Data Science Platform

חדר ישיבות גולן, משרדי מטריקס

The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings (Tomer Galanti, DSI Learning Club)

Gonda Building (901), Room 101

Tomer Galanti (PhD Student, Tel Aviv University) The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings Abstract: We discuss the feasibility of the following learning problem: given unmatched samples from two domains and nothing else, learn a mapping between the two, which preserves semantics. Due to the lack of paired samples and without ... Read more

High-Order Attention Models for Visual Question Answering (Idan Schwartz, DSI Learning Club)

Gonda Building (901), Room 101

Apr 26th, Thu 10:00 , Idan Schwartz (webpage). Technion – Israel Institute of Technology (PhD Student). Location: Gonda Building (901), Room 101. High-Order Attention Models for Visual Question Answering Abstract: The quest for algorithms that enable cognitive abilities is an important part of machine learning. A common trait in many recently investigated cognitive-like tasks is ... Read more

Challenges in social advertisement networks

Building 216 room 201

Special Applied math seminar - Thursday, Apr. 26, at 14:00, in the Math Department seminar room. This week's seminar will host a special guest from StartApp - a Mobile Technology Company *** May be of interest to the the broader data-oriented public *** Dr. Shlomi Beer StartApp   Challenges in social advertisement networks Social networks have been ... Read more

Talking to your Virtual Assistant about anything by  Jonathan Berant (DSI Learning Club)

Gonda Building 901, Room 101

On Thursday, May 3rd, we are hosting Jonathan Berant from TAU.   Title: Talking to your Virtual Assistant about anything When: May 3rd, Thu 10:15. Light refreshments at 10:00. Where: Gonda Building 901, Room 101 Abstract: Conversational interfaces and virtual assistants are now part of our lives due to services such as Amazon Alexa, Google Voice, Microsoft Cortana, etc. Thus, translating natural language queries and commands ... Read more

AWSome day

Building 216, room 252

סדנא טכנית להיכרות עם שירותי הענן של AWS נקבעה ל- 6 למאי.   הסדנא תתקיים באגף התקשוב (בניין 216) בכיתת ההדרכה 252. הארוע מאורגן ע"יי נועם נודלמן ממרכז המחשבים.   סדר היום של הסדנא: 09:45-10:00 – קבלת פנים 10:00-10:45 – היכרות עם AWS 10:45-12:00 – הסבר לגבי שירותים בסיסיים של AWS (VPC, EC2, EBS, S3, IAM) 12:00-13:00 – תרגול ראשון ... Read more

Law & Big Data

Faculty of Law Building 306, room 200 Faculty of Law Building 306, room 200

Bar-Ilan University The Fund for the Advancement of Humanities and Social Sciences in Israel Workshop on Law & Big Data May 14-15, 2018 Faculty of Law Building 306, room 200 http://dsi.biu.ac.il/wp-content/uploads/2018/02/Law-Big-Data-conf-final.pdf Law & Big Data conf final  

Learning Common Sense: a Grand Challenge for Academic AI Research by Oren Etzioni (IEEE student workshop)

Bar-Ilan University, Faculty of Engineering, Hall 02

** Note: This event is canceled! ** Title of talk:  Learning Common Sense: a Grand Challenge for Academic AI Research   Speaker: Prof. Oren Etzioni,  Allen Institute for Artificial Intelligence   Abstract: In a world where Google, Facebook, and others possess massive proprietary data sets, and unprecedented computational power---how is a graduate student to make a dent in ... Read more

DSI Dinner – May 24 2018

Nanotechnology Triplex Building 206, BIU Campus, Auditorium 50

The Bar-Ilan Data Science institute (DSI) is glad to invite you to its bi-annual dinner event. The event is open to all BIU researchers interested in data science including faculty, postdoctoral fellows and graduate students.   When: May 24th, 17:45 -- 20:30 Where: Nanotechnology Triplex, Building 206, BIU Campus, Auditorium 50   Schedule: 17:45 Gathering ... Read more

DIY Classification & Dear Data Scientist, Label Data or Die (News, Economics and AI meetup)

Thomson-Reuters offices Park Ofer, 94 Derech Em Hamoshavot Oren Building (Building 6), entrance level floor · Petakh Tiqwa Park Ofer, 94 Derech Em Hamoshavot, Petakh Tiqwa, Israel

A News, Economics and AI meetup 18:00-18:30 gathering + pizza 18:30-19:00 "DIY Classification" by Ehud Azikri and Lior Weintraub 19:00-20:15 "Dear Data Scientist, Label Data or Die" by Tal Perry see meetup page for full details: http://meetu.ps/e/Fhrpb/1b3Yc/f

On the Expressive Power of ConvNets and RNNs as a Function of their Architecture by Or Sharir (DSI Learning Club)

Gonda Building (901), Room 101.

May 31st, Thu 10:00 , Or Sharir (webpage). The Hebrew University of Jerusalem (PhD Student) Location: Gonda Building (901), Room 101. On the Expressive Power of ConvNets and RNNs as a Function of their Architecture Abstract: The driving force behind convolutional and recurrent networks — two of the most successful deep learning architectures to date ... Read more

Learning to Act from Observational Data: Machine Learning and Causal Inference in Healthcare by Uri Shalit (Technion) – DSI Learning Club

Gonda Building (901), Room 101.

June 7th, Thu 10:00 , Uri Shalit (webpage). Technion – Israel Institute of Technology (Faculty). Location: Gonda Building (901), Room 101. Learning to Act from Observational Data: Machine Learning and Causal Inference in Healthcare Abstract: The proliferation of data collection in the health, commercial, and economic spheres, brings with it opportunities for extracting new knowledge ... Read more

Detecting and Correcting for Label Shift with Black Box Predictors by Zachary Chase Lipton (DSI Learning Club)

Gonda Building (901), Room 101.

June 11th, Mon. 11:00 , Zachary Chase Lipton (webpage). Carnegie Mellon University (CMU). Location: Gonda Building (901), Room 101. Detecting and Correcting for Label Shift with Black Box Predictors Abstract: Faced with distribution shift between training and test set, we wish to detect and quantify the shift, and to correct our classifiers without test set ... Read more

The Intel AI Lab – Learning Club Talk by Yinyin Liu (TBD)

Yinyin Liu, Head of Data Science, Intel AIPG will be visiting biu on June 13 and will be able to give a talk about the Intel AI Lab. Possible times are 10-11, 11-12 or 12-13. Please let us know what works for you by filling the following doodle: https://doodle.com/poll/ty6rep3r7ybptffa Yinyin Liu, Head of Data Science, Intel ... Read more

A Provably Correct Algorithm for Deep Learning that Actually Works by Eran Malach (DSI Learning Club)

Gonda Building (901), Room 101.

June 14th, Thu 10:00 , Eran Malach (webpage). The Hebrew University of Jerusalem (PhD Student) Location: Gonda Building (901), Room 101. A Provably Correct Algorithm for Deep Learning that Actually Works Abstract: We describe a layer-by-layer algorithm for training deep convolutional networks, where each step involves gradient updates for a two layer network followed by ... Read more

Embedding-based Term Sets & Dynamic Ontologies (News, Economics and AI meetup)

Thomson-Reuters offices Park Ofer, 94 Derech Em Hamoshavot Oren Building (Building 6), entrance level floor · Petakh Tiqwa Park Ofer, 94 Derech Em Hamoshavot, Petakh Tiqwa, Israel

A News, Economics and AI meetup 18:00-18:15 gathering + pizza 18:15-19:00: SetExpander: End-to-end Term Set Expansion based on Multi-Context Term Embeddings * by Moshe Wasserblat * 19:00-20:00: Sluglines -- a Dynamic News Ontology * by Shai Hertz * see meetup page for full details: https://www.meetup.com/News-Economics-and-AI/events/252556709/

AI Satellite Resolution

building 505, room 201

שיפור רזולוציה של טמפרטורת הקרקע מלוויין בעזרת כלים ואלגוריתמים מתחום למידת מכונה http://dsi.biu.ac.il/wp-content/uploads/2018/08/ai-satellite_resolution.pdf ai-satellite_resolution

Data Science Environmental Applications – Government and Academia workshop

Nanotechnology Triplex Building 206, BIU Campus, Auditorium 50

כנס יישומים סביבתיים של מדעי הנתונים 23.10.18 (ארוע עבר) :תכנית הכנס 1 2 3 ניסיון dsi_gov_env_event_program מושב פתיחה ד"ר חיים כץ. אגף איכות מים, רשות המים פרופ' עידו דגן ראש המכון למדעי הנתונים, אוניברסיטת בר-אילן מבוא למדעי הנתונים – הפקת תובנות ושיפור תהליכי עבודה בהתבסס על מאגרי נתונים ממשלתיים ד"ר אורן גליקמן מנהל המכון למדעי הנתונים, ... Read more

News, Economics and AI meetup — Latest Research by the Bar-Ilan NLP Lab. (slides available)

Gonda Building (901), Room 101.

Details This meeting will feature the BIU NLP Lab. Lab leaders Ido Dagan and Yoav Goldberg will tell us about current developments in their work. Some more bits of recent research will be introduced by Lab's senior grad students. Agenda: 18:00-18:20: gathering + pizzas 18:20-18:50: Prof. Ido Dagan: Extracting and Exploring Open Textual Knowledge (slides) 18:50-19:00: ... Read more

כנס יישום מדיניות בעידן הביג דאטה

הכנסת, ירושלים

Conf Program Video of Lecture by Prof. Ido Dagan & Prof. Oren Perez ("עידו דגן ואורן פרז 'פיקוח, רגולציה ויישום מדיניות בעידן הביג דאטה: נקודת מבט רב-תחומית'') Lecture by Dr. Ariel Rosenfeld ("בינה מלאכותית מבוססת נתונים למען מלחמה בתאונות הדרכים "ד"ר אריאל רוזנפלד, המחלקה לניהול, אוניברסיטת בר-אילן)

כשתורת הגרפים פגשה משוואות דיפרנציאליות הרצאה ראשונה בסדרה מה עושים עם זה

חדר הסמינריונים מספר 201, בניין 216

ד"ר ברוך ברזל כמה אנשים דרושים כדי להחליף נורה? התשובה הרצינית אומרת שדרושים עשרות אלפים. החל מהמוכר בחנות מוצרי החשמל, דרך נהגת המשאית שהובילה את המנורות, יצרני הזכוכית, חרשי המתכת, כורי הנחושת... אם כן, החלפת מנורה, הזמנת כוס בירה, גלישה באינטרנט - כמעט כל פעולה שאנו עושים - היא תוצאה של שיתוף פעולה של המוני ... Read more

DSI Learning Club – Ohad Shamir, Weizmann Institute of Science (Faculty)

Gonda Building (901), Room 101.

Nov. 11th 2018, Sun. 12:00 , Ohad Shamir (webpage). Weizmann Institute of Science. Location: Gonda Building (901), Room 101. Optimization Landscape of Neural Networks: Where Do the Local Minima Hide? Abstract: Training neural networks is a highly non-convex optimization problem, which is often successfully solved in practice, but the reasons for this are poorly understood. ... Read more

Tamir Hazan, Technion . “Direct Optimization through argmax for Discrete Variational Auto-Encoder” (DSI Learning Club)

Gonda Building (901), Room 101.

Nov. 25th 2018, Sun. 12:00 , Tamir Hazan (webpage). Technion - Israel Institute of Technology. Location: Gonda Building (901), Room 101. Direct Optimization through argmax for Discrete Variational Auto-Encoder Abstract: Reparameterization of variational auto-encoders is an ehttps://sites.google.com/view/biu-learning-clubffective method for reducing the variance of their gradient estimates. However, when the latent variables are discrete, a reparameterization ... Read more

S.O.U.N.D. Workshop 2018 on Automatic Methods for Analyzing and Predicting Social Structure from Diverse Auditory Data Sets (Day I)

The Gonda Multidisciplinary Brain Research Center (building 901), Bar-Ilan University

SOUND program 09:00 – 09:30 Opening remarks: ■ Miriam Faust, Rector, Bar-Ilan University, Israel ■ Merav Galili, Vice President for Development, Bar-Ilan University, Israel 09:30 – 11:00 Session 1: Measuring social interaction in speech (Moderator: Sharon Gannot) ■ Shrikanth (Shri) Narayanan, University of Southern California, USA, Enabling Behavioral Machine Intelligence from Speech, Language and beyond ... Read more

S.O.U.N.D. Workshop 2018 on Automatic Methods for Analyzing and Predicting Social Structure from Diverse Auditory Data Sets (Day II)

The Weisfeld Hall, Feldman building (301), Bar-Ilan University

SOUND program 09:00 – 09:30 Gathering (Coffee) 09:30 – 10:30 Session 4: Applying speech analysis methods to study human social interaction (Moderator: Ilanit Gordon) ■ Michael J Tanana, University of Utah, USA, Learning how to be a better listener. From a Bot. ■ Brian Baucom, University of Utah , USA, Vocally encoded emotional arousal in ... Read more

Deep Entities and Convolutional Sentiments (News, Economics and AI meetup)

Thomson-Reuters offices Park Ofer, 94 Derech Em Hamoshavot Oren Building, entrance level floor · Petakh Tiqwa

#1 Entity extraction by deep learning - from research to production * by Hila Zarosim and Noam Rotem * The Non-English Languages Team at TMS (Refinitiv’s Text Metadata Services) has recently released a deep-learning-based component for tagging people names in French news documents. The model, Tensorflow-based, was trained by Python code, while the final destination ... Read more

Relational Private Law and Network Theory

Building 504 (Economic Studies), Conferences Room, Ground Floor

Relational Private Law and Network Theory     Conveners: Lisa Bernstein, Oren Perez & Benjamin Shmueli Wednesday, January 2, 2019, Building 504 (Economic Studies), Conferences Room, Ground Floor              14:00 Session II: Private Governance and Network Theory           Chair: Prof. Arie Reich, Bar-Ilan University Prof. Oren Perez, Bar-Ilan University, Global Networked Authority Prof. Lisa Bernstein, University of Chicago, Contract Governance in Small World ... Read more

Data Science for Legislation Studies (Methodological Workshop) talk by Oren Glickman

The Benin Faculty of Law building 306, Hall 200, 2nd floor

Bar-Ilan University Faculty of Law, The Israeli Association of Legislation and The Israel Science Foundation International Workshop Rearranging the Arrangements Law: Comparative, Multidisciplinary, Empirical and Normative Perspectives on Omnibus Legislation   (Slides)

יום חשיפה למדע הנתונים לחברי סגל בפקולטה למדעי הרוח

מטרות האירוע בשנים האחרונות יותר ויותר מאגרי נתונים רלוונטיים למחקר במדעי הרוח עוברים דיגיטציה והופכים להיות נגישים למחקר כמותי בקנה מידה גדול. במקביל התפתחו שיטות מחקר חישוביות לניתוח מאגרים דיגיטליים. מטרת האירוע היא לחשוף את חברי הסגל בתחומי מדעי הרוח לשיטות מחקר עדכניות המבוססות על ניתוח נתונים ממוחשב. מטרה נוספת היא לחשוף את חברי הסגל ... Read more

NEW WAY OF THINKING IN DATA SCIENCE: The Symbolic Data Analysis Paradigm for Big and Complex Data.

Building 206 – Nanotechnology Complex; Room C-50

Registration: MaorT@most.gov.il (Name, Institution, department, position email and mobile number requested). ----- In all domains of human activity, we are more and more faced with the problem of understanding and extracting knowledge from standard, big and complex data, often multi-sources (with mixture of numerical, textual, image, social networks data).   Data Science, considered as a science ... Read more

Hacking Deep Learning 2

Auditorium C50, Nanotechnology Building (bldg. 206), Bar-Ilan University

Hacking_Deep_Learning_2 Speakers Battista Biggio, University of Cagliari Tamir Hazan, The Technion Morten Dahl, Dropout Labs Adi Shamir, Weizmann Institute of Science Adrià Gascón, The Alan Turing Institute Registration Registration fee is 150 ILS for the entire day and includes lunch and refreshments. For any question/request regarding registration, please contact us at: cyber.center@biu.ac.il Please register by ... Read more

Bar-Ilan Workshop on Technological Tools for Manuscript Research

Bar-Ilan University, Building 404, computer lab, Room no. 201 at the 2nd floor.

We are excited to invite researchers, students, practitioners, librarians, and all interested in Digital Humanities to the International Conference on Technological Tools for Manuscript Research that will take place in Bar-Ilan University on 10-13/02/2019. Free registration is required - refreshments and lunch are included for registered participants, places are limited! To register: registration To the program: https://is.biu.ac.il/digital-humanities-conference19 ... Read more

New Capabilities in Unsupervised Image to Image Translation by Sagie Benaim, TAU (DSI Learning Club talk)

Gonda Building (901), Room 101.

Feb. 24th 2019, Sun. 12:00 , Sagie Benaim (webpage). Tel-Aviv University (PhD Student). Location: Gonda Building (901), Room 101. New Capabilities in Unsupervised Image to Image Translation Abstract: In Unsupervised Image to Image Translation, we are given an unmatched set of images from domain A and domain B, and our task is to generate, given ... Read more

Fundamentals of Deep Learning for Natural Language Processing – NVIDIA DLI full day workshop

building 604, room 202

The NVIDIA Deep Learning Institute (DLI) and The Data Science Institute at Bar-Ilan University invite you to attend a hands-on deep learning workshop on 25-02-2019 from 09:00-17:00 at room 202 Building 604, exclusively for verifiable academic students, staff, and researchers. NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging ... Read more

Big Data and the Right to Political Participation by Dr. Michal Saliternik

חדר סגל, בניין 306

הרצאה בנושא  Big Data and the Right to Political Participation שנכתב ע"י ד"ר מיכל סליטרניק, סמינר המחלקתי של הפקולטה למשפטים: יום ג' 12.3.19 בין השעות 14:00-15:30 בחדר סגל, בניין 306.

Close-set Companies and Corpus-wide Claims (News, Economics and AI meetup)

Thomson-Reuters offices - Park Ofer, 94 Derech Em Hamoshavot, Oren Building, entrance level floor - Petakh Tiqwa, il

Details #1 Close Set Extraction: Discovering Companies We Know * by Rani Shlivinski * Slides: Closed Set Extracyion for Meetup - March 2019 #2 Project Debater and Corpus-wide Claim Detection * by Shai Gretz * Project Debater is the first AI system developed to compete in a full-live debate with a human debater. The project, ... Read more

Information Theory of Deep Learning – The computational benefits of the hidden layers by Naftali Tishby

Building 216 room 201

14/03/2019 - 12:00 Information Theory of Deep Learning - The computational benefits of the hidden layers Naftali Tishby Speaker: Naftali Tishby Date : 14/03/2019 - 12:00 Title : Information Theory of Deep Learning - The computational benefits of the hidden layers Abstract: The surprising success of machine learning with deep neural networks poses two fundamental challenges. One is understanding why ... Read more

Generalization Bounds for Unsupervised Image to Image translations with WGANs. by Tomer Galanti (tau)

Gonda Building (901), Room 101.

Mar. 17th 2019, Sun. 12:00 , Tomer Galanti (webpage). Tel-Aviv University (PhD Student). Location: Gonda Building (901), Room 101. Generalization Bounds for Unsupervised Image to Image translations with WGANs. Abstract: The recent empirical success of cross-domain mapping algorithms, between two domains that share common characteristics, is not well-supported by theoretical justifications. This lacuna is especially ... Read more

Dan Jurafsky: Extracting Social Meaning from Language by Computer (Guest talk)

Build. 905, room 62

TITLE:Extracting Social Meaning from Language by ComputerABSTRACT:I describe research from our lab on computationally extracting social meaning from language, meaning that takes into account social relationships between people. I begin with our work on police body-worn cameras, in which we apply speech and natural language processing techniques to camera footage of interactions between police and ... Read more

DSI Dinner – March 28 2019

Engineering (Kofkin) building Building 1102, Auditorium 2

The Bar-Ilan Data Science institute (DSI) is glad to invite you to its bi-annual dinner event. The event is open to all BIU researchers interested in data science including faculty, postdoctoral fellows and graduate students.   When: March 28, 17:00 -- 20:00 Where: Engineering (Kofkin) building Building 1102, Auditorium 2 Schedule: 17:00: Gathering 17:15: DSI ... Read more

A Universally Consistent 1-Nearest-Neighbor Algorithm by Sivan Sabato

Nano Building (206), Room B991

Mar. 31st 2019, Sun. 12:00 , Sivan Sabato (webpage). Ben-Gurion University.   Location: Nano Building (206), Room B991. A Universally Consistent 1-Nearest-Neighbor Algorithm   Abstract: We show a 1-Nearest-Neighbor algorithm that is universally strongly-Bayes-consistent in all metric spaces where such a learner exists. This is the first learning algorithm known to enjoy this property. Joint ... Read more

Unsupervised Learning for Translation across Languages and Images, CS colloquium talk by Yedid Hoshen (Facebook)

Building 216, Room 201

Unsupervised Learning for Translation across Languages and Images 04/04/2019 - 12:00 Speaker: Yedid Hoshen Seminar: colloquium מיקום: Building 216, Room 201 Abstract: This talk will describe my past and ongoing work on translating images and words between very different datasets without supervision. Although Humans often do not require supervision to make connections between very different ... Read more