71 citations · 81 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Bridging Spherical Black-Box Optimizers
Johannes Ackermann, Stefano Peluchetti
When gradient information is unavailable, black-box optimization (BBO) methods provide a practical alternative. While Evolution Strategies (ES), Consensus-Based Optimization (CBO),…
cs.CV2022★ 10 cited
High-Resolution Image Editing via Multi-Stage Blended Diffusion
Johannes Ackermann, Minjun Li
Diffusion models have shown great results in image generation and in image editing. However, current approaches are limited to low resolutions due to the computational cost of trai…
cs.LG2019★ 71 cited
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
Johannes Ackermann, Volker Gabler, Takayuki Osa +1
Many real world tasks require multiple agents to work together. Multi-agent reinforcement learning (RL) methods have been proposed in recent years to solve these tasks, but current…