:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Jonathan Y., Xie, Yao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.06894
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An alternative approach to train neural networks using monotone variational inequality
by: Xu, Chen, et al.
Published: (2022)

Conformal prediction for multi-dimensional time series by ellipsoidal sets
by: Xu, Chen, et al.
Published: (2024)

Nonlinear functional regression by functional deep neural network with kernel embedding
by: Shi, Zhongjie, et al.
Published: (2024)

Tracking solutions of time-varying variational inequalities
by: Hadiji, Hédi, et al.
Published: (2024)

Anomaly detection by partitioning of multi-variate time series
by: Lotte, Pierre, et al.
Published: (2025)

Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control
by: Zhang, Qi, et al.
Published: (2024)

Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
by: Brachet, Alexis-Raja, et al.
Published: (2024)

Topology-driven identification of repetitions in multi-variate time series
by: Schindler, Simon, et al.
Published: (2025)

Counterfactual identifiability beyond global monotonicity: non-monotone triangular structural causal models
by: Tan, Pengcheng, et al.
Published: (2026)

Quantum reservoir computing in Jaynes-Cummings models: Nonlinear memory and time-series prediction
by: Das, Sreetama, et al.
Published: (2025)

Q-learning as a monotone scheme
by: Yang, Lingyi
Published: (2024)

Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
by: Li, Fengyi, et al.
Published: (2024)

Grey-informed neural network for time-series forecasting
by: Xie, Wanli, et al.
Published: (2024)

Efficient numeracy in language models through single-token number embeddings
by: Kreitner, Linus, et al.
Published: (2025)

Identification and estimation for matrix time series CP-factor models
by: Chang, Jinyuan, et al.
Published: (2024)

Made to Order: Discovering monotonic temporal changes via self-supervised video ordering
by: Yang, Charig, et al.
Published: (2024)

Torus embeddings
by: Stowell, Dan
Published: (2026)

Ridge Estimation with Nonlinear Transformations
by: Zhai, Zheng, et al.
Published: (2023)

Multiscale replay: A robust algorithm for stochastic variational inequalities with a Markovian buffer
by: Nakul, Milind, et al.
Published: (2026)

Point processes with event time uncertainty
by: Cheng, Xiuyuan, et al.
Published: (2024)

Online high-precision prediction method for injection molding product weight by integrating time series/non-time series mixed features and feature attention mechanism
by: Li, Maoyuan, et al.
Published: (2025)

Universal hidden monotonic trend estimation with contrastive learning
by: Pineau, Edouard, et al.
Published: (2022)

Smoothness and monotonicity constraints for neural networks using ICEnet
by: Richman, Ronald, et al.
Published: (2023)

Physics-embedded Fourier Neural Network for Partial Differential Equations
by: Xu, Qingsong, et al.
Published: (2024)

Temporal Fusion Nexus: A task-agnostic multi-modal embedding model for clinical narratives and irregular time series in post-kidney transplant care
by: Kumar, Aditya, et al.
Published: (2026)

A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization
by: Berahas, Albert S., et al.
Published: (2023)

Online Conformal Prediction: Enforcing monotonicity via Online Optimization
by: Rivera, Eduardo Ochoa, et al.
Published: (2026)

The language of time: a language model perspective on time-series foundation models
by: Xie, Yi, et al.
Published: (2025)

Online monotone density estimation and log-optimal calibration
by: Hore, Rohan, et al.
Published: (2026)

oRANS: Online optimisation of RANS machine learning models with embedded DNS data generation
by: Dehtyriov, Daniel, et al.
Published: (2025)

An exact multiple-time-step variational formulation for the committor and the transition rate
by: Lorpaiboon, Chatipat, et al.
Published: (2025)

Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
by: Kulkarni, Omkar, et al.
Published: (2024)

Stochastic variance reduced extragradient methods for solving hierarchical variational inequalities
by: Dvurechensky, Pavel, et al.
Published: (2026)

Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2024)

Predictive variational inference: Learn the predictively optimal posterior distribution
by: Lai, Jinlin, et al.
Published: (2024)

On time series clustering with k-means
by: Holder, Christopher, et al.
Published: (2024)

asKAN: Active Subspace embedded Kolmogorov-Arnold Network
by: Zhou, Zhiteng, et al.
Published: (2025)

Size and depth of monotone neural networks: interpolation and approximation
by: Mikulincer, Dan, et al.
Published: (2022)

Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction
by: Zhou, Anni, et al.
Published: (2025)

KANMixer: a minimal KAN-centered mixer for long-term time series forecasting
by: Jiang, Lingyu, et al.
Published: (2025)