אפשר לעיין בפוסטרים שיוצגו בכנס, דרך הקישורים הבאים:
- Amit Geva and Amichai Painsky – Imposing Monotonicity Improves Large-Alphabet Distribution Estimation
- Amit Shalvi Kali, Tal Bamberger, Omri Peleg, Borenstein Elhanan – Optimal Transport for Batch Effect Correction in Microbiome Data
- Bitya Neuhof and Yuval Benjamini – Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation
- Ella Hadar, Ilana Nisky, Tirza Routtenberg – Simulation-Based Detection for Composite Hypothesis Testing with Application to Time-Delay Signals
- Eyar Azar, Michael Feldman, Boaz Nadler – Robustness of OLS to Sample Removals
- Hadar Sharvit – When Bias Learns from Itself: How Feedback Loops Shape Diagnostic Bias Over Time
- Ibrahim Bashir and Yuval Benjamini – When Geometry Fails: Influence-Based Modeling of Class-Level Generalization in Deep Networks
- Josh Silverbeck, Rotem Gershon, Alina VodonosZilberg, Alona Buskila – Comparing IPCW With Traditional Competing Risk Methods in Estimating the Association Between HDL-C and AAA Repair/Rupture
- Lee Carlin and Yuval Benjamini – A Calibration-Aware Framework for Geometric Support Evaluation of Synthetic Tabular Data
- Lilah Shema-Zlatokrilov, Dan Galai, Zvi Wiener, Abigail Hurwitz, Sven Nolte – Spotting "Washing" : Can Financial Experts Detect 'Say-Do Gap' in Banking Reports
- Luba Orlovsky and Ruslan Shichman – Automated Machine Learning for Explainable Climate Risk Modeling: The Hybrid AGLM Framework
- קרן-אור פיש, דוד הופמן, דנה יאור, אור גור – מערכת מגן: כלי תכנוני לקבלת החלטות בשגרה ובחירום
- Or Kositsky, Noa Zychlinski, Yair Goldberg – If Capacity Increases, Why do MRI Queues Persist? MRI Planning with Fluid Models and Reinforcement Learning
- Ori Meidler, Shaul Tolkovsky, Or Zuk – Inverse Design for Conditional Distribution Matching
- Orit Davidovich and Zohar Ringel – Algorithmic Task Capture, Computational Complexity, and Inductive Bias of Infinite Transformers
- Alexander Nadel and Ron Wettenstein – From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm
- Sahar Ziv and Bella Vakulenko-Lagun – Ordinal Outcome Regression with Censored Covariates in the Presence of a Cured Fraction
- Shira Yoffe, Ziv Ben-Zion, Guy Gurevitch, Talma Hendler, Malka Gorfine, Ariel Jaffe – SpARCD: A Spectral Graph Framework for Revealing Differential Functional Connectivity in fMRI Data
- Sohini Bhattacharya, Yaron Michael, Nadezhda Sokolova, Noam David, Maya Levhara, Anat Schonblume, Liat Arnone, Liat Salzer Sheelo, Michal Eisner, Eran Hadar, Israel Meizner, Arnon Wiznitzer, Aron Weller, Lee Korene, Keren Agay-Shay – Stress & the city: Satellite and Ground-level Residential greenness and lower hair cortisol, during pregnancy
- Yaron Otmazgin and Or Zuk – SARANGA: Structured ArXiv Representation, Automatic Network Generation and Analysis
- Yunlong Feng, Ran Abuhasira, Bella Vakulenko-Lagun – Data-Adaptive Estimation in Time-to-Event Data with Competing Risks: A Super Learner Analysis of Alzheimer’s Disease Data from Clalit EHR
- Yuval Itzhaki, Danny Hermelin, Dvir Shabtay – Scheduling Intervals
