Conference Program

Israel Data Science and AI Initiative 3rd Annual Conference

June 2-4, 2024

Sunday, 2.6.2024


10:00-11:00	Registration \| Welcome
11:00-11:20	Opening Remarks \| Prof. Paul Feigin (Elma Hall)
11:20-12:20	K1 - Keynote Speaker \| Prof. Sarit Kraus \| Chair: Paul Feigin (Elma Hall)
12:20-13:20	Lunch
	S1 A Elma Hall \| Chair: Sol Efroni	S1 B Gallery 1 \| Chair: Yael Dubinsky
13:20-13:40	Snowball Sampling for Classification of Unbalanced databases \| Anna Khalemsky	AI/ML for Autonomous Process Control in Traditional Manufacturing Environments \| Oren Yahav
13:40-14:00	Towards Efficient Image-Based Representation of Tabular Data \| Mark Last	Detecting and Preventing the Spread of Pests in Agricultural Regions in Israel and Mexico \| Hadas Sisso
14:00-14:20	Meta-Reinforcement Learning Using Model Parameters \| Avigail Steckel	Advancing Sustainability in Propulsion Systems Through Digital Twin Innovations \| Gal Oren
14:20-14:40	Multi-Directional Subspace Editing in Style-Space \| Yacov Hal-Or	The Use of Prediction with the "Situation Room" Interface in a Plant Producing Animal Food \| Matan Ben Yishai & Dror Ben Ami
14:40-15:00	Revisiting the Noise Model of Stochastic Gradient Descen \| Ofir Lindenbaum
15:00-15:20	Coffee Break
	S2 A Elma Hall \| Chair: TBD	S2 B Gallery 1 \| Chair: Irad Ben Gal
15:20-15:40	Machine Learning Can Be Used to Predict Gender from Somatic Mutations In 2 Cancers \| Eitan Rubin	Sharing Data in Social Federated Learning \| Irad Ben Gal
15:40-16:00	Transformer-Based Time-to-Event Prediction for Chronic Kidney Disease Deterioration \| Dvir Aran	Self-Liking Groups - a Novel Network Science Measure for Networks with Heterogeneous Nodes \| Alon Sela
16:00-16:20	Evaluation of Large Language Models for Personalized Decision-Making in Coronary Artery Revascularization: Comparing ChatGPT-3.5 and ChatGPT-4 Performance \| Roni Ramon Gonen	Complete Neural Networks for Complete Euclidean Graphs \| Snir Hordan
16:20-16:40	Utilizing Deep Learning for the Early Detection of Multiple Cancers Through Minimal cfDNA Quantities \| Artem Danilevsky, Ilya Margolin	The Battleship Approach to the Low Resource Entity Matching Problem \| Bar Genossar
16:40-17:00	Learning to Taste: Data, Surprises and New Tools \| Masha Niv	Improving Gradient-Trend Identification: Fast-Adaptive Moment Estimation with Finance-Inspired Triple Exponential Moving Average \| Assaf Hoogi
17:00-18:00	Break
18:00-19:00	Flash Talks (Elma Hall)
19:00-21:00	Reception and Poster Session 1

Monday, 3.6.2024


08:30-09:00	Registration \| Welcome
09:00-10:00	K2 - Keynote Speaker \| Prof. Tsachy Weissman \| Chair: Paul Feigin (Elma Hall)
	M1 A, Elma Hall \| Chair: Or Rappel Kroyzer	M1 B, Gallery 1 \| Chair: Judith Somekh
10:00-10:20	Ballpark Learning for Political Science: Getting Rid of Ecological Fallacy while Using Real-life Data \| Or Rappel-Kroyzer	Invariant Inter-Subject Relational Representations in the Human Visual Cortex \| Ofer Lipman
10:20-10:40	Optimal Allocation of Water for Agricultural and Domestic Use in Arid Zones Under Uncertainty \| Marcia Achia Frempong	ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins \| Milana Frenkel-Morgenstern
10:40-11:00	Urban Air-Quality Estimation Using Visual Cues \| Alon Feldman	Can Large Language Models Replace Economic Choice Prediction Labs? \| Eilam Shapira
11:00-11:20	Coffee Break
	M2 A, Elma Hall \| Chair: Isana Veksler Lublinsky
11:20-11:40	Automatic Detection of Migrating Soaring Bird Flocks Using Weather Radars by Deep Learning \| Inbal Schekler
11:40-12:00	Genome-Wide-Association Study of a Signal-Based Trait Using Latent Representation \| Natan Lubman
12:00-12:20	Classifying Autism Spectrum Disorder Genes Through Intrinsically Disordered Regions Using Clustering-Based Classification \| Shula Shazman
12:20-12:40	Likelihood-Free Inference with Neural Nets and Simulations in Experimental Evolution \| Yoav Ram
12:40-13:00	Age-Related Modifications in Inter-tissue Coordinated Gene-Expression Patterns \| Judith Somekh
13:00-14:00	Lunch
	M3 A, Elma Hall \| Chair: Hadas Orgad	M3 B, Gallery 1 \| Chair: Nadav Rappoport
14:00-14:20	Editing Text-to-Image Models \| Hadas Orgad	FOSI: Hybrid First and Second Order Optimization \| Hadar Sivan
14:20-14:40	Faithful Explanations of Black-Box NLP Models Using LLM-Generated Counterfactuals \| Nitay Calderon	Symbolic Regression as a Feature Engineering Tool for Machine and Deep Learning Regression Tasks \| Assaf Shmuel
14:40-15:00	The Perception-Robustness Tradeoff in Deterministic Image Restoration \| Guy Ohayon	Generalization in Overparameterized Transfer Learning \| Yehuda Dar
15:00-15:20	The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth \| Shir Lissak	Meta-Agents: Learning to Regulate Multi-Agent RL Simulations \| Doron Friedman
15:20-15:40	Towards Reverse Algorithmic Engineering of Neural Networks \| Elad Shoham	DSF-GAN: Downstream Feedback Generative Adversarial Network \| Oriel Perets
15:40-16:00	Coffee Break
	M4 A, Elma Hall \| Chair: Havana Rika	M4 B, Gallery 1 \| Chair: Hallel Baitner
16:00-16:20	Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks \| Omri Suissa	Leveraging Digital Tools for Hebrew Manuscript Research and Scholarly Edition Preparation \| Gila Prebor
16:20-16:40	LLMs for Clinical Insight: Analyzing Model-Generated Clinical Summaries of Social Media Timelines \| Ayal Klein	Machine Learning IR spectroscopy: Tradeoff Between the Quality and the Cost of Production \| Estefania Rossich Molina
16:40-17:00	The DNA of Sarcasm and its Implication in Cross-Domain Tasks \| Rika Havana	Dating the Dead Sea Scrolls Using Computational Linguistics Tools \| Hallel Baitner
17:00-18:00	Break
18:00-19:00	Flash Talks (Elma Hall)
19:00-21:00	Reception and Poster Session 2

Tuesday, 4.6.2024


08:30-09:00	Registration \| Welcome
09:00-09:50	Data to Paper with AI: Empowering Scientific Research From \| Romi Goldner & Ofer Tal, Oracle (The Cube)
	T1 A, The Cube	T1 B, Gallery 1
10:00-11:20	Workshop - Data Science and AI Education \| Avigdor (Avi) Gal (Organizer) Speakers: Koby Mike, Salamon Lesley, Niva Elkin-Koren, Erez Firt, Orit Hazzan	Workshop - The Mathematical Foundations of Privacy, Fairness, and Adaptive Data Analysis \| Katrina Ligett (Organizer) Speakers: Edith Cohen ,Yishay Mansour, Shay Moran, Tal Herman, Adi Haviv, Hilla Schefler, Bogdan Chornomaz, Ran Canetti, Moshe Shenfeld, Tomer Shoham, Etam Benger
11:20-11:40	Coffee Break
	T2 A, The Cube	T2 B, Gallery 1
11:40-13:20	Workshop (continue) - Data Science and AI Education \| Avigdor (Avi) Gal (Organizer) Speakers: Koby Mike, Salamon Lesley, Niva Elkin-Koren, Erez Firt, Orit Hazzan	Workshop (continue) - The Mathematical Foundations of Privacy, Fairness, and Adaptive Data Analysis \| Katrina Ligett (Organizer) Speakers: Edith Cohen ,Yishay Mansour, Shay Moran, Tal Herman, Adi Haviv, Hilla Schefler, Bogdan Chornomaz, Ran Canetti, Moshe Shenfeld, Tomer Shoham, Etam Benger
13:20-14:20	Lunch
	T3 A, The Cube \| Chair: Pelleg Dan	Gallery 1
14:20-14:40	The Data Science for Social Good Program \| Dan Pelleg	Workshop (continue) - The Mathematical Foundations of Privacy, Fairness, and Adaptive Data Analysis \| Katrina Ligett (Organizer) Speakers: Edith Cohen ,Yishay Mansour, Shay Moran, Tal Herman, Adi Haviv, Hilla Schefler, Bogdan Chornomaz, Ran Canetti, Moshe Shenfeld, Tomer Shoham, Etam Benger
14:40-15:00	Predicting the Number of Visitors at the Nature and Parks Authority Sites \| Gila Ovadia
15:00-15:20	Monitoring Mikveh Water Tests for ITIM \| Omer Kidron
15:20-15:40	Churn Prediction for Madrasa \| Sapir Shapira
15:40-16:00	Analyzing the Nature and Parks Authority Site Reviews \| Ben Gofrit
16:00-16:20	Closing Remarks (The Cube)

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10:00-11:00	Registration \| Welcome
11:00-11:20	Opening Remarks \| Prof. Paul Feigin (Elma Hall)
11:20-12:20	K1 - Keynote Speaker \| Prof. Sarit Kraus \| Chair: Paul Feigin (Elma Hall)
12:20-13:20	Lunch
	S1 A Elma Hall \| Chair: Sol Efroni	S1 B Gallery 1 \| Chair: Yael Dubinsky
13:20-13:40	Snowball Sampling for Classification of Unbalanced databases \| Anna Khalemsky	AI/ML for Autonomous Process Control in Traditional Manufacturing Environments \| Oren Yahav
13:40-14:00	Towards Efficient Image-Based Representation of Tabular Data \| Mark Last	Detecting and Preventing the Spread of Pests in Agricultural Regions in Israel and Mexico \| Hadas Sisso
14:00-14:20	Meta-Reinforcement Learning Using Model Parameters \| Avigail Steckel	Advancing Sustainability in Propulsion Systems Through Digital Twin Innovations \| Gal Oren
14:20-14:40	Multi-Directional Subspace Editing in Style-Space \| Yacov Hal-Or	The Use of Prediction with the "Situation Room" Interface in a Plant Producing Animal Food \| Matan Ben Yishai & Dror Ben Ami
14:40-15:00	Revisiting the Noise Model of Stochastic Gradient Descen \| Ofir Lindenbaum
15:00-15:20	Coffee Break
	S2 A Elma Hall \| Chair: TBD	S2 B Gallery 1 \| Chair: Irad Ben Gal
15:20-15:40	Machine Learning Can Be Used to Predict Gender from Somatic Mutations In 2 Cancers \| Eitan Rubin	Sharing Data in Social Federated Learning \| Irad Ben Gal
15:40-16:00	Transformer-Based Time-to-Event Prediction for Chronic Kidney Disease Deterioration \| Dvir Aran	Self-Liking Groups - a Novel Network Science Measure for Networks with Heterogeneous Nodes \| Alon Sela
16:00-16:20	Evaluation of Large Language Models for Personalized Decision-Making in Coronary Artery Revascularization: Comparing ChatGPT-3.5 and ChatGPT-4 Performance \| Roni Ramon Gonen	Complete Neural Networks for Complete Euclidean Graphs \| Snir Hordan
16:20-16:40	Utilizing Deep Learning for the Early Detection of Multiple Cancers Through Minimal cfDNA Quantities \| Artem Danilevsky, Ilya Margolin	The Battleship Approach to the Low Resource Entity Matching Problem \| Bar Genossar
16:40-17:00	Learning to Taste: Data, Surprises and New Tools \| Masha Niv	Improving Gradient-Trend Identification: Fast-Adaptive Moment Estimation with Finance-Inspired Triple Exponential Moving Average \| Assaf Hoogi
17:00-18:00	Break
18:00-19:00	Flash Talks (Elma Hall)
19:00-21:00	Reception and Poster Session 1

08:30-09:00	Registration \| Welcome
09:00-10:00	K2 - Keynote Speaker \| Prof. Tsachy Weissman \| Chair: Paul Feigin (Elma Hall)
	M1 A, Elma Hall \| Chair: Or Rappel Kroyzer	M1 B, Gallery 1 \| Chair: Judith Somekh
10:00-10:20	Ballpark Learning for Political Science: Getting Rid of Ecological Fallacy while Using Real-life Data \| Or Rappel-Kroyzer	Invariant Inter-Subject Relational Representations in the Human Visual Cortex \| Ofer Lipman
10:20-10:40	Optimal Allocation of Water for Agricultural and Domestic Use in Arid Zones Under Uncertainty \| Marcia Achia Frempong	ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins \| Milana Frenkel-Morgenstern
10:40-11:00	Urban Air-Quality Estimation Using Visual Cues \| Alon Feldman	Can Large Language Models Replace Economic Choice Prediction Labs? \| Eilam Shapira
11:00-11:20	Coffee Break
	M2 A, Elma Hall \| Chair: Isana Veksler Lublinsky
11:20-11:40	Automatic Detection of Migrating Soaring Bird Flocks Using Weather Radars by Deep Learning \| Inbal Schekler
11:40-12:00	Genome-Wide-Association Study of a Signal-Based Trait Using Latent Representation \| Natan Lubman
12:00-12:20	Classifying Autism Spectrum Disorder Genes Through Intrinsically Disordered Regions Using Clustering-Based Classification \| Shula Shazman
12:20-12:40	Likelihood-Free Inference with Neural Nets and Simulations in Experimental Evolution \| Yoav Ram
12:40-13:00	Age-Related Modifications in Inter-tissue Coordinated Gene-Expression Patterns \| Judith Somekh
13:00-14:00	Lunch
	M3 A, Elma Hall \| Chair: Hadas Orgad	M3 B, Gallery 1 \| Chair: Nadav Rappoport
14:00-14:20	Editing Text-to-Image Models \| Hadas Orgad	FOSI: Hybrid First and Second Order Optimization \| Hadar Sivan
14:20-14:40	Faithful Explanations of Black-Box NLP Models Using LLM-Generated Counterfactuals \| Nitay Calderon	Symbolic Regression as a Feature Engineering Tool for Machine and Deep Learning Regression Tasks \| Assaf Shmuel
14:40-15:00	The Perception-Robustness Tradeoff in Deterministic Image Restoration \| Guy Ohayon	Generalization in Overparameterized Transfer Learning \| Yehuda Dar
15:00-15:20	The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth \| Shir Lissak	Meta-Agents: Learning to Regulate Multi-Agent RL Simulations \| Doron Friedman
15:20-15:40	Towards Reverse Algorithmic Engineering of Neural Networks \| Elad Shoham	DSF-GAN: Downstream Feedback Generative Adversarial Network \| Oriel Perets
15:40-16:00	Coffee Break
	M4 A, Elma Hall \| Chair: Havana Rika	M4 B, Gallery 1 \| Chair: Hallel Baitner
16:00-16:20	Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks \| Omri Suissa	Leveraging Digital Tools for Hebrew Manuscript Research and Scholarly Edition Preparation \| Gila Prebor
16:20-16:40	LLMs for Clinical Insight: Analyzing Model-Generated Clinical Summaries of Social Media Timelines \| Ayal Klein	Machine Learning IR spectroscopy: Tradeoff Between the Quality and the Cost of Production \| Estefania Rossich Molina
16:40-17:00	The DNA of Sarcasm and its Implication in Cross-Domain Tasks \| Rika Havana	Dating the Dead Sea Scrolls Using Computational Linguistics Tools \| Hallel Baitner
17:00-18:00	Break
18:00-19:00	Flash Talks (Elma Hall)
19:00-21:00	Reception and Poster Session 2