Nimrod Berman

According to our database, Nimrod Berman authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity.

Erez Yosef, Oron Anschel, Shunit Haviv Hakimi, Asaf Gendler, Adam Botach, Nimrod Berman, Igor Kviatkovsky

CoRR, April, 2026

Pseudo-Invertible Neural Networks.

Yamit Ehrlich, Nimrod Berman, Assaf Shocher

CoRR, February, 2026

2025

Scene-VLM: Multimodal Video Scene Segmentation via Vision-Language Models.

Nimrod Berman, Adam Botach, Emanuel Ben Baruch, Shunit Haviv Hakimi, Asaf Gendler, Ilan Naiman, Erez Yosef, Igor Kviatkovsky

CoRR, December, 2025

FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video.

Rotem Ezra, Hedi Zisling, Nimrod Berman, Ilan Naiman, Alexey Gorkor, Liran Nochumsohn, Eliya Nachmani, Omri Azencot

CoRR, November, 2025

Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge.

Nimrod Berman, Omkar Joglekar, Eitan Kosman, Dotan Di Castro, Omri Azencot

CoRR, October, 2025

Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations.

Tal Barami, Nimrod Berman, Ilan Naiman, Amos H. Hason, Rotem Ezra, Omri Azencot

CoRR, October, 2025

Who Said Neural Networks Aren't Linear?

Nimrod Berman, Assaf Hallak, Assaf Shocher

CoRR, October, 2025

A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking.

Gal Fadlon, Idan Arbiv, Nimrod Berman, Omri Azencot

CoRR, October, 2025

DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities.

Hedi Zisling, Ilan Naiman, Nimrod Berman, Supasorn Suwajanakorn, Omri Azencot

CoRR, October, 2025

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach.

Tal Gonen, Itai Pemper, Ilan Naiman, Nimrod Berman, Omri Azencot

CoRR, May, 2025

One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling.

Nimrod Berman, Ilan Naiman, Moshe Eliasof, Hedi Zisling, Omri Azencot

CoRR, May, 2025

Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes.

Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot

Trans. Mach. Learn. Res., 2025

2024

Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes.

Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot

CoRR, 2024

Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series.

Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sequential Disentanglement by Extracting Static Information From A Single Sequence Element.

Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation.

Ilan Naiman, Nimrod Berman, Omri Azencot

Proceedings of the International Conference on Machine Learning, 2023

Multifactor Sequential Disentanglement via Structured Koopman Autoencoders.

Nimrod Berman, Ilan Naiman, Omri Azencot

Proceedings of the Eleventh International Conference on Learning Representations, 2023