Wilka Carvalho's guest appearances

Wilka Carvalho

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

How To Do Grad School

Ilias Diakonikolas

Scott Clark

Celeste Kidd

Dennis Mortensen

Rob Walker

Sanmi Koyejo

Chelsea Finn

Dario Amodei

Jianxiong Xiao

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

David Spiegelhalter

Kristen Grauman

OwlTail

Applying to graduate school can be a maze with questions that are difficult to find answers to. On this episode, we try to answer some of those questions with some help from current grad students, Chelsea Onyeador and Wilka Carvalho. Chelsea is pursuing a Master of Science degree in Aeronautics and Astronautics at MIT, with plans to continue to receive a Ph.D. with the Hypersonics Research Group. Her current research interests lie in fluid mechanics, computational methods, hypersonic boundary layers, and aerodynamics. She is also heavily involved in Diversity, Equity, and Inclusion advocacy work at MIT. Wilka is pursuing a PhD in Machine Learning at the University of Michigan where he studies how object-centric representation learning and reinforcement learning can bring us closer to human-level artificial intelligence. He is interested in developing computational and mechanistic cognitive theories of learning that help us understand how humans infer, reason with, and exploit the rich structure present in realistic visual scenes to enable sophisticated behavioral policies.  Resource for Personal Statements  Resource for Research Statements Changing World by Ben Beiny www.premiumbeat.com

Applying to graduate school can be a maze with questions that are difficult to find answers to. On this episode, we try to answer some of those questions with some help from current grad students, Chelsea Onyeador and Wilka Carvalho. Chelsea is pursuing a Master of Science degree in Aeronautics and Astronautics at MIT, with plans to continue to receive a Ph.D. with the Hypersonics Research Group. Her current research interests lie in fluid mechanics, computational methods, hypersonic boundary layers, and aerodynamics. She is also heavily involved in Diversity, Equity, and Inclusion advocacy work at MIT. <a href="https://wcarvalho.github.io/" rel="nofollow" target="_blank">Wilka</a> is pursuing a PhD in Machine Learning at the University of Michigan where he studies how object-centric representation learning and reinforcement learning can bring us closer to human-level artificial intelligence. He is interested in developing computational and mechanistic cognitive theories of learning that help us understand how humans infer, reason with, and exploit the rich structure present in realistic visual scenes to enable sophisticated behavioral policies. <a href="https://owl.purdue.edu/owl/job_search_writing/preparing_an_application/writing_the_personal_statement/index.html" rel="nofollow" target="_blank"> Resource for Personal Statements</a> <a href="https://owl.purdue.edu/owl/general_writing/graduate_school_applications/writing_a_research_statement.html" rel="nofollow" target="_blank"> Resource for Research Statements</a> Changing World by Ben Beiny <a href="http://www.premiumbeat.com" rel="nofollow" target="_blank">www.premiumbeat.com</a>

#19: Chelsea Onyeador & Wilka Carvalho - Finding Gaps in Your Grad School Apps

Today we’re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. In our conversation, we focus on his paper ‘ROMA: A Relational, Object-Model Learning Agent for Sample-Efficient Reinforcement Learning.’ In the paper, Wilka explores the challenge of object interaction tasks, focusing on every day, in-home functions. We discuss how he’s addressing the challenge of ‘object-interaction’ tasks, the biggest obstacles he’s run into along the way.

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402