Anand Gokhale

16 papers C 1Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Almost sure convergence of distributed optimization with imperfect information sharing.
Autom.
Hadi Reisizadeh, Anand Gokhale, Behrouz Touri, Soheil Mohajer
2025 J jnl
LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents.
CoRR
Anand Gokhale, Vaibhav Srivastava, Francesco Bullo
2025 J jnl
Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs.
CoRR
Abed Kareem Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo
2025 J jnl
Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach.
IEEE Trans. Autom. Control.
Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, Francesco Bullo
2024 J jnl
On Weakly Contracting Dynamics for Convex Optimization.
IEEE Control. Syst. Lett.
Veronica Centorrino, Alexander Davydov, Anand Gokhale, Giovanni Russo, Francesco Bullo
2024 J jnl
Positive Competitive Networks for Sparse Reconstruction.
Neural Comput.
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2024 J jnl
Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications.
CoRR
Anand Gokhale, Alexander Davydov, Francesco Bullo
2024 J jnl
Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications.
IEEE Control. Syst. Lett.
Anand Gokhale, Alexander Davydov, Francesco Bullo
2023 J jnl
Contracting Dynamics for Time-Varying Convex Optimization.
CoRR
Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, Francesco Bullo
2023 J jnl
Contractivity of Distributed Optimization and Nash Seeking Dynamics.
CoRR
Anand Gokhale, Alexander Davydov, Francesco Bullo
2023 J jnl
Contractivity of Distributed Optimization and Nash Seeking Dynamics.
IEEE Control. Syst. Lett.
Anand Gokhale, Alexander Davydov, Francesco Bullo
2023 J jnl
Euclidean Contractivity of Neural Networks With Symmetric Weights.
IEEE Control. Syst. Lett.
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2023 J jnl
Euclidean Contractivity of Neural Networks with Symmetric Weights.
CoRR
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2023 J jnl
Positive Competitive Networks for Sparse Reconstruction.
CoRR
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2022 C conf
Distributed Online Optimization with Byzantine Adversarial Agents.
ACC
Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani
2021 J jnl
Distributed Online Optimization with Byzantine Adversarial Agents.
CoRR
Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani