Anirudh Goyal
anirudhgoyal9119 at gmail dot com

I am a graduate student in CS at University of Montreal. I am a part of Mila, advised by Prof. Yoshua Bengio.

Before graduate school, I received a Bachelors in Computer Science at IIIT Hyderabad, where I worked on several research projects at CVIT under Prof. C.V Jawahar. I have also spent time at Google.

Google Scholar  /  GitHub

• At ICML 2020, we are organizing a workshop on inductive biases, invariances and generalization in reinforcement learning.
• At ICLR 2020, we organized a workshop on causal learning for decision making.
• In summers of 2019, I was a visitor at Prof. Bernhard Scholkopf's lab.
• In fall and summers of 2018, I was a visitor at Prof. Sergey Levine's lab.
• At ICML 2018, we organized a workshop on efficient credit assignment in deep learning and deep reinforcement learning.
• At ICML 2017, we organized the first workshop on reproducibility in machine learning.

• In Oct 2021, I gave a talk on Inductive Biases for Deep Learning of Higher Level Cognition at Machine Learning Department, CMU.
• In Oct 2021, I gave a talk on Inductive Biases for Deep Learning of Higher Level Cognition at Microsoft Research, New York.
• In Feb 2021, I gave a talk on Inductive Biases for Deep Learning of Higher Level Cognition at University of Toronto.
• In Feb 2021, I gave a talk on Towards Causal Representation Learning at ETH Zurich.
• In Jan 2021, I gave a talk on Recurrent Independent Mechanisms at Yahoo Research.
• In April 2020, I gave a talk on Modularity, Attention and Efficient Credit Assignment at the IAS Workshop on New Directions in Optimization Statistics and Machine Learning.
• In April 2019, I gave a talk at Microsoft Research in Redmond, Seattle on Recurrent Independent Mechanisms.
• In April 2019, I gave a talk at Mila on Inductive Biases, Invariances and Generalization.
• In April 2018, I gave an invited talk at DALI'2018.
• In April 2018, I gave an invited talk at UCL Machine Learning Department.