Alexander Havrilla

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 5

Top Topics

Reinforcement Learning

Diffusion Model

Discriminative Methods

Preference Learning

Top Venues

Publications

Alexander Havrilla, Kevin Rojas, Wenjing Liao, Molei Tao
DFU: scale-robust diffusion model for zero-shot super-resolution image generation. CoRR (2024)
Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback. EMNLP (2023)
Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, Pranav Tadepalli, Paula Vidas, Alexander Kranias, John J. Nay, Kshitij Gupta, Aran Komatsuzaki
ARB: Advanced Reasoning Benchmark for Large Language Models. CoRR (2023)
Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, Mark Riedl
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. CoRR (2022)
Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. NeurIPS (2022)