Memento EPFL | EPFL

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AMLD 2021 Workshop – Fraud detection with unsupervised ML

Start date: 29.09.2021 09:00 13:00

Location: STCC Category: Conferences - Seminars
Target audience: Informed public

AMLD 2021 Workshop – Graph Neural Networks for structured data

Start date: 29.09.2021 09:00 13:00

Category: Conferences - Seminars
Target audience: Informed public

AMLD 2021 Workshop – Flatland: Multi-Agent Reinforcement Learning for Trains

Start date: 29.09.2021 09:00 17:00

Location: STCC Category: Conferences - Seminars
Target audience: Informed public

lunch&LEARN: Developing expertise - a practical approach to teaching in hands-on settings

Start date: 29.09.2021 12:15 13:30

Speaker: Siara Isaac, Roland Tormey Location: Online Category: Conferences - Seminars
Target audience: General public

AMLD 2021 Workshop – Shedding Light on obscure Graph Deep Learning

Start date: 29.09.2021 13:00 17:00

Location: STCC Category: Conferences - Seminars
Target audience: Informed public

AMLD 2021 Workshop – No mercy for manual entry

Start date: 29.09.2021 13:00 17:00

Location: STCC Category: Conferences - Seminars
Target audience: Informed public

AMLD 2021 Workshop – From Sketch(y) to Picture(sque) with Deep Learning

Start date: 29.09.2021 13:00 17:00

Location: STCC Category: Conferences - Seminars
Target audience: Informed public

BMI Seminar // Vanessa Ruta - Themes and Variations: Circuit mechanisms of behavioral evolution

Start date: 29.09.2021 16:00 17:00

Speaker: Vanessa Ruta, The Rockefeller University, New York, USA Location: SV 1717 , Online Category: Conferences - Seminars
Target audience: Informed public

Electrical Losses Mitigation in Silicon Heterojunction Solar Cells

Start date: 29.09.2021 17:30

Speaker: Laurie-Lou SENAUD Location: MC A1 272 Category: Thesis defenses
Target audience: General public

Personalizable computational models of electrical spinal cord stimulation to restore function after neurological disorders

Start date: 29.09.2021 18:00

Speaker: Andreas ROWALD Location: Zoom meeting Category: Thesis defenses
Target audience: General public