45 citations · 46 across the 4 of their papers we have counts for
4 papers
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance
Avideep Mukherjee, Soumya Banerjee, Piyush Rai +1
Diffusion-based models demonstrate impressive generation capabilities. However, they also have a massive number of parameters, resulting in enormous model sizes, thus making them u…
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay K. Verma, Avideep Mukherjee +3
Lifelong learning or continual learning is the problem of training an AI agent continuously while also preventing it from forgetting its previously acquired knowledge. Streaming li…
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai +1
Diffusion probabilistic models have been shown to generate state-of-the-art results on several competitive image synthesis benchmarks but lack a low-dimensional, interpretable late…
Attentive Contractive Flow with Lipschitz-constrained Self-Attention
Avideep Mukherjee, Badri Narayan Patro, Vinay P. Namboodiri
Normalizing flows provide an elegant method for obtaining tractable density estimates from distributions by using invertible transformations. The main challenge is to improve the e…