Sridhar Mahadevan
Research Professor
Director, Adobe Research
Co-Director, Autonomous Learning Laboratory
Research Interests
Artificial Intelligence
Category Theory
Machine Learning
Variational Inequalities
CONTACT INFO:
firstname.i.lastname AT gmail
Administrative Assistant: Sarah Byrne
My current research involves the application of category theory to construct universal models of intelligence, from causality, creativity and imagination, to decision making and learning. A universal property of an object c in a category C is a representable functor F that has a natural isomorphism with the set of all morphisms into c, namely Hom(-, c) given by the Yoneda Lemma. See my recent papers on universal causal inference and universal decision making.
Selected Recent Papers and Talks
Sridhar Mahadevan, On the Universality of Causal Diagrams and the Causal Reproducing Property, Arxiv, July 2022
Sridhar Mahadevan, Universal Decision Models ( (download slides), Invited Talk, Indian Institute of Science, October 23rd, 2021
Sridhar Mahadevan, Universal Decision Models, Arxiv, 2021
Sridhar Mahadevan, Asymptotic Causal Inference, Arxiv, 2021.
Sridhar Mahadevan, Causal Homotopy, Arxiv, 2021.
Sridhar Mahadevan, Causal Inference in Network Economics, Arxiv, 2021.
Sridhar Mahadevan, Anup Rao, Jennifer Healey, Georgios Theocharous, Multi-scale Manifold Warping, Arxiv, 2021.
Sridhar Mahadevan, New Directions in Planning, Tutorial, International Conference on Automated Scheduling and Planning Systems (ICAPS), 2020.
