2024)

Bayesian Deep Learning for Discrete Choice
by: Villarraga, Daniel F., et al.
Published: (2025)

Deep Grokking: Would Deep Neural Networks Generalize Better?
by: Fan, Simin, et al.
Published: (2024)

Discrete-Choice Model with Generalized Additive Utility Network
by: Nishi, Tomoki, et al.
Published: (2023)

Deep Operator Neural Network Model Predictive Control
by: de Jong, Thomas Oliver, et al.
Published: (2025)

Large-scale Score-based Variational Posterior Inference for Bayesian Deep Neural Networks
by: Kim, Minyoung
Published: (2026)

Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks
by: Sheinkman, Alisa, et al.
Published: (2025)

Limits of Generalization in RLVR: Two Case Studies in Mathematical Reasoning
by: Alam, Md Tanvirul, et al.
Published: (2025)

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling
by: Kim, Yuriy, et al.
Published: (2025)

Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
by: Han, Yankun
Published: (2025)

Deep Neural Network-Driven Adaptive Filtering
by: Wang, Qizhen, et al.
Published: (2025)

Self-similarity Analysis in Deep Neural Networks
by: Ding, Jingyi, et al.
Published: (2025)

TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
by: Liang, Shuang, et al.
Published: (2025)