1 citations · 1 across the 4 of their papers we have counts for
6 papers
Percolation Dynamics in Optimization: Variance Cascades and Nested Symmetry
Sai Niranjan Ramachandran, Suvrit Sra
We study the dynamics of Stochastic Gradient Descent (SGD), which is known to steer deep neural networks toward invariant sets that correspond to simpler subnetworks. How this stee…
Active Inference as Context Acquisition for AI Agents
Sanchayan Dutta, Sai Niranjan Ramachandran, Suvrit Sra
Interactive AI agents must acquire the right context as efficiently as possible. When a user omits a constraint, preference, file, or task variable, an agent can proceed with a def…
Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
Sai Niranjan Ramachandran, Suvrit Sra
Decision trees and diffusion models are ostensibly disparate model classes, one discrete and hierarchical, the other continuous and dynamic. This work unifies the two by establishi…
KELP: Robust Online Log Parsing Through Evolutionary Grouping Trees
Satyam Singh, Sai Niranjan Ramachandran
Real-time log analysis is the cornerstone of observability for modern infrastructure. However, existing online parsers are architecturally unsuited for the dynamism of production e…
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
We analyse how the sampling dynamics of distributions evolve in score-based diffusion models using cross-fluctuations, a centered-moment statistic from statistical physics. Specifi…
Towards disease-aware image editing of chest X-rays
Aakash Saboo, Sai Niranjan Ramachandran, Kai Dierkes +1
Disease-aware image editing by means of generative adversarial networks (GANs) constitutes a promising avenue for advancing the use of AI in the healthcare sector. Here, we present…