Synth-FAR: A Synthetic Frequency-Autoregressive Driven Framework for Time Series Forecasting.

Omri Azencot

Liran Nochumsohn Michal Moshkovitz Orly Avner Dotan Di Castro Omri Azencot Synth-FAR: A Synthetic Frequency-Autoregressive Driven Framework for Time Series Forecasting. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=NuIpv0WySf db/journals/tmlr/tmlr2026.html#NochumsohnMACA26 streams/journals/tmlr

Liran Nochumsohn Raz Marshanski Hedi Zisling Omri Azencot Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=av8niDGYMk db/journals/tmlr/tmlr2026.html#NochumsohnMZA26 streams/journals/tmlr

Israel Zexer Omri Azencot XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=TEfyR4t0Tw db/journals/tmlr/tmlr2026.html#ZexerA26 streams/journals/tmlr

Israel Zexer Omri Azencot XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis. 2026 May abs/2605.18534 CoRR https://doi.org/10.48550/arXiv.2605.18534 db/journals/corr/corr2605.html#abs-2605-18534 streams/journals/corr

Nimrod Berman Eitan Kosman Dotan Di Castro Omri Azencot Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=pxdSm7PW5Q db/journals/tmlr/tmlr2025.html#BermanKCA25

Liran Nochumsohn Omri Azencot Data Augmentation Policy Search for Long-Term Forecasting. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=Wnd0XY0twh db/journals/tmlr/tmlr2025.html#NochumsohnA25

Liran Nochumsohn Hedi Zisling Omri Azencot A Multi-Task Learning Approach to Linear Multivariate Forecasting. 2638-2646 2025 AISTATS https://proceedings.mlr.press/v258/nochumsohn25a.html conf/aistats/2025 db/conf/aistats/aistats2025.html#NochumsohnZA25 streams/conf/aistats Ilya Kaufman Omri Azencot Curvature Enhanced Data Augmentation for Regression. 2025 ICML https://proceedings.mlr.press/v267/kaufman25a.html https://openreview.net/forum?id=l1sx5KiM7Z conf/icml/2025 db/conf/icml/icml2025.html#KaufmanA25 Tal Barami Nimrod Berman Ilan Naiman Amos H. Hason Rotem Ezra Omri Azencot Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/b8243eb624484691291c6f3e8c7bc634-Abstract-Datasets_and_Benchmarks_Track.html conf/nips/2025 db/conf/nips/neurips2025.html#BaramiBNHEA25 Nimrod Berman Omkar Joglekar Eitan Kosman Dotan Di Castro Omri Azencot Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/d5470483dd38f71f7bd9e68ce1b94145-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#BermanJKCA25 Nimrod Berman Ilan Naiman Moshe Eliasof Hedi Zisling Omri Azencot One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/15d15045f93b44d933a260b249608d43-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#BermanNEZA25 Gal Fadlon Idan Arbiv Nimrod Berman Omri Azencot A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/fb21dae9e8710a272c0a0ca848f71553-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#FadlonABA25 Tal Gonen Itai Pemper Ilan Naiman Nimrod Berman Omri Azencot Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/fc1767dae81344d5b9290abfdceed417-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#GonenPNBA25

Liran Nochumsohn Hedi Zisling Omri Azencot A Multi-Task Learning Approach to Linear Multivariate Forecasting. 2025 February abs/2502.03571 CoRR https://doi.org/10.48550/arXiv.2502.03571 db/journals/corr/corr2502.html#abs-2502-03571 streams/journals/corr

Nimrod Berman Ilan Naiman Moshe Eliasof Hedi Zisling Omri Azencot One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling. 2025 May abs/2505.13358 CoRR https://doi.org/10.48550/arXiv.2505.13358 db/journals/corr/corr2505.html#abs-2505-13358 streams/journals/corr

N. Benjamin Erichson Vinicius Mikuni Dongwei Lyu Yang Gao Omri Azencot Soon Hoe Lim Michael W. Mahoney FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems. 2025 May abs/2505.17351 CoRR https://doi.org/10.48550/arXiv.2505.17351 db/journals/corr/corr2505.html#abs-2505-17351 streams/journals/corr

Tal Gonen Itai Pemper Ilan Naiman Nimrod Berman Omri Azencot Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach. 2025 May abs/2505.20446 CoRR https://doi.org/10.48550/arXiv.2505.20446 db/journals/corr/corr2505.html#abs-2505-20446 streams/journals/corr

Ilya Kaufman Omri Azencot Curvature Enhanced Data Augmentation for Regression. 2025 June abs/2506.06853 CoRR https://doi.org/10.48550/arXiv.2506.06853 db/journals/corr/corr2506.html#abs-2506-06853 streams/journals/corr

Tom Or Omri Azencot Unraveling Hidden Representations: A Multi-Modal Layer Analysis for Better Synthetic Content Forensics. 2025 August abs/2508.00784 CoRR https://doi.org/10.48550/arXiv.2508.00784 db/journals/corr/corr2508.html#abs-2508-00784 streams/journals/corr

Liran Nochumsohn Raz Marshanski Hedi Zisling Omri Azencot Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting. 2025 September abs/2509.15105 CoRR https://doi.org/10.48550/arXiv.2509.15105 db/journals/corr/corr2509.html#abs-2509-15105 streams/journals/corr

Hedi Zisling Ilan Naiman Nimrod Berman Supasorn Suwajanakorn Omri Azencot DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities. 2025 October abs/2510.05717 CoRR https://doi.org/10.48550/arXiv.2510.05717 db/journals/corr/corr2510.html#abs-2510-05717 streams/journals/corr

Gal Fadlon Idan Arbiv Nimrod Berman Omri Azencot A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking. 2025 October abs/2510.06699 CoRR https://doi.org/10.48550/arXiv.2510.06699 db/journals/corr/corr2510.html#abs-2510-06699 streams/journals/corr

Tal Barami Nimrod Berman Ilan Naiman Amos H. Hason Rotem Ezra Omri Azencot Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations. 2025 October abs/2510.17313 CoRR https://doi.org/10.48550/arXiv.2510.17313 db/journals/corr/corr2510.html#abs-2510-17313 streams/journals/corr

Nimrod Berman Omkar Joglekar Eitan Kosman Dotan Di Castro Omri Azencot Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge. 2025 October abs/2510.20819 CoRR https://doi.org/10.48550/arXiv.2510.20819 db/journals/corr/corr2510.html#abs-2510-20819 streams/journals/corr

Rotem Ezra Hedi Zisling Nimrod Berman Ilan Naiman Alexey Gorkor Liran Nochumsohn Eliya Nachmani Omri Azencot FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video. 2025 November abs/2511.00103 CoRR https://doi.org/10.48550/arXiv.2511.00103 db/journals/corr/corr2511.html#abs-2511-00103 streams/journals/corr

Yizhak Yisrael Elboher Avraham Raviv Amihay Elboher Zhouxing Shi Omri Azencot Hillel Kugler Guy Katz Bridging Efficiency and Safety: Formal Verification of Neural Networks with Early Exits. 2025 December abs/2512.20755 CoRR https://doi.org/10.48550/arXiv.2512.20755 db/journals/corr/corr2512.html#abs-2512-20755 streams/journals/corr

Ilya Kaufman Omri Azencot Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=zRZe93OZho db/journals/tmlr/tmlr2024.html#KaufmanA24

Ilan Naiman N. Benjamin Erichson Pu Ren Michael W. Mahoney Omri Azencot Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. 2024 ICLR https://openreview.net/forum?id=eY7sLb0dVF conf/iclr/2024 db/conf/iclr/iclr2024.html#NaimanERMA24 Nimrod Berman Ilan Naiman Idan Arbiv Gal Fadlon Omri Azencot Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. 2024 ICML https://proceedings.mlr.press/v235/berman24a.html https://openreview.net/forum?id=AocOA4h3bu conf/icml/2024 db/conf/icml/icml2024.html#BermanNAFA24 3539-3564 Ilya Kaufman Omri Azencot First-Order Manifold Data Augmentation for Regression Learning. 2024 ICML https://proceedings.mlr.press/v235/kaufman24a.html https://openreview.net/forum?id=geajNKab7g conf/icml/2024 db/conf/icml/icml2024.html#KaufmanA24 23324-23342 Ilan Naiman Nimrod Berman Itai Pemper Idan Arbiv Gal Fadlon Omri Azencot Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/dc6748383752138af7f00b3185a0a404-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#NaimanBPAFA24

Nimrod Berman Eitan Kosman Dotan Di Castro Omri Azencot Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes. 2024 abs/2402.04046 CoRR https://doi.org/10.48550/arXiv.2402.04046 db/journals/corr/corr2402.html#abs-2402-04046

Liran Nochumsohn Omri Azencot Data Augmentation Policy Search for Long-Term Forecasting. 2024 abs/2405.00319 CoRR https://doi.org/10.48550/arXiv.2405.00319 db/journals/corr/corr2405.html#abs-2405-00319

Ilya Kaufman Omri Azencot First-Order Manifold Data Augmentation for Regression Learning. 2024 abs/2406.10914 CoRR https://doi.org/10.48550/arXiv.2406.10914 db/journals/corr/corr2406.html#abs-2406-10914 streams/journals/corr

Nimrod Berman Ilan Naiman Idan Arbiv Gal Fadlon Omri Azencot Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. 2024 abs/2406.18131 CoRR https://doi.org/10.48550/arXiv.2406.18131 db/journals/corr/corr2406.html#abs-2406-18131 streams/journals/corr

Pu Ren Rie Nakata Maxime Lacour Ilan Naiman Nori Nakata Jialin Song Zhengfa Bi Osman Asif Malik Dmitriy Morozov Omri Azencot N. Benjamin Erichson Michael W. Mahoney Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. 2024 abs/2407.15089 CoRR https://doi.org/10.48550/arXiv.2407.15089 db/journals/corr/corr2407.html#abs-2407-15089 streams/journals/corr

Ilya Kaufman Omri Azencot Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning. 2024 abs/2410.13792 CoRR https://doi.org/10.48550/arXiv.2410.13792 db/journals/corr/corr2410.html#abs-2410-13792 streams/journals/corr

Ilan Naiman Nimrod Berman Itai Pemper Idan Arbiv Gal Fadlon Omri Azencot Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series. 2024 abs/2410.19538 CoRR https://doi.org/10.48550/arXiv.2410.19538 db/journals/corr/corr2410.html#abs-2410-19538 streams/journals/corr

Liran Nochumsohn Michal Moshkovitz Orly Avner Dotan Di Castro Omri Azencot Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting. 2024 abs/2411.15743 CoRR https://doi.org/10.48550/arXiv.2411.15743 db/journals/corr/corr2411.html#abs-2411-15743 streams/journals/corr

Ilan Naiman Omri Azencot An Operator Theoretic Approach for Analyzing Sequence Neural Networks. 9268-9276 2023 AAAI https://doi.org/10.1609/aaai.v37i8.26111 conf/aaai/2023 db/conf/aaai/aaai2023.html#NaimanA23 Nimrod Berman Ilan Naiman Omri Azencot Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. 2023 ICLR https://openreview.net/forum?id=6fuPIe9tbnC conf/iclr/2023 db/conf/iclr/iclr2023.html#BermanNA23 Ilya Kaufman Omri Azencot Data Representations' Study of Latent Image Manifolds. 15928-15945 2023 ICML https://proceedings.mlr.press/v202/kaufman23a.html conf/icml/2023 db/conf/icml/icml2023.html#KaufmanA23 Ilan Naiman Nimrod Berman Omri Azencot Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. 25694-25717 2023 ICML https://proceedings.mlr.press/v202/naiman23a.html conf/icml/2023 db/conf/icml/icml2023.html#NaimanBA23 Florine Hartwig Josua Sassen Omri Azencot Martin Rumpf Mirela Ben-Chen An Elastic Basis for Spectral Shape Correspondence. 58:1-58:11 2023 SIGGRAPH (Conference Paper Track) https://doi.org/10.1145/3588432.3591518 conf/siggraph/2023 db/conf/siggraph/siggraph2023.html#HartwigSARB23

Nimrod Berman Ilan Naiman Omri Azencot Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. 2023 abs/2303.17264 CoRR https://doi.org/10.48550/arXiv.2303.17264 db/journals/corr/corr2303.html#abs-2303-17264

Ilan Naiman Nimrod Berman Omri Azencot Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. 2023 abs/2305.15924 CoRR https://doi.org/10.48550/arXiv.2305.15924 db/journals/corr/corr2305.html#abs-2305-15924

Ilya Kaufman Omri Azencot Data Representations' Study of Latent Image Manifolds. 2023 abs/2305.19730 CoRR https://doi.org/10.48550/arXiv.2305.19730 db/journals/corr/corr2305.html#abs-2305-19730

Ilan Naiman N. Benjamin Erichson Pu Ren Michael W. Mahoney Omri Azencot Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. 2023 abs/2310.02619 CoRR https://doi.org/10.48550/arXiv.2310.02619 db/journals/corr/corr2310.html#abs-2310-02619

Jack W. Miller Charles O'Neill Navid C. Constantinou Omri Azencot Eigenvalue initialisation and regularisation for Koopman autoencoders. 2022 abs/2212.12086 CoRR https://doi.org/10.48550/arXiv.2212.12086 db/journals/corr/corr2212.html#abs-2212-12086

Omri Azencot Rongjie Lai A Data-Driven Approach to Functional Map Construction and Bases Pursuit. 97-110 2021 40 Comput. Graph. Forum 5 https://doi.org/10.1111/cgf.14360 db/journals/cgf/cgf40.html#AzencotL21

Ido Cohen 0001 Omri Azencot Pavel Lifshits Guy Gilboa Modes of Homogeneous Gradient Flows. 913-945 2021 14 SIAM J. Imaging Sci. 3 https://doi.org/10.1137/20M1388577 db/journals/siamis/siamis14.html#CohenALG21

N. Benjamin Erichson Omri Azencot Alejandro F. Queiruga Liam Hodgkinson Michael W. Mahoney Lipschitz Recurrent Neural Networks. 2021 ICLR https://openreview.net/forum?id=-N7PBXqOUJZ conf/iclr/2021 db/conf/iclr/iclr2021.html#ErichsonAQHM21

Ilan Naiman Omri Azencot A Koopman Approach to Understanding Sequence Neural Models. 2021 abs/2102.07824 CoRR https://arxiv.org/abs/2102.07824 db/journals/corr/corr2102.html#abs-2102-07824

Omri Azencot N. Benjamin Erichson Mirela Ben-Chen Michael W. Mahoney A Differential Geometry Perspective on Orthogonal Recurrent Models. 2021 abs/2102.09589 CoRR https://arxiv.org/abs/2102.09589 db/journals/corr/corr2102.html#abs-2102-09589

Omri Azencot N. Benjamin Erichson Vanessa Lin Michael W. Mahoney Forecasting Sequential Data Using Consistent Koopman Autoencoders. 475-485 2020 ICML http://proceedings.mlr.press/v119/azencot20a.html conf/icml/2020 db/conf/icml/icml2020.html#AzencotELM20

Omri Azencot N. Benjamin Erichson Vanessa Lin Michael W. Mahoney Forecasting Sequential Data using Consistent Koopman Autoencoders. 2020 abs/2003.02236 CoRR https://arxiv.org/abs/2003.02236 db/journals/corr/corr2003.html#abs-2003-02236

N. Benjamin Erichson Omri Azencot Alejandro F. Queiruga Michael W. Mahoney Lipschitz Recurrent Neural Networks. 2020 abs/2006.12070 CoRR https://arxiv.org/abs/2006.12070 db/journals/corr/corr2006.html#abs-2006-12070

Ido Cohen 0001 Omri Azencot Pavel Lifshitz Guy Gilboa Mode Decomposition for Homogeneous Symmetric Operators. 2020 abs/2007.01534 CoRR https://arxiv.org/abs/2007.01534 db/journals/corr/corr2007.html#abs-2007-01534

Danielle Ezuz Behrend Heeren Omri Azencot Martin Rumpf Mirela Ben-Chen Elastic Correspondence between Triangle Meshes. 121-134 2019 38 Comput. Graph. Forum 2 https://doi.org/10.1111/cgf.13624 db/journals/cgf/cgf38.html#EzuzHARB19

Omri Azencot Anastasia Dubrovina Leonidas J. Guibas Consistent Shape Matching via Coupled Optimization. 13-25 2019 38 Comput. Graph. Forum 5 https://doi.org/10.1111/cgf.13786 db/journals/cgf/cgf38.html#AzencotDG19

Omri Azencot Wotao Yin Andrea L. Bertozzi Consistent Dynamic Mode Decomposition. 1565-1585 2019 18 SIAM J. Appl. Dyn. Syst. 3 https://doi.org/10.1137/18M1233960 https://www.wikidata.org/entity/Q127312235 db/journals/siamads/siamads18.html#AzencotYB19

Omri Azencot Rongjie Lai Shape Analysis via Functional Map Construction and Bases Pursuit. 2019 abs/1909.13200 CoRR http://arxiv.org/abs/1909.13200 db/journals/corr/corr1909.html#abs-1909-13200

Omri Azencot Orestis Vantzos Mirela Ben-Chen An explicit structure-preserving numerical scheme for EPDiff. 107-119 2018 37 Comput. Graph. Forum 5 https://doi.org/10.1111/cgf.13495 https://www.wikidata.org/entity/Q127535034 db/journals/cgf/cgf37.html#AzencotVB18

Omri Azencot Operator Representations in Geometry Processing. Technion - Israel Institute of Technology, Israel 2017 https://www.cs.technion.ac.il/users/wwwb/cgi-bin/tr-info.cgi/2017/PHD/PHD-2017-15

Omri Azencot Etienne Corman Mirela Ben-Chen Maks Ovsjanikov Consistent functional cross field design for mesh quadrangulation. 92:1-92:13 2017 36 ACM Trans. Graph. 4 https://doi.org/10.1145/3072959.3073696 db/journals/tog/tog36.html#AzencotCBO17

Orestis Vantzos Omri Azencot Max Wardetzky Martin Rumpf Mirela Ben-Chen Functional Thin Films on Surfaces. 1179-1192 2017 23 IEEE Trans. Vis. Comput. Graph. 3 https://doi.org/10.1109/TVCG.2016.2605083 http://doi.ieeecomputersociety.org/10.1109/TVCG.2016.2605083 https://www.wikidata.org/entity/Q50938267 db/journals/tvcg/tvcg23.html#VantzosAWRB17

Omri Azencot Orestis Vantzos Mirela Ben-Chen Advection-Based Function Matching on Surfaces. 55-64 2016 35 Comput. Graph. Forum 5 https://doi.org/10.1111/cgf.12963 db/journals/cgf/cgf35.html#AzencotVB16

Omri Azencot Maks Ovsjanikov Frédéric Chazal Mirela Ben-Chen Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach. 29:1-29:13 2015 34 ACM Trans. Graph. 3 https://doi.org/10.1145/2723158 db/journals/tog/tog34.html#AzencotOCB15

Omri Azencot Orestis Vantzos Max Wardetzky Martin Rumpf Mirela Ben-Chen Functional thin films on surfaces. 137-146 2015 Symposium on Computer Animation https://doi.org/10.1145/2786784.2786793 conf/sca/2015 db/conf/sca/sca2015.html#AzencotVWRB15

Omri Azencot Steffen Weißmann Maks Ovsjanikov Max Wardetzky Mirela Ben-Chen Functional Fluids on Surfaces. 237-246 2014 33 Comput. Graph. Forum 5 https://doi.org/10.1111/cgf.12449 db/journals/cgf/cgf33.html#AzencotWOWB14

Omri Azencot Mirela Ben-Chen Frédéric Chazal Maks Ovsjanikov An Operator Approach to Tangent Vector Field Processing. 73-82 2013 32 Comput. Graph. Forum 5 https://doi.org/10.1111/cgf.12174 https://www.wikidata.org/entity/Q124879331 db/journals/cgf/cgf32.html#AzencotBCO13

Raif M. Rustamov Maks Ovsjanikov Omri Azencot Mirela Ben-Chen Frédéric Chazal Leonidas J. Guibas Map-based exploration of intrinsic shape differences and variability. 72:1-72:12 2013 32 ACM Trans. Graph. 4 https://doi.org/10.1145/2461912.2461959 https://www.wikidata.org/entity/Q125996790 db/journals/tog/tog32.html#RustamovOABCG13

Idan Arbiv Orly Avner Tal Barami Mirela Ben-Chen Nimrod Berman Andrea L. Bertozzi Zhengfa Bi Dotan Di Castro Frédéric Chazal Ido Cohen 0001 Navid C. Constantinou Etienne Corman Anastasia Dubrovina Amihay Elboher Yizhak Yisrael Elboher Moshe Eliasof N. Benjamin Erichson Rotem Ezra Danielle Ezuz Gal Fadlon Yang Gao Guy Gilboa Tal Gonen Alexey Gorkor Leonidas J. Guibas Florine Hartwig Amos H. Hason Behrend Heeren Liam Hodgkinson Omkar Joglekar Guy Katz Ilya Kaufman Eitan Kosman Hillel Kugler Maxime Lacour Rongjie Lai Pavel Lifshits Pavel Lifshitz Soon Hoe Lim Vanessa Lin Dongwei Lyu Michael W. Mahoney Osman Asif Malik Raz Marshanski Vinicius Mikuni Jack W. Miller Dmitriy Morozov Michal Moshkovitz Eliya Nachmani Ilan Naiman Nori Nakata Rie Nakata Liran Nochumsohn Charles O'Neill Tom Or Maks Ovsjanikov Itai Pemper Alejandro F. Queiruga Avraham Raviv Pu Ren Martin Rumpf Raif M. Rustamov Josua Sassen Zhouxing Shi Jialin Song Supasorn Suwajanakorn Orestis Vantzos Max Wardetzky Steffen Weißmann Wotao Yin Israel Zexer Hedi Zisling