Anand Gokhale

According to our database, Anand Gokhale authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning.

Anand Gokhale, Anton V. Proskurnikov, Yu Kawano, Francesco Bullo

CoRR, April, 2026

Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning.

Anand Gokhale, Anton V. Proskurnikov, Yu Kawano, Francesco Bullo

CoRR, April, 2026

2025

Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach.

Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, Francesco Bullo

IEEE Trans. Autom. Control., November, 2025

LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents.

Anand Gokhale, Vaibhav Srivastava, Francesco Bullo

CoRR, July, 2025

Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs.

Abed Kareem Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo

CoRR, March, 2025

Almost sure convergence of distributed optimization with imperfect information sharing.

Hadi Reisizadeh, Anand Gokhale, Behrouz Touri, Soheil Mohajer

Autom., 2025

2024

Positive Competitive Networks for Sparse Reconstruction.

Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo

Neural Comput., 2024

Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications.

Anand Gokhale, Alexander Davydov, Francesco Bullo

IEEE Control. Syst. Lett., 2024

On Weakly Contracting Dynamics for Convex Optimization.

Veronica Centorrino, Alexander Davydov, Anand Gokhale, Giovanni Russo, Francesco Bullo

IEEE Control. Syst. Lett., 2024

2023

Contractivity of Distributed Optimization and Nash Seeking Dynamics.

Anand Gokhale, Alexander Davydov, Francesco Bullo

IEEE Control. Syst. Lett., 2023

Euclidean Contractivity of Neural Networks With Symmetric Weights.

Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo

IEEE Control. Syst. Lett., 2023

Contracting Dynamics for Time-Varying Convex Optimization.

Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, Francesco Bullo

CoRR, 2023

2022

Distributed Online Optimization with Byzantine Adversarial Agents.

Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani

Proceedings of the American Control Conference, 2022