Publications
You can also find my articles on my Google Scholar profile.
Preprints and Publications Under Review
- Anand Gokhale, Vaibhav Srivastava, and Francesco Bullo, “LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents”, Arxiv, 2025, [URL]
Journal Publications
Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, and Francesco Bullo. “Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach” submitted to IEEE Transactions on Automatic Control, June 2023. [DOI] [URL]
Hadi Reisizadeh, Anand Gokhale, Behrouz Touri, and Soheil Mohajer. “Almost Sure Convergence of Distributed Optimization with Imperfect Information Sharing,” Automatica. [DOI] [URL]
Anand Gokhale, Alexander Davydov and Francesco Bullo. “Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications,” submitted to IEEE Control Systems Letters, September 2024. [DOI] [URL]
Veronica Centorrino, Alexander Davydov, Anand Gokhale, Giovanni Russo, and Francesco Bullo. “On Weakly Contracting Dynamics for Convex Optimization,” IEEE Control Systems Letters, June 2024 [DOI], [URL]
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, and Francesco Bullo. “Positive Competitive Networks for Sparse Reconstruction,” Neural Computation, January 2024, [DOI] [URL].
Anand Gokhale, Alexander Davydov and Francesco Bullo. “Contractivity of Distributed Optimization and Nash Seeking Dynamics” IEEE Control Systems Letters, September 2023 [DOI], [URL]
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, and Francesco Bullo. “Euclidean Contractivity of Neural Networks With Symmetric Weights,” IEEE Control Systems Letters, vol. 7, pp. 1724-1729, May 2023. [DOI], [URL]
Conference Publications
Abed Musaffar*, Anand Gokhale*, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh and Francesco Bullo, “Learning to Lie: Adversarial Attacks Driven by Reinforcement Learning Damage Human-AI Teams and LLMs,” Accepted as a spotlight presentation, ICLR Human AI Coevolution Workshop, April 2025, [URL]
Raja Marjieh*, Anand Gokhale*, Francesco Bullo, and Tom Griffiths, “Task Allocation in Teams as a Multi-Armed Bandits,” ACM Collective Intelligence, June 2024, [URL]
Sourav Sahoo, Anand Gokhale and Rachel Kalaimani, “Distributed Online Optimization with Byzantine Adversarial Agents,” American Control Conference (ACC), 2022, pp. 222-227, [DOI]
Anand Gokhale, Srighakollapu Manikya Valli and Ramkrishna Pasumarthy, “Measures of Modal Controllability for Network Dynamical Systems,” Eighth Indian Control Conference (ICC), 2022, pp. 61-66, [DOI]
Anand Gokhale, Srighakollapu Manikya Valli, Rachel Kalaimani and Ramkrishna Pasumarthy, “Optimizing controllability metrics for target controllability,” Seventh Indian Control Conference (ICC), 2021, pp. 141-146, [DOI]