2 citations · 8 across the 8 of their papers we have counts for
9 papers
On the Stability and Convergence of Flow Map Training
Ishan Nath, Tom Stanic, Avishek Joey Bose +2
Flow maps are a recent method of probabilistic generation that amortize diffusion trajectories into one-step samplers, unlocking efficient generation. While progress has been made…
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
Damien Ferbach, Quentin Bertrand, Avishek Joey Bose +1
The rapid progress in generative models has resulted in impressive leaps in generation quality, blurring the lines between synthetic and real data. Web-scale datasets are now prone…
Self-Play Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma
Quentin Bertrand, Juan Duque, Emilio Calvano +1
A growing body of computational studies shows that simple machine learning agents converge to cooperative behaviors in social dilemmas, such as collusive price-setting in oligopoly…
On the Stability of Iterative Retraining of Generative Models on their own Data
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis +2
Deep generative models have made tremendous progress in modeling complex data, often exhibiting generation quality that surpasses a typical human's ability to discern the authentic…
Omega: Optimistic EMA Gradients
Juan Ramirez, Rohan Sukumaran, Quentin Bertrand +1
Stochastic min-max optimization has gained interest in the machine learning community with the advancements in GANs and adversarial training. Although game optimization is fairly w…
The Curse of Unrolling: Rate of Differentiating Through Optimization
Damien Scieur, Quentin Bertrand, Gauthier Gidel +1
Computing the Jacobian of the solution of an optimization problem is a central problem in machine learning, with applications in hyperparameter optimization, meta-learning, optimiz…
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
Real-world competitive games, such as chess, go, or StarCraft II, rely on Elo models to measure the strength of their players. Since these games are not fully transitive, using Elo…
Anytime Exact Belief Propagation
Gabriel Azevedo Ferreira, Quentin Bertrand, Charles Maussion +1
Statistical Relational Models and, more recently, Probabilistic Programming, have been making strides towards an integration of logic and probabilistic reasoning. A natural expecta…
Dimension improvement in Dhar's refutation of the Eden conjecture
Quentin Bertrand, Jules Pertinand
We consider the Eden model on the d-dimensional hypercubical unoriented lattice , for large d. Initially, every lattice point is healthy, except the origin which is infected. Then,…