7 citations · 10 across the 6 of their papers we have counts for
8 papers
Transformation Coding: Simple Objectives for Equivariant Representations
Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh
We present a simple non-generative approach to deep representation learning that seeks equivariant deep embedding through simple objectives. In contrast to existing equivariant net…
Spatiotemporal instabilities and pattern formation in systems of diffusively coupled Izhikevich neurons
Argha Mondal, Chittaranjan Hens, Arnab Mondal +1
Neurons are often connected, spatially and temporally, in phenomenal ways that promote wave propagation. Therefore, it is essential to analyze the emergent spatiotemporal patterns…
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla +1
Clustering single-cell RNA sequence (scRNA-seq) data poses statistical and computational challenges due to their high-dimensionality and data-sparsity, also known as `dropout' even…
RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
Arnab Kumar Mondal, Prathosh A. P
Voice Activity Detection (VAD) refers to the task of identification of regions of human speech in digital signals such as audio and video. While VAD is a necessary first step in ma…
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla +1
Regularized Auto-Encoders (RAEs) form a rich class of neural generative models. They effectively model the joint-distribution between the data and the latent space using an Encoder…
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee +3
Estimation of information theoretic quantities such as mutual information and its conditional variant has drawn interest in recent times owing to their multifaceted applications. N…