1 citations · 1 across the 4 of their papers we have counts for
4 papers
On Optimal Steering to Achieve Exact Fairness
Mohit Sharma, Amit Jayant Deshpande, Chiranjib Bhattacharyya +1
To fix the 'bias in, bias out' problem in fair machine learning, it is important to steer feature distributions of data or internal representations of Large Language Models (LLMs)…
When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI
Madhuvanthi Srivatsav, Chiranjib Bhattacharyya, Shantanu Chakrabartty +1
Routing, switching, and the interconnect fabric are essential components in implementing large-scale neuromorphic computing architectures. While this fabric plays only a supporting…
LevAttention: Time, Space, and Streaming Efficient Algorithm for Heavy Attentions
Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham +1
A central problem related to transformers can be stated as follows: given two matrices and , and a non-negative function , define the matrix as follows:…
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya +2
A fundamental problem in quantum many-body physics is that of finding ground states of local Hamiltonians. A number of recent works gave provably efficient machine learning (ML) al…