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: TBD (Elma Hall)
12:20-13:20	Lunch
	S1 Elma Hall \| Chair: TBD	S1 Gallery 1 \| Chair: TBD
13:20-13:40	Snowball sampling for classification of unbalanced databases \| Khalemsky Anna	The Use of Prediction with the "Situation Room" Interface in a Plant Producing Animal Food \| Ben Ami Dror
13:40-14:00	Towards Efficient Image-based Representation of Tabular Data \| Last Mark	AI/ML for autonomous process control in traditional manufacturing environments \| Yahav Oren
14:00-14:20	Meta-Reinforcement Learning Using Model Parameters \| Stekel Avigail	Advancing Sustainability in Propulsion Systems through Digital Twin Innovations \| Gal Oren
14:20-14:40	Multi-Directional Subspace Editing in Style-Space \| Hel-Or Yacov	Detecting and Preventing the Spread of Pests in Agricultural Regions in Israel and Mexico \| Brodai Orly
14:40-15:00	Revisiting the Noise Model of Stochastic Gradient Descen \| Lindenbaum Ofir
15:00-15:20	Coffee Break
	S2 Elma Hall \| Chair: TBD	S2 Gallery 1 \| Chair: TBD
15:20-15:40	Machine Learning Can Be Used to Predict Gender from Somatic Mutations In 2 Cancers \| Rubin Eitan	Improving Gradient-Trend Identification: Fast-Adaptive Moment Estimation with Finance-Inspired Triple Exponential Moving Average \| Hoogi Assaf
15:40-16:00	Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration \| Aran Dvir	Self-Liking Groups - a novel Network Science Measure for Networks with Heterogeneous Nodes \| Sela Alon
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 \| Ramon Gonen Roni	Complete Neural Networks for Complete Euclidean Graphs \| Hordan Snir
16:20-16:40	Utilizing Deep Learning for the Early Detection of Multiple Cancers through Minimal cfDNA Quantities \| Danilevsky Artem	The Battleship Approach to the Low Resource Entity Matching Problem \| Genossar Bar
16:40-17:00	Learning to Taste: Data, Surprises and New Tools \| Niv Masha	Sharing Data in Social Federated Learning \| Ben Gal Irad
17:00-18:00	Break
18:00-19:00	FLASH TALKS (Elma Hall)
19:00-21:00	Poster Session 1 (Finger food will be served)

Monday, 3.6.2024


08:30-09:00	Registration \| Welcome
09:00-10:00	K2 - Keynote Speaker \| Prof. Tsachy Weissman \| Chair: TBD (Elma Hall)
	M1 Elma Hall \| Chair: TBD	M1 Gallery 1 \| Chair: TBD
10:00-10:20	Ballpark Learning for Political Science: Getting Rid of Ecological Fallacy while Using Real-life Data \| Rappel-Kroyzer Or	Invariant inter-subject relational representations in the human visual cortex \| Lipman Ofer
10:20-10:40	Optimal Allocation of Water for Agricultural and Domestic Use in Arid Zones Under Uncertainty \| Frempong Marcia Achia
10:40-11:00	Urban air-quality estimation using visual cues \| Feldman Alon	Can Large Language Models Replace Economic Choice Prediction Labs? \| Shapira Eilam
11:00-11:20	Coffee Break
	M2 Elma Hall \| Chair: TBD
11:20-11:40	Automatic detection of migrating soaring bird flocks using weather radars by deep learning \| Schekler Inbal
11:40-12:00	Genome-Wide-Association Study of a Signal-based Trait Using Latent Representation \| Lubman Natan
12:00-12:20	Classifying Autism Spectrum Disorder Genes Through Intrinsically Disordered Regions Using Clustering-Based Classification \| Shazman Shula
12:20-12:40	Likelihood-Free Inference with Neural Nets and Simulations in Experimental Evolution \| Ram Yoav
12:40-13:00	ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins \| Frenkel-Morgenstern Milana
13:00-14:00	Lunch
	M3 Elma Hall \| Chair: TBD
14:00-14:20	Editing Text-to-Image Models \| Orgad Hadas	FOSI: Hybrid First and Second Order Optimization \| Sivan Hadar
14:20-14:40	Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals \| Calderon Nitay	Symbolic Regression as a Feature Engineering Tool for Machine and Deep Learning Regression Tasks \| Shmuel Assaf
14:40-15:00	The Perception-Robustness Tradeoff in Deterministic Image Restoration \| Ohayon Guy	Generalization in Overparameterized Transfer Learning \| Dar Yehuda
15:00-15:20	The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth \| Lissak Shir	Meta-Agents: Learning to Regulate Multi-Agent RL Simulations \| Lipman Ofer
15:20-15:40		DSF-GAN: Downstream Feedback Generative Adversarial Network \| Perets Oriel
15:40-16:00	Coffee Break
	M4 Elma Hall \| Chair: TBD	M4 Gallery 1 \| Chair: TBD
16:00-16:20	Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks \| Suissa Omri	Leveraging Digital Tools for Hebrew Manuscript Research and Scholarly Edition Preparation \| Prebor Gila
16:20-16:40	LLMs for Clinical Insight: Analyzing Model-Generated Clinical Summaries of Social Media Timelines \| Klein Ayal	Machine Learning IR spectroscopy: Tradeoff Between the Quality and the Cost of Production \| Rossich Molina Estefania
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 \| Baitner Hallel
17:00-17:20
17:20-18:00	Break
18:00-19:00	FLASH TALKS (Elma Hall)
19:00-21:00	Poster Session 2 (Finger food will be served)

Tuesday, 4.6.2024


08:00-09:00	Registration \| Welcome
09:00-09:50	Keynote Lecture - TBD (Elma Hall)
10:00-11:20	Workshop - Data Science and AI Education \| Avigdor (Avi) Gal	Workshop - The Mathematical Foundations of Privacy, Fairness, and Adaptive Data Analysis \| Prof. Katrina Ligett
11:20-11:40	Coffee Break
11:40-13:20	Workshop (continue) - Data Science and AI Education \| Avigdor (Avi) Gal	Workshop (continue) - The Mathematical Foundations of Privacy, Fairness, and Adaptive Data Analysis \| Prof. Katrina Ligett
13:20-14:20	Lunch
	T3 Elma Hall \| Chair: TBD
14:20-14:40	The Data Science for Social Good program \| Pelleg Dan	Workshop (continue) - The Mathematical Foundations of Privacy, Fairness, and Adaptive Data Analysis \| Prof. Katrina Ligett
14:40-15:00	Predicting the number of visitors at the Nature and Parks Authority sites \| Ovadia Gila
15:00-15:20	Monitoring Mikveh Water Tests for ITIM \| Kidron Omer
15:20-15:40	Churn prediction for Madrasa \| Shapira Sapir
15:40-16:00	Analyzing the Nature and Parks Authority site reviews \| Gofrit Ben
16:00-16:20	Closing Remarks Paul Feigin

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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: TBD (Elma Hall)
12:20-13:20	Lunch
	S1 Elma Hall \| Chair: TBD	S1 Gallery 1 \| Chair: TBD
13:20-13:40	Snowball sampling for classification of unbalanced databases \| Khalemsky Anna	The Use of Prediction with the "Situation Room" Interface in a Plant Producing Animal Food \| Ben Ami Dror
13:40-14:00	Towards Efficient Image-based Representation of Tabular Data \| Last Mark	AI/ML for autonomous process control in traditional manufacturing environments \| Yahav Oren
14:00-14:20	Meta-Reinforcement Learning Using Model Parameters \| Stekel Avigail	Advancing Sustainability in Propulsion Systems through Digital Twin Innovations \| Gal Oren
14:20-14:40	Multi-Directional Subspace Editing in Style-Space \| Hel-Or Yacov	Detecting and Preventing the Spread of Pests in Agricultural Regions in Israel and Mexico \| Brodai Orly
14:40-15:00	Revisiting the Noise Model of Stochastic Gradient Descen \| Lindenbaum Ofir
15:00-15:20	Coffee Break
	S2 Elma Hall \| Chair: TBD	S2 Gallery 1 \| Chair: TBD
15:20-15:40	Machine Learning Can Be Used to Predict Gender from Somatic Mutations In 2 Cancers \| Rubin Eitan	Improving Gradient-Trend Identification: Fast-Adaptive Moment Estimation with Finance-Inspired Triple Exponential Moving Average \| Hoogi Assaf
15:40-16:00	Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration \| Aran Dvir	Self-Liking Groups - a novel Network Science Measure for Networks with Heterogeneous Nodes \| Sela Alon
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 \| Ramon Gonen Roni	Complete Neural Networks for Complete Euclidean Graphs \| Hordan Snir
16:20-16:40	Utilizing Deep Learning for the Early Detection of Multiple Cancers through Minimal cfDNA Quantities \| Danilevsky Artem	The Battleship Approach to the Low Resource Entity Matching Problem \| Genossar Bar
16:40-17:00	Learning to Taste: Data, Surprises and New Tools \| Niv Masha	Sharing Data in Social Federated Learning \| Ben Gal Irad
17:00-18:00	Break
18:00-19:00	FLASH TALKS (Elma Hall)
19:00-21:00	Poster Session 1 (Finger food will be served)

08:30-09:00	Registration \| Welcome
09:00-10:00	K2 - Keynote Speaker \| Prof. Tsachy Weissman \| Chair: TBD (Elma Hall)
	M1 Elma Hall \| Chair: TBD	M1 Gallery 1 \| Chair: TBD
10:00-10:20	Ballpark Learning for Political Science: Getting Rid of Ecological Fallacy while Using Real-life Data \| Rappel-Kroyzer Or	Invariant inter-subject relational representations in the human visual cortex \| Lipman Ofer
10:20-10:40	Optimal Allocation of Water for Agricultural and Domestic Use in Arid Zones Under Uncertainty \| Frempong Marcia Achia
10:40-11:00	Urban air-quality estimation using visual cues \| Feldman Alon	Can Large Language Models Replace Economic Choice Prediction Labs? \| Shapira Eilam
11:00-11:20	Coffee Break
	M2 Elma Hall \| Chair: TBD
11:20-11:40	Automatic detection of migrating soaring bird flocks using weather radars by deep learning \| Schekler Inbal
11:40-12:00	Genome-Wide-Association Study of a Signal-based Trait Using Latent Representation \| Lubman Natan
12:00-12:20	Classifying Autism Spectrum Disorder Genes Through Intrinsically Disordered Regions Using Clustering-Based Classification \| Shazman Shula
12:20-12:40	Likelihood-Free Inference with Neural Nets and Simulations in Experimental Evolution \| Ram Yoav
12:40-13:00	ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins \| Frenkel-Morgenstern Milana
13:00-14:00	Lunch
	M3 Elma Hall \| Chair: TBD
14:00-14:20	Editing Text-to-Image Models \| Orgad Hadas	FOSI: Hybrid First and Second Order Optimization \| Sivan Hadar
14:20-14:40	Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals \| Calderon Nitay	Symbolic Regression as a Feature Engineering Tool for Machine and Deep Learning Regression Tasks \| Shmuel Assaf
14:40-15:00	The Perception-Robustness Tradeoff in Deterministic Image Restoration \| Ohayon Guy	Generalization in Overparameterized Transfer Learning \| Dar Yehuda
15:00-15:20	The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth \| Lissak Shir	Meta-Agents: Learning to Regulate Multi-Agent RL Simulations \| Lipman Ofer
15:20-15:40		DSF-GAN: Downstream Feedback Generative Adversarial Network \| Perets Oriel
15:40-16:00	Coffee Break
	M4 Elma Hall \| Chair: TBD	M4 Gallery 1 \| Chair: TBD
16:00-16:20	Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks \| Suissa Omri	Leveraging Digital Tools for Hebrew Manuscript Research and Scholarly Edition Preparation \| Prebor Gila
16:20-16:40	LLMs for Clinical Insight: Analyzing Model-Generated Clinical Summaries of Social Media Timelines \| Klein Ayal	Machine Learning IR spectroscopy: Tradeoff Between the Quality and the Cost of Production \| Rossich Molina Estefania
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 \| Baitner Hallel
17:00-17:20
17:20-18:00	Break
18:00-19:00	FLASH TALKS (Elma Hall)
19:00-21:00	Poster Session 2 (Finger food will be served)