More from the Same Authors

• 2022 Workshop: I Can’t Believe It’s Not Better: Understanding Deep Learning Through Empirical Falsification »
  Arno Blaas · Sahra Ghalebikesabi · Javier Antorán · Fan Feng · Melanie F. Pradier · Ian Mason · David Rohde
• 2022 Poster: Repairing Neural Networks by Leaving the Right Past Behind »
  Ryutaro Tanno · Melanie F. Pradier · Aditya Nori · Yingzhen Li
• 2021 Workshop: Bridging the Gap: from Machine Learning Research to Clinical Practice »
  Julia Vogt · Ece Ozkan · Sonali Parbhoo · Melanie F. Pradier · Patrick Schwab · Shengpu Tang · Mario Wieser · Jiayu Yao
• 2021 Workshop: I (Still) Can't Believe It's Not Better: A workshop for “beautiful” ideas that "should" have worked »
  Aaron Schein · Melanie F. Pradier · Jessica Forde · Stephanie Hyland · Francisco Ruiz
• 2021 : Evaluating Approximate Inference in Bayesian Deep Learning + Q&A »
  Andrew Gordon Wilson · Pavel Izmailov · Matthew Hoffman · Yarin Gal · Yingzhen Li · Melanie F. Pradier · Sharad Vikram · Andrew Foong · Sanae Lotfi · Sebastian Farquhar
• 2020 Workshop: I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning »
  Jessica Forde · Francisco Ruiz · Melanie Fernandez Pradier · Aaron Schein · Finale Doshi-Velez · Isabel Valera · David Blei · Hanna Wallach
• 2019 Poster: Poisson-Randomized Gamma Dynamical Systems »
  Aaron Schein · Scott Linderman · Mingyuan Zhou · David Blei · Hanna Wallach
• 2018 : Poster Session »
  Lorenzo Masoero · Tammo Rukat · Runjing Liu · Sayak Ray Chowdhury · Daniel Coelho de Castro · Claudia Wehrhahn · Feras Saad · Archit Verma · Kelvin Hsu · Irineo Cabreros · Sandhya Prabhakaran · Yiming Sun · Maxime Rischard · Linfeng Liu · Adam Farooq · Jeremiah Liu · Melanie F. Pradier · Diego Romeres · Neill Campbell · Kai Xu · Mehmet M Dundar · Tucker Keuter · Prashnna Gyawali · Eli Sennesh · Alessandro De Palma · Daniel Flam-Shepherd · Takatomi Kubo