Saved in:
| Main Authors: | Pandey, Vishal, Biswas, Debasmita |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.21505 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling
by: Pandey, Vishal, et al.
Published: (2025)
by: Pandey, Vishal, et al.
Published: (2025)
Variational Linear Attention: Stable Associative Memory for Long-Context Transformers
by: Pandey, Vishal, et al.
Published: (2026)
by: Pandey, Vishal, et al.
Published: (2026)
Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
by: Bozkurt, Bariscan, et al.
Published: (2026)
by: Bozkurt, Bariscan, et al.
Published: (2026)
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
by: Graf, Lars, et al.
Published: (2024)
by: Graf, Lars, et al.
Published: (2024)
Supervised Spike Agreement Dependent Plasticity for Fast Local Learning in Spiking Neural Networks
by: S, Gouri Lakshmi, et al.
Published: (2026)
by: S, Gouri Lakshmi, et al.
Published: (2026)
Predictive Coding for Decision Transformer
by: Luu, Tung M., et al.
Published: (2024)
by: Luu, Tung M., et al.
Published: (2024)
ChronoPlastic Spiking Neural Networks
by: Chaudhry, Sarim
Published: (2025)
by: Chaudhry, Sarim
Published: (2025)
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance
by: Vasilache, Alexandru, et al.
Published: (2025)
by: Vasilache, Alexandru, et al.
Published: (2025)
Low-Rank Adaptation Reduces Catastrophic Forgetting in Sequential Transformer Encoder Fine-Tuning: Controlled Empirical Evidence and Frozen-Backbone Representation Probes
by: Pandey, Ashish
Published: (2026)
by: Pandey, Ashish
Published: (2026)
Follow The Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation
by: Mukhopadhyay, Samrat, et al.
Published: (2025)
by: Mukhopadhyay, Samrat, et al.
Published: (2025)
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
by: Wang, Mingze, et al.
Published: (2024)
by: Wang, Mingze, et al.
Published: (2024)
Decision-Focused Learning with Directional Gradients
by: Huang, Michael, et al.
Published: (2024)
by: Huang, Michael, et al.
Published: (2024)
Spiking Sequence Machines and Transformers
by: Bose, Joy
Published: (2026)
by: Bose, Joy
Published: (2026)
Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
by: Teuber, Samuel, et al.
Published: (2025)
by: Teuber, Samuel, et al.
Published: (2025)
Brain Tumor Detection through Thermal Imaging and MobileNET
by: Maiti, Roham, et al.
Published: (2025)
by: Maiti, Roham, et al.
Published: (2025)
Adaptive LLM Routing under Budget Constraints
by: Panda, Pranoy, et al.
Published: (2025)
by: Panda, Pranoy, et al.
Published: (2025)
Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks
by: Bej, Saptarshi, et al.
Published: (2025)
by: Bej, Saptarshi, et al.
Published: (2025)
Sleep-Based Homeostatic Regularization for Stabilizing Spike-Timing-Dependent Plasticity in Recurrent Spiking Neural Networks
by: Massey, Andreas, et al.
Published: (2026)
by: Massey, Andreas, et al.
Published: (2026)
Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
by: Adamiat, Sepideh, et al.
Published: (2025)
by: Adamiat, Sepideh, et al.
Published: (2025)
Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling
by: Zhang, Dehao, et al.
Published: (2025)
by: Zhang, Dehao, et al.
Published: (2025)
Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning
by: Azizi, Seyedarmin, et al.
Published: (2026)
by: Azizi, Seyedarmin, et al.
Published: (2026)
A Unified Three-Stage Machine Learning Framework for Diabetes Detection, Subtype Discrimination, and Cognitive-Metabolic Hypothesis Testing
by: Pandey, Vishal, et al.
Published: (2026)
by: Pandey, Vishal, et al.
Published: (2026)
Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)
by: Murad, Taslim, et al.
Published: (2024)
Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
by: Jaisankar, Kanishkha, et al.
Published: (2025)
by: Jaisankar, Kanishkha, et al.
Published: (2025)
Learning Long Sequences in Spiking Neural Networks
by: Stan, Matei Ioan, et al.
Published: (2023)
by: Stan, Matei Ioan, et al.
Published: (2023)
Route Experts by Sequence, not by Token
by: Wen, Tiansheng, et al.
Published: (2025)
by: Wen, Tiansheng, et al.
Published: (2025)
Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2025)
by: Yan, Zhanglu, et al.
Published: (2025)
Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays
by: Dominijanni, Marissa, et al.
Published: (2025)
by: Dominijanni, Marissa, et al.
Published: (2025)
Contrastive-Signal-Dependent Plasticity: Self-Supervised Learning in Spiking Neural Circuits
by: Ororbia, Alexander
Published: (2023)
by: Ororbia, Alexander
Published: (2023)
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning
by: Qin, Lang, et al.
Published: (2022)
by: Qin, Lang, et al.
Published: (2022)
Local Prompt Optimization
by: Jain, Yash, et al.
Published: (2025)
by: Jain, Yash, et al.
Published: (2025)
Generalized Policy Gradient with History-Aware Decision Transformer for Reliable Routing over Graph Signals
by: Wei, Xing, et al.
Published: (2025)
by: Wei, Xing, et al.
Published: (2025)
A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules
by: Ahmadvand, Reza, et al.
Published: (2024)
by: Ahmadvand, Reza, et al.
Published: (2024)
New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles
by: Ghoreishee, Aref, et al.
Published: (2025)
by: Ghoreishee, Aref, et al.
Published: (2025)
Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
by: Vasilache, Alexandru, et al.
Published: (2024)
by: Vasilache, Alexandru, et al.
Published: (2024)
Matterhorn: Efficient Analog Sparse Spiking Transformer Architecture with Masked Time-To-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2026)
by: Yan, Zhanglu, et al.
Published: (2026)
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)
by: Nguyen, Duc Anh, et al.
Published: (2025)
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
by: Shen, Shuaijie, et al.
Published: (2024)
by: Shen, Shuaijie, et al.
Published: (2024)
Directional Routing in Transformers
by: Taylor, Kevin
Published: (2026)
by: Taylor, Kevin
Published: (2026)
Similar Items
-
AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling
by: Pandey, Vishal, et al.
Published: (2025) -
Variational Linear Attention: Stable Associative Memory for Long-Context Transformers
by: Pandey, Vishal, et al.
Published: (2026) -
Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
by: Bozkurt, Bariscan, et al.
Published: (2026) -
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
by: Huang, Wei, et al.
Published: (2025) -
EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
by: Graf, Lars, et al.
Published: (2024)