Exploring Diffusion Models with JAX
Explores the mathematics and code of discrete diffusion models, assessing their effectiveness, applicability, and limitations. (Jun 2022)
Projects and Reports
Review Classification using Active Learning, Keras.io
Demonstrates the effectiveness of active learning in text classification tasks by implementing a ratio- based sampling approach, improving performance and suitability for industrial applications. (Oct 2021)
The Reality Behind the Optimization of Imaginary Variables - I, Weights & Biases
Examines how complex-valued neural networks enhance representations by experimenting with traditional mappings and more efficient complex vector techniques. (Jun 2021)
The Reality Behind the Optimization of Imaginary Variables - II, Weights & Biases
Explores circularity and holomorphicity constraints in complex-valued neural networks, showcasing the effectiveness of linear and widely linear networks for image-denoising. (Oct 2021)
MelGAN based Spectrogram Inversion using Feature Matching, Keras.io
Showcases a non-autoregressive model for spectral inversion utilizing a feature-matching discriminator, highlighting fast inference on dynamic inputs. (Sep 2021)