Agenda

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Please note that this agenda and scheduling is subject to changes

09:20 - 09:40

AI in the Quantum Age

10:05 - 10:30

Keynote: AI Innovations and their Intel Applications

12:10 - 12:40

AI & AUTOMOTIVE SESSION

12:40 - 13:00

VAE-based synthetic anomalies generation for model selection tasks

13:00 - 13:20

Using Reinforcement Learning for Autonomous Bulldozers Grading Task

13:20 - 13:45

Remote Split-second Phantom Attacks on AI of Semi\full Autonomous Cars

13:45 - 15:35

DEEP LEARNING FOR TABULAR DATA SESSION

13:46 - 13:55 Deep Learning for Tabular Data – Innovation Meets Practice

   Adi Watzman, ML Research Scientist at PayPal

13:55 - 14:20 From Tabular Logs to Sequence Processing – Behavioral Patterns in Your Data

  Yarden Raiskin, Senior Machine Learning Scientist at PayPal

14:20 - 14:30 Tabular Data: Deep Learning is Not All You Need

  Dr. Ravid Shwartz-Ziv, Research Scientist, NYU & Intel

14:30 - 14:40 TabTransformer: Tabular Data Modeling Using Contextual Embeddings

  Dr. Zohar Karnin, Principal Applied Scientist, Amazon

14:40 - 14:50 Random Effects in Deep Learning: Accounting for High-Cardinality Categorical Features and Correlated Data

  Giora Simchoni, PhD candidate at TAU

14:50 - 15:00 Joint Q&A

  Dr. Zohar Karnin, Principal Applied Scientist, Amazon

  Dr. Ravid Shwartz-Ziv, Research Scientist, NYU & Intel

  Giora Simchoni, PhD candidate at TAU

15:00 - 15:35 Panel Discussion: DL for Tabular Temporal Data - Industry Applications

  Sharon Datner, Principal Machine Learning Scientist at PayPal

  Yarden Raiskin, Senior Machine Learning Scientist at PayPal

  Maya Cohen Maimon, AI & Cyber Architect - Innovation, NEC Israel Research Center

  Andrey Nikitin, Data Scientist at Wix

15:35 - 16:05

DEEP LEARNING THEORY SESSION

15:45 - 16:05

 Moderator: Prof. Saharon Rosset, Professor in the Department of Statistics and Operations Research, Tel Aviv University

15:45 - 16:05 - The Relationship between Genotype and Phenotype in Autism: A Case Study that Blends the Data and Science of Data Science

 Abba Krieger, Robert Steinberg Professor Emeritus of Data Science and Statistics at the University of Pennsylvania

16:05 - 16:25
16:25 - 16:45
16:45 - 17:05

Learning with more parameters than examples: Stochastic Convex Optimization as a case study

17:05 - 17:30

The unreasonable effectiveness of deep learning

09:05 - 09:25

AI as Key for the Future of Israeli High-tech

12:30 - 13:00
14:05 - 14:30

Balancing between latency and accuracy in NWDAF

14:30 - 15:00

APPLIED AI SESSION

15:00 - 15:20

From Zero to One: Product embeddings at Meta Shops

15:20 - 15:35
15:35 - 16:00

Federated Learning and Scalable AI

16:50 - 17:10

Machine Learning Helping One Child At a Time: Novel Approaches for Autism Spectrum Disorder

17:10 - 17:25

Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers

09:25 - 09:40
09:40 - 09:45

Redesigning Immediate Diabetic Retinopathy Screening

10:25 - 10:45

Clinical and research impacts using deep learning and genomics

10:45 - 11:15

Verily Research: Recent Results in Medical Imaging

12:25 - 12:45

Seeing the Unseen – a New Scheme for Missing Mass Estimation

12:45 - 13:00

AlignNLP: Harnessing Natural Language Processing Methods for Sequence Alignment

13:00 - 13:15

Weakly Supervised Multimodal 30-day all-cause Mortality Prediction for Pulmonary Embolism Patients

13:15 - 13:45

AI & ETHICS SESSION

14:30 - 14:45
14:45 - 15:00

A system theoretic approach to explore safe return to new normal in the face of COVID-19 pandemic related uncertainties

15:00 - 15:15

Health RI - Dutch National Health Data Infrastructure for Research and Innovation, including AI: Covid use case

16:30 - 16:50

Turning GANs into Useful Consumer Products