activity
20242026
most citedA2AS: Agentic AI Runtime Security and Self-Defense

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2026

Strategies in POMDPs with Stage Duration

Ivan Novikov

Partially observable Markov decision processes (POMDPs) with stage duration provide a framework for approximating continuous-time behavior by scaling transition probabilities with…

cs.LG2025

MLPMoE: Zero-Shot Architectural Metamorphosis of Dense LLM MLPs into Static Mixture-of-Experts

Ivan Novikov

Large Language Models (LLMs) are predominantly deployed as dense transformers, where every parameter in every feed-forward block is activated for every token. While architecturally…

cs.CR2025★ 1 cited

A2AS: Agentic AI Runtime Security and Self-Defense

Eugene Neelou, Ivan Novikov, Max Moroz +15

The A2AS framework is introduced as a security layer for AI agents and LLM-powered applications, similar to how HTTPS secures HTTP. A2AS enforces certified behavior, activates mode…

cs.CV2024

Enhanced Parking Perception by Multi-Task Fisheye Cross-view Transformers

Antonyo Musabini, Ivan Novikov, Sana Soula +6

Current parking area perception algorithms primarily focus on detecting vacant slots within a limited range, relying on error-prone homographic projection for both labeling and inf…

math.OC2024

Asymptotic Value in Zero-Sum Stochastic Games with Vanishing Stage Duration and Public Signals

Ivan Novikov

We study -discounted zero-sum games as the discount factor approaches (that is, the players are more and more patient), in the context of games with stage duration. In s…

math.OC2024★ 1 cited

Zero-Sum State-Blind Stochastic Games with Vanishing Stage Duration

Ivan Novikov

In stochastic games with stage duration h, players act at times 0, h, 2h, and so on. The payoff and leaving probabilities are proportional to h. As h approaches 0, such discrete-ti…