6 papers · 1 filter
ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces
Kunal Kumar Pant, Nithin Nagaraj
Transformer models are most often understood through what they do: their benchmark performance, generation quality, or behavior on downstream tasks. Yet frozen transformer input-em…
Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities
Tanmay Ghosh, Shaurabh Anand, Rakesh Gomaji Nannewar +1
Convolutional long short-term memory networks (ConvLSTMs) are widely used for precipitation forecasting, but most evidence for their performance comes from dense, high-frequency ra…
Linked Data Classification using Neurochaos Learning
Pooja Honna, Ayush Patravali, Nithin Nagaraj +1
Neurochaos Learning (NL) has shown promise in recent times over traditional deep learning due to its two key features: ability to learn from small sized training samples, and low c…
Hyperparameter-Free Neurochaos Learning Algorithm for Classification
Akhila Henry, Nithin Nagaraj
Neurochaos Learning (NL) is a brain-inspired classification framework that employs chaotic dynamics to extract features from input data and yields state of the art performance on c…
Augmented Regression Models using Neurochaos Learning
Akhila Henry, Nithin Nagaraj
This study presents novel Augmented Regression Models using Neurochaos Learning (NL), where Tracemean features derived from the Neurochaos Learning framework are integrated with tr…
Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
Nanjangud C. Narendra, Nithin Nagaraj
Deep learning implemented via neural networks, has revolutionized machine learning by providing methods for complex tasks such as object detection/classification and prediction. Ho…