Steven Van Vaerenbergh

RevEye Reverse Image Search 2

Steven Van Vaerenbergh

ChatGPT 4 system prompt (December 16, 2023)

Steven Van Vaerenbergh

ChatGPT 3.5 system prompt (December 16, 2023)

Steven Van Vaerenbergh

GitHub Copilot demonstration October 2023 (part 2)

Steven Van Vaerenbergh

GitHub Copilot demonstration October 2023 (part 1)

Steven Van Vaerenbergh

Demo of ChatGPT's visual capabilities (Oct. 2023)

Steven Van Vaerenbergh

Demo of ChatGPT's Advanced Data Analysis (Oct. 2023)

Steven Van Vaerenbergh

Geometric reasoning with ChatGPT and GeoGebra, part 2

Steven Van Vaerenbergh

ChatGPT 3 minute presentation

Steven Van Vaerenbergh

Copilot demonstration April 2023

Steven Van Vaerenbergh

Using ChatPDF to chat with an astrophysics paper

Steven Van Vaerenbergh

Using D-ID to create a talking avatar video

Steven Van Vaerenbergh

Using ChatPDF to automatically generate Python code from pseudocode in an academic article

Steven Van Vaerenbergh

Geometric reasoning with ChatGPT and GeoGebra, part 1

Steven Van Vaerenbergh

RevEye Reverse Image Search

Steven Van Vaerenbergh

Aki Vehtari Stan and probabilistic programming (MLSP 2020 tutorial)

Steven Van Vaerenbergh

Razvan Pascanu Improving learning efficiency for deep neural networks (MLSP 2020 keynote)

Steven Van Vaerenbergh

Ole Winther Latent variable models from independent components to VAEs and flows (MLSP2020 keynote)

Steven Van Vaerenbergh

Michael Unser Splines and Machine Learning From classical RKHS methods to DNN (MLSP 2020 keynote)

Steven Van Vaerenbergh

Truyen Tran - Learning to Remember More with Less Memorization (ICLR 2019 talk)

Steven Van Vaerenbergh

Robert Geirhos ImageNet-trained CNNs are biased towards texture (ICLR 2019 talk)

Steven Van Vaerenbergh

John M. Abowd The U.S. Census Bureau Tries to be a Good Data Steward in the 21st Century

Steven Van Vaerenbergh

ICLR Debate with Leslie Kaelbling (ICLR 2019)

Steven Van Vaerenbergh

Yikang Shen Ordered Neurons Integrating Tree Structures into Recurrent Neural Networks (ICLR2019)

Steven Van Vaerenbergh

Pierre-Yves Oudeyer Developmental Autonomous Learning (ICLR 2019 invited talk)

Steven Van Vaerenbergh

Ian Goodfellow Adversarial Machine Learning (ICLR 2019 invited talk)

Steven Van Vaerenbergh

J. Frankle & M. Carbin The Lottery Ticket Hypothesis Finding Sparse, Trainable Neural Networks

Steven Van Vaerenbergh

Susan Athey Counterfactual Inference (NeurIPS 2018 Tutorial)

Steven Van Vaerenbergh

Alex Graves and Marc'Aurelio Ranzato Unsupervised Deep Learning (NeurIPS 2018 Tutorial)

Steven Van Vaerenbergh

Frank Hutter and Joaquin Vanschoren Automatic Machine Learning (NeurIPS 2018 Tutorial)

Steven Van Vaerenbergh