30-Minute talks

Dr. Anna Levant

Dr. Anna Levant

3D Metrology: Seeing the Unseen

Aviv Ben-Arie

Aviv Ben-Arie

Counterfactual Explanations:
The Future of Explainable AI?

Lightning talks

Noy Cohen-Shapira

TRIO: Task-agnostic Dataset Representation Optimized for Automatic Algorithm Selection

Veronica Latcinnik

Veronica Latcinnik

Maximum Unlikelihood – the NLP Researcher’s Swiss Knife

Chen Amiraz

Chen Amiraz

How a Thousand Little Failures Can Turn Into Success

Sivan Biham

Sivan Biham

Wounds Over Time – Tracking Wound Healing via 3D Models

Liora Braunstein

Liora Braunstein

Your APIs are talking –
Are You Listening?

Yarden Ravid

Yarden Ravid

Car Crashes – Using Data Science to Help People During This Life Crisis

Shir Chorev

Best Practices for Validating Your ML Model & Data Before Deployment

Daphna Idelson

Daphna Idelson

MAFAT Radar Challenge 2020: Insights and Lessons from the Winning Entry

Planned Agenda

8:45 Reception
9:30 Opening words by WiDS TLV ambassadors Or Basson and Noah Eyal Altman
9:40 Dr. Kira Radinski - Learning to predict the future of healthcare
10:10 Prof. Yonina Eldar - Model-Based Deep Learning: Applications to Imaging and Communications
10:40 Break
10:50 Lightning talks
12:20 Lunch & Poster session
13:20 Roundtable session & Poster session
14:05 Roundtable closure
14:20 Break
14:30 Dr. Anna Levant - 3D Metrology: Seeing the Unseen
15:00 Aviv Ben-Arie - Counterfactual Explanations: The Future of Explainable AI?
15:30 Closing remarks
15:40 End
12:30 Lunch & Poster session
Adi Watzman - Nobody is Perfect – How Do We Debug ML Models?
14:30 Roundtable closure
14:45 Gal Yona - How Fair Can We Be
15:15 Daphna Weissglas - Turning Data Science Into Precision Medicine Empowering Millions
15:45 Closing remarks