Laboratory for Information and Decision Systems (LIDS)

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December 2, 2021

2021 EECS Awards

It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by

LIDS & Stats Tea Talk | Zhongxia (Zee) Yan (LIDS)

Note: In accordance with MIT’s COVID policies, we are required to collect contact information from those who attend this event. If you are an MIT Covid Pass holder, please bring your

Virtual LIDS Seminar Series – Max Welling (University of Amsterdam)

Title:Deep Learning for the Physical SciencesSpeaker:Max Welling (University of Amsterdam)Date: Monday, November 22, 2021Time: 11:00 am EDTHost: Prof. Suvrit SraZoom link:https://mit.zoom.us/j/93266970951Meeting ID: 932 6697 0951 Abstract: A number of fields, most prominently speech, vision, and

Doctoral Thesis: Causal inference for Socio-Economic and Engineering Systems

Doctoral Candidate: Anish Agarwal Abstract:What will happen to Y if we do A? A variety of meaningful socio-economic and engineering questions can be formulated this way. To name

LIDS & Stats Tea Talk || George Stepaniants (Mathematics)

Note: In accordance with MIT’s COVID policies, we are required to collect contact information from those who attend this event. If you are an MIT Covid Pass holder, please bring your

Virtual LIDS Seminar Series – Jitendra Malik (Berkeley)

Title:Learning to Walk with Rapid Motor AdaptationSpeaker:Jitendra Malik (Berkeley)Date: Monday, October 25, 2021Time: 4:00 pm EDTHost: Prof. Luca Carlone Abstract: Legged locomotion is commonly studied and programmed as a discrete set of structured gait

LIDS & Stats Tea Talk | Jiawei Zhang (LIDS)

In accordance with MIT’s COVID policies, we are required to collect contact information from those who attend this event. If you are an MIT Covid Pass holder, please bring

September 17, 2021

Making self-driving cars safer through keener robot perception

PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.