activity
20192026
collaborators

6 papers

cs.AI2026

Contract monitoring: governing AI via separation of powers

Enric Boix-Adsera

We propose an AI safety framework that binds worker agents to contracts specifying their permitted actions. We show how these contracts can be enforced and specified by assigning d…

cs.LG2025

Secret mixtures of experts inside your LLM

Enric Boix-Adsera

Despite being one of the earliest neural network layers, the Multilayer Perceptron (MLP) is arguably one of the least understood parts of the transformer architecture due to its de…

cs.LG2025

The power of fine-grained experts: Granularity boosts expressivity in Mixture of Experts

Enric Boix-Adsera, Philippe Rigollet

Mixture-of-Experts (MoE) layers are increasingly central to frontier model architectures. By selectively activating parameters, they reduce computational cost while scaling total p…

cs.LG2021

Chow-Liu++: Optimal Prediction-Centric Learning of Tree Ising Models

Enric Boix-Adsera, Guy Bresler, Frederic Koehler

We consider the problem of learning a tree-structured Ising model from data, such that subsequent predictions computed using the model are accurate. Concretely, we aim to learn a m…

cs.GT2020

The Multiplayer Colonel Blotto Game

Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti

We initiate the study of the natural multiplayer generalization of the classic continuous Colonel Blotto game. The two-player Blotto game, introduced by Borel as a model of resourc…

cs.CC2019

The Average-Case Complexity of Counting Cliques in Erdos-Renyi Hypergraphs

Enric Boix-Adserà, Matthew Brennan, Guy Bresler

We consider the problem of counting -cliques in -uniform Erdos-Renyi hypergraphs with edge density , and show that its fine-grained average-case complexity can…