:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Jiaqi, Bal, Malyaban, Sengupta, Abhronil
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Emerging Technologies
Online Access:	https://arxiv.org/abs/2508.15989
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)

RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
by: Mia, Md Zesun Ahmed, et al.
Published: (2026)

Delving Deeper Into Astromorphic Transformers
by: Mia, Md Zesun Ahmed, et al.
Published: (2023)

Spatio-Temporal Pruning for Compressed Spiking Large Language Models
by: Jiang, Yi, et al.
Published: (2025)

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning
by: Mia, Md Zesun Ahmed, et al.
Published: (2025)

Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
by: Lin, Jiaqi, et al.
Published: (2024)

GRASP: GRouped Activation Shared Parameterization for Parameter-Efficient Fine-Tuning and Robust Inference of Transformers
by: Bal, Malyaban, et al.
Published: (2025)

Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)

Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning
by: Manna, Bibhas, et al.
Published: (2023)

Benchmarking Spiking Neural Network Learning Methods with Varying Locality
by: Lin, Jiaqi, et al.
Published: (2024)

Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia
by: Bano, A., et al.
Published: (2026)

Scalable Thermodynamic Second-order Optimization
by: Donatella, Kaelan, et al.
Published: (2025)

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
by: Sharma, Aasish Kumar, et al.
Published: (2025)

Dependence of Equilibrium Propagation Training Success on Network Architecture
by: Wang, Qingshan, et al.
Published: (2026)

Interpretability as Alignment: Making Internal Understanding a Design Principle
by: Sengupta, Aadit, et al.
Published: (2025)

DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting
by: Wang, Hanrui, et al.
Published: (2023)

Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
by: Wanjura, Clara C., et al.
Published: (2024)

Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning
by: Zhang, Jiexin, et al.
Published: (2025)

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net
by: Takaghaj, Sanaz Mahmoodi
Published: (2024)

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression
by: Ning, Shupeng, et al.
Published: (2025)

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training
by: Zhao, Yequan, et al.
Published: (2023)

Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism
by: Das, Adway, et al.
Published: (2025)

Component Centric Placement Using Deep Reinforcement Learning
by: Lim, Kart Leong
Published: (2026)

Multi-Class Quantum Convolutional Neural Networks
by: Mordacci, Marco, et al.
Published: (2024)

Bayesian Optimization of Crossbar-Based Compute-In-Memory System Design for Efficient DNN Inference
by: Saha, Arnob, et al.
Published: (2026)

OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
by: Sunny, Febin, et al.
Published: (2024)

Embedded Deep Learning for Bio-hybrid Plant Sensors to Detect Increased Heat and Ozone Levels
by: Aust, Till, et al.
Published: (2025)

DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Accelerators
by: Lu, Haotian, et al.
Published: (2024)

M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference
by: Gu, Jiaqi, et al.
Published: (2023)

How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning
by: Lin, Jonathan, et al.
Published: (2026)

An Initial Study of Human-Scale Blockage in sub-THz Radio Propagation with Application to Indoor Passive Localization
by: Paonessa, F., et al.
Published: (2024)

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
by: Bal, Malyaban, et al.
Published: (2023)

P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks
by: Bal, Malyaban, et al.
Published: (2024)

Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
by: Tao, Han-Xiao, et al.
Published: (2024)

LLMs meet Federated Learning for Scalable and Secure IoT Management
by: Otoum, Yazan, et al.
Published: (2025)

AnalogCoder: Analog Circuit Design via Training-Free Code Generation
by: Lai, Yao, et al.
Published: (2024)

Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
by: Ji, Xiaoyang, et al.
Published: (2024)

A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
by: Yon, Victor, et al.
Published: (2023)

Hardware in Loop Learning with Spin Stochastic Neurons
by: Islam, A N M Nafiul, et al.
Published: (2023)

QAOA-PCA: Enhancing Efficiency in the Quantum Approximate Optimization Algorithm via Principal Component Analysis
by: Parry, Owain, et al.
Published: (2025)