Saved in:
| Main Authors: | Manoharan, Naveen Raj, Iqbal, Hassan, Kumar, Krishna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.05456 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MLPs and KANs for data-driven learning in physical problems: A performance comparison
by: Pant, Raghav, et al.
Published: (2025)
by: Pant, Raghav, et al.
Published: (2025)
Zero-Shot Function Encoder-Based Differentiable Predictive Control
by: Iqbal, Hassan, et al.
Published: (2025)
by: Iqbal, Hassan, et al.
Published: (2025)
Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation
by: Raj, Naipunnya, et al.
Published: (2025)
by: Raj, Naipunnya, et al.
Published: (2025)
Momentum Based Reward Design for Low Emission Traffic Signal Control
by: Mundane, Chinmay, et al.
Published: (2026)
by: Mundane, Chinmay, et al.
Published: (2026)
Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator
by: Abdullin, Ayrat, et al.
Published: (2025)
by: Abdullin, Ayrat, et al.
Published: (2025)
Conditional LoRA Parameter Generation
by: Jin, Xiaolong, et al.
Published: (2024)
by: Jin, Xiaolong, et al.
Published: (2024)
Algorithmic Compliance and Regulatory Loss in Digital Assets
by: Bhatt, Khem Raj, et al.
Published: (2026)
by: Bhatt, Khem Raj, et al.
Published: (2026)
On the Generalization and Robustness in Conditional Value-at-Risk
by: Mulumudi, Dinesh Karthik, et al.
Published: (2026)
by: Mulumudi, Dinesh Karthik, et al.
Published: (2026)
Graph Classification with GNNs: Optimisation, Representation and Inductive Bias
by: a, P. Krishna Kumar, et al.
Published: (2024)
by: a, P. Krishna Kumar, et al.
Published: (2024)
Parameter Reduction Improves Vision Transformers: A Comparative Study of Sharing and Width Reduction
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning
by: Raj, Snehal, et al.
Published: (2025)
by: Raj, Snehal, et al.
Published: (2025)
Efficient Learning-based Graph Simulation for Temporal Graphs
by: Xiang, Sheng, et al.
Published: (2025)
by: Xiang, Sheng, et al.
Published: (2025)
MEET: Mixture of Experts Extra Tree-Based sEMG Hand Gesture Identification
by: Gehlot, Naveen, et al.
Published: (2024)
by: Gehlot, Naveen, et al.
Published: (2024)
Graph-Attentive MAPPO for Dynamic Retail Pricing
by: Amma, Krishna Kumar Neelakanta Pillai Santha Kumari
Published: (2025)
by: Amma, Krishna Kumar Neelakanta Pillai Santha Kumari
Published: (2025)
Flex-GAD : Flexible Graph Anomaly Detection
by: Chakraborty, Apu, et al.
Published: (2025)
by: Chakraborty, Apu, et al.
Published: (2025)
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation
by: Tenorio, Victor M., et al.
Published: (2025)
by: Tenorio, Victor M., et al.
Published: (2025)
GraphRCG: Self-Conditioned Graph Generation
by: Wang, Song, et al.
Published: (2024)
by: Wang, Song, et al.
Published: (2024)
Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
by: Dahlinger, Philipp, et al.
Published: (2026)
by: Dahlinger, Philipp, et al.
Published: (2026)
A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering
by: Kumar, Krishna
Published: (2025)
by: Kumar, Krishna
Published: (2025)
Parameter-Efficient Generative Modeling with Controlled Vector Fields
by: Morteza, Peyman
Published: (2026)
by: Morteza, Peyman
Published: (2026)
Geometric Generative Modeling with Noise-Conditioned Graph Networks
by: Pao-Huang, Peter, et al.
Published: (2025)
by: Pao-Huang, Peter, et al.
Published: (2025)
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
by: Mercatali, Giangiacomo, et al.
Published: (2024)
by: Mercatali, Giangiacomo, et al.
Published: (2024)
GaLoRA: Parameter-Efficient Graph-Aware LLMs for Node Classification
by: Choudhary, Mayur, et al.
Published: (2026)
by: Choudhary, Mayur, et al.
Published: (2026)
Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting
by: Bellos, Filippos, et al.
Published: (2026)
by: Bellos, Filippos, et al.
Published: (2026)
Understanding Inter-Concept Relationships in Concept-Based Models
by: Raman, Naveen, et al.
Published: (2024)
by: Raman, Naveen, et al.
Published: (2024)
Kolmogorov-Arnold Energy Models: Fast, Interpretable Generative Modeling
by: Raj, Prithvi
Published: (2025)
by: Raj, Prithvi
Published: (2025)
UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications
by: Sudharsan, Naveen, et al.
Published: (2025)
by: Sudharsan, Naveen, et al.
Published: (2025)
Graph Diffusion Transformers for Multi-Conditional Molecular Generation
by: Liu, Gang, et al.
Published: (2024)
by: Liu, Gang, et al.
Published: (2024)
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
by: Zhu, Qi, et al.
Published: (2024)
by: Zhu, Qi, et al.
Published: (2024)
Accelerating PayPal's Commerce Agent with Speculative Decoding: An Empirical Study on EAGLE3 with Fine-Tuned Nemotron Models
by: Qin, Ally, et al.
Published: (2026)
by: Qin, Ally, et al.
Published: (2026)
Cyclical Log Annealing as a Learning Rate Scheduler
by: Naveen, Philip
Published: (2024)
by: Naveen, Philip
Published: (2024)
GRAFT: Auditing Graph Neural Networks via Global Feature Attribution
by: Sahoo, Rishi Raj, et al.
Published: (2026)
by: Sahoo, Rishi Raj, et al.
Published: (2026)
Graph-Memoized Reasoning: Foundations Structured Workflow Reuse in Intelligent Systems
by: Singh, Yash Raj
Published: (2025)
by: Singh, Yash Raj
Published: (2025)
Optimizing Specific and Shared Parameters for Efficient Parameter Tuning
by: Nguyen, Van-Anh, et al.
Published: (2025)
by: Nguyen, Van-Anh, et al.
Published: (2025)
CNN-Based Automated Parameter Extraction Framework for Modeling Memristive Devices
by: Hamid, Akif, et al.
Published: (2025)
by: Hamid, Akif, et al.
Published: (2025)
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
by: Lingam, Vijay, et al.
Published: (2024)
by: Lingam, Vijay, et al.
Published: (2024)
Machine Learning Aided Modeling of Granular Materials: A Review
by: Wang, Mengqi, et al.
Published: (2024)
by: Wang, Mengqi, et al.
Published: (2024)
Complete and Efficient Graph Transformers for Crystal Material Property Prediction
by: Yan, Keqiang, et al.
Published: (2024)
by: Yan, Keqiang, et al.
Published: (2024)
Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, et al.
Published: (2025)
RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
by: Fan, Xiang, et al.
Published: (2026)
by: Fan, Xiang, et al.
Published: (2026)
Similar Items
-
MLPs and KANs for data-driven learning in physical problems: A performance comparison
by: Pant, Raghav, et al.
Published: (2025) -
Zero-Shot Function Encoder-Based Differentiable Predictive Control
by: Iqbal, Hassan, et al.
Published: (2025) -
Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation
by: Raj, Naipunnya, et al.
Published: (2025) -
Momentum Based Reward Design for Low Emission Traffic Signal Control
by: Mundane, Chinmay, et al.
Published: (2026) -
Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator
by: Abdullin, Ayrat, et al.
Published: (2025)