Inferring functional linkage from residue level co-evolution information. - Roger A. Craig; Keyur Malaviya; Krishna Balasubramanian; Li Liao (BIOCOMP, 2008)

Low-Rank Principal Eigenmatrix Analysis. - Krishna Balasubramanian; Elynn Y. Chen; Jianqing Fan; Xiang Wu (CoRR, 2019)

High Tc Superconducting Tunnel Junctions For Cryogenic Temperature Measurement. - Krishna Balasubramanian (IEEE SENSORS, 2020)

Topology-Informed Model Predictive Control for Anticipatory Collision Avoidance on a Ballbot. - Christoforos I. Mavrogiannis; Krishna Balasubramanian; Sriyash Poddar; Anush Gandra; Siddhartha S. Srinivasa (CoRR, 2021)

Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo. - Krishna Balasubramanian; Sinho Chewi; Murat A. Erdogdu; Adil Salim; Shunshi Zhang 001 (COLT, 2022)

High-probability bounds for robust stochastic Frank-Wolfe algorithm. - Tongyi Tang; Krishna Balasubramanian; Thomas Chun Man Lee (UAI, 2022)

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality. - Alireza Mousavi Hosseini; Tyler K. Farghly; Ye He 003; Krishna Balasubramanian; Murat A. Erdogdu (COLT, 2023)

Improved Discretization Analysis for Underdamped Langevin Monte Carlo. - Matthew Shunshi Zhang; Sinho Chewi; Mufan (Bill) Li; Krishna Balasubramanian; Murat A. Erdogdu (COLT, 2023)

Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity. - Xuxing Chen; Minhui Huang; Shiqian Ma; Krishna Balasubramanian (ICML, 2023)

Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space. - Michael Ziyang Diao; Krishna Balasubramanian; Sinho Chewi; Adil Salim (ICML, 2023)

Winding Through: Crowd Navigation via Topological Invariance. - Christoforos I. Mavrogiannis; Krishna Balasubramanian; Sriyash Poddar; Anush Gandra; Siddhartha S. Srinivasa (IEEE Robotics Autom. Lett., 2023)

Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression. - Zhaoyang Shi; Krishna Balasubramanian; Wolfgang Polonik (AISTATS, 2024)

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression. - Xuxing Chen; Krishna Balasubramanian; Promit Ghosal; Bhavya Agrawalla (Trans. Mach. Learn. Res., 2024)

Online Covariance Estimation in Nonsmooth Stochastic Approximation. - Liwei Jiang; Abhishek Roy; Krishna Balasubramanian; Damek Davis; Dmitriy Drusvyatskiy; Sen Na (COLT, 2025)

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent. - Sayan Banerjee; Krishna Balasubramanian; Promit Ghosal (ICLR, 2025)

Transformers Handle Endogeneity in In-Context Linear Regression. - Haodong Liang; Krishna Balasubramanian; Lifeng Lai (ICLR, 2025)

Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps. - Zhaoyang Shi; Krishna Balasubramanian; Wolfgang Polonik (UAI, 2025)