Saved in:
| Main Author: | K, Mithra D |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.02489 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
by: Manna, Alokesh, et al.
Published: (2024)
by: Manna, Alokesh, et al.
Published: (2024)
Multi-view mid fusion: a universal approach for learning in an HDLSS setting
by: Houthuys, Lynn
Published: (2025)
by: Houthuys, Lynn
Published: (2025)
Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data
by: Zhang, Mingming, et al.
Published: (2024)
by: Zhang, Mingming, et al.
Published: (2024)
Understanding When Poisson Log-Normal Models Outperform Penalized Poisson Regression for Microbiome Count Data
by: Agyapong, Daniel, et al.
Published: (2026)
by: Agyapong, Daniel, et al.
Published: (2026)
SE-MLP Model for Predicting Prior Acceleration Features in Penetration Signals
by: Li, Yankang, et al.
Published: (2025)
by: Li, Yankang, et al.
Published: (2025)
Understanding MLP-Mixer as a Wide and Sparse MLP
by: Hayase, Tomohiro, et al.
Published: (2023)
by: Hayase, Tomohiro, et al.
Published: (2023)
End to End Autoencoder MLP Framework for Sepsis Prediction
by: Cai, Hejiang, et al.
Published: (2025)
by: Cai, Hejiang, et al.
Published: (2025)
An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Discrete-time Competing-Risks Regression with or without Penalization
by: Meir, Tomer, et al.
Published: (2023)
by: Meir, Tomer, et al.
Published: (2023)
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture
by: Zhang, Linwei, et al.
Published: (2025)
by: Zhang, Linwei, et al.
Published: (2025)
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
by: Nie, Tong, et al.
Published: (2023)
by: Nie, Tong, et al.
Published: (2023)
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025)
by: Ramezani, Niloofar, et al.
Published: (2025)
Shape Constraints in Symbolic Regression using Penalized Least Squares
by: Martinek, Viktor, et al.
Published: (2024)
by: Martinek, Viktor, et al.
Published: (2024)
(GG) MoE vs. MLP on Tabular Data
by: Chernov, Andrei
Published: (2025)
by: Chernov, Andrei
Published: (2025)
From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
An All-MLP Sequence Modeling Architecture That Excels at Copying
by: Cui, Chenwei, et al.
Published: (2024)
by: Cui, Chenwei, et al.
Published: (2024)
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
by: Kim, Sanghee, et al.
Published: (2025)
by: Kim, Sanghee, et al.
Published: (2025)
Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
by: Nakamoto, Carter H., et al.
Published: (2025)
by: Nakamoto, Carter H., et al.
Published: (2025)
Rethinking the shape convention of an MLP
by: Chen, Meng-Hsi, et al.
Published: (2025)
by: Chen, Meng-Hsi, et al.
Published: (2025)
M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction
by: Jin, Guangyin, et al.
Published: (2025)
by: Jin, Guangyin, et al.
Published: (2025)
HyperMLP: An Integrated Perspective for Sequence Modeling
by: Lu, Jiecheng, et al.
Published: (2026)
by: Lu, Jiecheng, et al.
Published: (2026)
Spatial Transfer Learning with Simple MLP
by: Yang, Hongjian
Published: (2024)
by: Yang, Hongjian
Published: (2024)
Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
by: Lee, Byunghee, et al.
Published: (2025)
by: Lee, Byunghee, et al.
Published: (2025)
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
by: Zhang, Tongtong, et al.
Published: (2024)
by: Zhang, Tongtong, et al.
Published: (2024)
A Significantly Better Class of Activation Functions Than ReLU Like Activation Functions
by: Noel, Mathew Mithra, et al.
Published: (2024)
by: Noel, Mathew Mithra, et al.
Published: (2024)
Performance Evaluation of Deep Learning Models for Water Quality Index Prediction: A Comparative Study of LSTM, TCN, ANN, and MLP
by: Ismail, Muhammad, et al.
Published: (2024)
by: Ismail, Muhammad, et al.
Published: (2024)
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
by: Shao, Sisi, et al.
Published: (2024)
by: Shao, Sisi, et al.
Published: (2024)
PowerMLP: An Efficient Version of KAN
by: Qiu, Ruichen, et al.
Published: (2024)
by: Qiu, Ruichen, et al.
Published: (2024)
KAN or MLP: A Fairer Comparison
by: Yu, Runpeng, et al.
Published: (2024)
by: Yu, Runpeng, et al.
Published: (2024)
Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness
by: Joo, Hanseon, et al.
Published: (2025)
by: Joo, Hanseon, et al.
Published: (2025)
Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
by: Bilal, Muhammad, et al.
Published: (2025)
by: Bilal, Muhammad, et al.
Published: (2025)
Efficient LLMs with AMP: Attention Heads and MLP Pruning
by: Mugnaini, Leandro Giusti, et al.
Published: (2025)
by: Mugnaini, Leandro Giusti, et al.
Published: (2025)
Maintaining and Managing Road Quality:Using MLP and DNN
by: Maotwana, Makgotso Jacqueline
Published: (2024)
by: Maotwana, Makgotso Jacqueline
Published: (2024)
Can an MLP Absorb Its Own Skip Connection?
by: Mijoski, Antonij, et al.
Published: (2026)
by: Mijoski, Antonij, et al.
Published: (2026)
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
by: Im, Sujeong, et al.
Published: (2025)
by: Im, Sujeong, et al.
Published: (2025)
Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
by: Xing, Yiluan, et al.
Published: (2024)
by: Xing, Yiluan, et al.
Published: (2024)
Enhancing Physics-Informed Neural Networks with a Hybrid Parallel Kolmogorov-Arnold and MLP Architecture
by: Xu, Zuyu, et al.
Published: (2025)
by: Xu, Zuyu, et al.
Published: (2025)
Fast Jet Tagging with MLP-Mixers on FPGAs
by: Sun, Chang, et al.
Published: (2025)
by: Sun, Chang, et al.
Published: (2025)
KAN v.s. MLP for Offline Reinforcement Learning
by: Guo, Haihong, et al.
Published: (2024)
by: Guo, Haihong, et al.
Published: (2024)
Conformalized Regression for Continuous Bounded Outcomes
by: Wu, Zhanli, et al.
Published: (2025)
by: Wu, Zhanli, et al.
Published: (2025)
Similar Items
-
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
by: Manna, Alokesh, et al.
Published: (2024) -
Multi-view mid fusion: a universal approach for learning in an HDLSS setting
by: Houthuys, Lynn
Published: (2025) -
Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data
by: Zhang, Mingming, et al.
Published: (2024) -
Understanding When Poisson Log-Normal Models Outperform Penalized Poisson Regression for Microbiome Count Data
by: Agyapong, Daniel, et al.
Published: (2026) -
SE-MLP Model for Predicting Prior Acceleration Features in Penetration Signals
by: Li, Yankang, et al.
Published: (2025)