Videos

Lagrange multipliers are a go-to tool for anyone who’s worked in optimization. In this talk we will explore the renowned Karush-Kuhn-Tucker optimality conditions starting from [...]

In the modern era of data-driven innovation, the challenge of optimizing energy consumption without sacrificing performance in modern cloud system networks has become increasingly important. [...]

In this session, we will talk about uv, an extremely fast Python package and project manager designed as a single tool to replace pip, pip-tools, [...]

For the problem of aggregating several rankings into one ranking, Kemeny (1959) proposed two methods: the median rule which selects the ranking with the smallest [...]

Platooning-based vehicle-to-vehicle (V2V) integrated sensing and communication (ISAC) frameworks have emerged as an attractive strategy in recent years. In this work, we present an optimal [...]

In this session of our reading group, I will discuss community detection in hierarchical clustering of networks, based on the paper "When Does Bottom-up Beat Top-down [...]

In many Reinforcement Learning (RL) environments the state is represented by an image. In such cases, if the RL doesn’t work well, is the problem [...]

In Federated Reinforcement Learning (FRL), agents aim to collaboratively learn a common task, while each agent is acting in its local environment without exchanging raw [...]

In this talk, we will explore the fundamental concept of Zero Knowledge Proofs (ZKPs), a cryptographic technique that allows one party to prove knowledge of [...]

Many "pseudo-paradoxes" arise in quantum physics because "quantum states"  are generally considered to be absolute, that is, independent of observers. But entangled pairs of qubits [...]