Calendar

Sample-efficient and domain robust machine learning using privileged information

1 Feb

Seminars and lectures

Wednesday 2023-02-01, 13:15

Participating: Fredrik Johansson

Location: Fantum, Lindstedtsvägen 24, floor 5

2023-02-01T13:15:00.000+01:00 2023-02-01T13:15:00.000+01:00 Sample-efficient and domain robust machine learning using privileged information (Seminars and lectures) Fantum, Lindstedtsvägen 24, floor 5 (KTH, Stockholm, Sweden)Sample-efficient and domain robust machine learning using privileged information (Seminars and lectures)

A Further Step of Causal Discovery towards Real-World Impacts

2 Feb

Public defences of doctoral theses

Computer Science

Thursday 2023-02-02, 09:00

Location: F3, Lindstedtsvägen 26 & 28, Stockholm

Doctoral student: Ruibo Tu , Robotik, perception och lärande, RPL

2023-02-02T09:00:00.000+01:00 2023-02-02T09:00:00.000+01:00 A Further Step of Causal Discovery towards Real-World Impacts (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)A Further Step of Causal Discovery towards Real-World Impacts (Public defences of doctoral theses)

Multi-Agent Mission Planning and Execution for Small Autonomous Underwater Vehicles

2 Feb

Public defences of doctoral theses

Computer Science

Thursday 2023-02-02, 13:00

Location: F3, Lindstedtsvägen 26 & 28, Stockholm

Video link: https://kth-se.zoom.us/j/63193775118

Doctoral student: Özer Özkahraman , Robotik, perception och lärande, RPL

2023-02-02T13:00:00.000+01:00 2023-02-02T13:00:00.000+01:00 Multi-Agent Mission Planning and Execution for Small Autonomous Underwater Vehicles (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Multi-Agent Mission Planning and Execution for Small Autonomous Underwater Vehicles (Public defences of doctoral theses)

Parameterizing and Simulating from Causal Models

3 Feb

Seminars and lectures

Friday 2023-02-03, 14:00

Participating: Robin Evans

Location: Jan-Olof Eklundh, Teknikringen 14, floor 3

2023-02-03T14:00:00.000+01:00 2023-02-03T14:00:00.000+01:00 Parameterizing and Simulating from Causal Models (Seminars and lectures) Jan-Olof Eklundh, Teknikringen 14, floor 3 (KTH, Stockholm, Sweden)Parameterizing and Simulating from Causal Models (Seminars and lectures)

Robots That Understand Natural Language Instructions and Resolve Ambiguities

17 Mar

Public defences of doctoral theses

Computer Science

Friday 2023-03-17, 14:00

Location: F3, Lindstedtsvägen 26 & 28, Stockholm

Video link: zoom link for online defense

Doctoral student: Fethiye Irmak Dogan , Robotik, perception och lärande, RPL

2023-03-17T14:00:00.000+01:00 2023-03-17T14:00:00.000+01:00 Robots That Understand Natural Language Instructions and Resolve Ambiguities (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Robots That Understand Natural Language Instructions and Resolve Ambiguities (Public defences of doctoral theses)

Learning Behavior Trees for Collaborative Robotics

12 Jun

Public defences of doctoral theses

Computer Science

Monday 2023-06-12, 10:00

Location: Kollegiesalen, Brinellvägen 8, Stockholm

Video link: https://kth-se.zoom.us/j/64592198901

Doctoral student: Matteo Iovino , Robotik, perception och lärande, RPL

2023-06-12T10:00:00.000+02:00 2023-06-12T10:00:00.000+02:00 Learning Behavior Trees for Collaborative Robotics (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Learning Behavior Trees for Collaborative Robotics (Public defences of doctoral theses)

Structured Representations for Explainable Deep Learning

12 Jun

Public defences of doctoral theses

Computer Science

Monday 2023-06-12, 14:00

Location: F3, Lindstedtsvägen 26 & 28, Stockholm

Video link: https://kth-se.zoom.us/j/66725845533

Doctoral student: Federico Baldassarre , Robotik, perception och lärande, RPL

2023-06-12T14:00:00.000+02:00 2023-06-12T14:00:00.000+02:00 Structured Representations for Explainable Deep Learning (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Structured Representations for Explainable Deep Learning (Public defences of doctoral theses)

Assumptions in Synthesis

20 Nov

Public defences of doctoral theses

Computer Science

Monday 2023-11-20, 14:00

Location: F3 (Flodis), Lindstedtsvägen 26, 114 28

Doctoral student: Georg Friedrich Schuppe , Robotik, perception och lärande, RPL

2023-11-20T14:00:00.000+01:00 2023-11-20T14:00:00.000+01:00 Assumptions in Synthesis (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26, 114 28 (KTH, Stockholm, Sweden)Assumptions in Synthesis (Public defences of doctoral theses)