Saved in:
| Main Authors: | Sairam, S, Kulkarni, Prateek P |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.11392 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PENEX: AdaBoost-Inspired Neural Network Regularization
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
Wavelet GPT: Wavelet Inspired Large Language Models
by: Verma, Prateek
Published: (2024)
by: Verma, Prateek
Published: (2024)
L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi
by: Deshmukh, Pranita, et al.
Published: (2024)
by: Deshmukh, Pranita, et al.
Published: (2024)
Diverse Audio Embeddings -- Bringing Features Back Outperforms CLAP!
by: Verma, Prateek
Published: (2023)
by: Verma, Prateek
Published: (2023)
Adapting to Evolving Adversaries with Regularized Continual Robust Training
by: Dai, Sihui, et al.
Published: (2025)
by: Dai, Sihui, et al.
Published: (2025)
DFReg: A Physics-Inspired Framework for Global Weight Distribution Regularization in Neural Networks
by: Ruggieri, Giovanni
Published: (2025)
by: Ruggieri, Giovanni
Published: (2025)
Sparse Partial Optimal Transport via Quadratic Regularization
by: Tran, Khang, et al.
Published: (2025)
by: Tran, Khang, et al.
Published: (2025)
L0-Regularized Quadratic Surface Support Vector Machines
by: Mousavi, Ahmad, et al.
Published: (2025)
by: Mousavi, Ahmad, et al.
Published: (2025)
Neural-based Control for CubeSat Docking Maneuvers
by: Stoisa, Matteo, et al.
Published: (2024)
by: Stoisa, Matteo, et al.
Published: (2024)
Tree-Regularized Tabular Embeddings
by: Li, Xuan, et al.
Published: (2024)
by: Li, Xuan, et al.
Published: (2024)
Causally Inspired Regularization Enables Domain General Representations
by: Salaudeen, Olawale, et al.
Published: (2024)
by: Salaudeen, Olawale, et al.
Published: (2024)
Compositional Structures in Neural Embedding and Interaction Decompositions
by: Trager, Matthew, et al.
Published: (2024)
by: Trager, Matthew, et al.
Published: (2024)
DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
by: Chee, Jerry, et al.
Published: (2025)
by: Chee, Jerry, et al.
Published: (2025)
Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning
by: Heng, Qiang, et al.
Published: (2025)
by: Heng, Qiang, et al.
Published: (2025)
Fast Policy Learning for Linear Quadratic Control with Entropy Regularization
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting
by: McKenzie, Daniel, et al.
Published: (2023)
by: McKenzie, Daniel, et al.
Published: (2023)
STRIDE: Structure and Embedding Distillation with Attention for Graph Neural Networks
by: Ahluwalia, Anshul, et al.
Published: (2023)
by: Ahluwalia, Anshul, et al.
Published: (2023)
Generalized Quadratic Embeddings for Nonlinear Dynamics using Deep Learning
by: Goyal, Pawan, et al.
Published: (2022)
by: Goyal, Pawan, et al.
Published: (2022)
Regularized Neural Ensemblers
by: Arango, Sebastian Pineda, et al.
Published: (2024)
by: Arango, Sebastian Pineda, et al.
Published: (2024)
Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coefficient Optimization
by: Memar, Fateme, et al.
Published: (2026)
by: Memar, Fateme, et al.
Published: (2026)
Enhancing Time Series Forecasting via Logic-Inspired Regularization
by: Zhang, Jianqi, et al.
Published: (2025)
by: Zhang, Jianqi, et al.
Published: (2025)
Expressivity of Quadratic Neural ODEs
by: Hanson, Joshua, et al.
Published: (2025)
by: Hanson, Joshua, et al.
Published: (2025)
DR-SNE: Density-Regularized Stochastic Neighbor Embedding
by: Kazanskii, Maksim
Published: (2026)
by: Kazanskii, Maksim
Published: (2026)
A Physics-Inspired Optimizer: Velocity Regularized Adam
by: Vaidhyanathan, Pranav, et al.
Published: (2025)
by: Vaidhyanathan, Pranav, et al.
Published: (2025)
OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters
by: Tyagi, Sahil, et al.
Published: (2025)
by: Tyagi, Sahil, et al.
Published: (2025)
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization
by: Varshney, Prateek, et al.
Published: (2024)
by: Varshney, Prateek, et al.
Published: (2024)
Quadratic Characterizations for Reachability Analysis of Neural Networks
by: Khalife, Elias, et al.
Published: (2026)
by: Khalife, Elias, et al.
Published: (2026)
Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization
by: Refael, Yehonathan, et al.
Published: (2022)
by: Refael, Yehonathan, et al.
Published: (2022)
Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
by: Hashizume, Yota, et al.
Published: (2024)
by: Hashizume, Yota, et al.
Published: (2024)
On the Regularization of Learnable Embeddings for Time Series Forecasting
by: Butera, Luca, et al.
Published: (2024)
by: Butera, Luca, et al.
Published: (2024)
I-Diff: Structural Regularization for High-Fidelity Diffusion Models
by: Perera, Shakthi, et al.
Published: (2024)
by: Perera, Shakthi, et al.
Published: (2024)
Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
by: Li, Mang, et al.
Published: (2025)
by: Li, Mang, et al.
Published: (2025)
A Language Model With Million Context Length For Raw Audio
by: Verma, Prateek
Published: (2022)
by: Verma, Prateek
Published: (2022)
SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery
by: Cho, Ha Na, et al.
Published: (2025)
by: Cho, Ha Na, et al.
Published: (2025)
Scalable Neural Network Training over Distributed Graphs
by: Kolluri, Aashish, et al.
Published: (2023)
by: Kolluri, Aashish, et al.
Published: (2023)
Bootstrapping Fuzzers for Compilers of Low-Resource Language Dialects Using Language Models
by: Vaidya, Sairam, et al.
Published: (2025)
by: Vaidya, Sairam, et al.
Published: (2025)
Behavior-Inspired Neural Networks for Relational Inference
by: Yang, Yulong, et al.
Published: (2024)
by: Yang, Yulong, et al.
Published: (2024)
Robust Bidirectional Associative Memory via Regularization Inspired by the Subspace Rotation Algorithm
by: Lin, Ci, et al.
Published: (2025)
by: Lin, Ci, et al.
Published: (2025)
SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
by: Quan, Xuan-Truong, et al.
Published: (2025)
by: Quan, Xuan-Truong, et al.
Published: (2025)
MMbeddings: Parameter-Efficient, Low-Overfitting Probabilistic Embeddings Inspired by Nonlinear Mixed Models
by: Simchoni, Giora, et al.
Published: (2025)
by: Simchoni, Giora, et al.
Published: (2025)
Similar Items
-
PENEX: AdaBoost-Inspired Neural Network Regularization
by: Kladny, Klaus-Rudolf, et al.
Published: (2025) -
Wavelet GPT: Wavelet Inspired Large Language Models
by: Verma, Prateek
Published: (2024) -
L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi
by: Deshmukh, Pranita, et al.
Published: (2024) -
Diverse Audio Embeddings -- Bringing Features Back Outperforms CLAP!
by: Verma, Prateek
Published: (2023) -
Adapting to Evolving Adversaries with Regularized Continual Robust Training
by: Dai, Sihui, et al.
Published: (2025)