Looking to listen at the cocktail party: a speaker-independent audio-visual model for speech separation. - Ariel Ephrat; Inbar Mosseri; Oran Lang; Tali Dekel; Kevin Wilson; Avinatan Hassidim; William T. Freeman; Michael Rubinstein (ACM Trans. Graph., 2018)

Personalizing ASR for Dysarthric and Accented Speech with Limited Data. - Joel Shor; Dotan Emanuel; Oran Lang; Omry Tuval; Michael P. Brenner; Julie Cattiau; Fernando Vieira; Maeve McNally; Taylor Charbonneau; Melissa Nollstadt; Avinatan Hassidim; Yossi Matias (INTERSPEECH, 2019)

SpeedNet: Learning the Speediness in Videos. - Sagie Benaim; Ariel Ephrat; Oran Lang; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Michal Irani; Tali Dekel (CVPR, 2020)

Towards Learning a Universal Non-Semantic Representation of Speech. - Joel Shor; Aren Jansen; Ronnie Maor; Oran Lang; Omry Tuval; Félix de Chaumont Quitry; Marco Tagliasacchi; Ira Shavitt; Dotan Emanuel; Yinnon Haviv (INTERSPEECH, 2020)

Explaining in Style: Training a GAN to explain a classifier in StyleSpace. - Oran Lang; Yossi Gandelsman; Michal Yarom; Yoav Wald; Gal Elidan; Avinatan Hassidim; William T. Freeman; Phillip Isola; Amir Globerson; Michal Irani; Inbar Mosseri (ICCV, 2021)

Self-Distilled StyleGAN: Towards Generation from Internet Photos. - Ron Mokady; Omer Tov; Michal Yarom; Oran Lang; Inbar Mosseri; Tali Dekel; Daniel Cohen-Or; Michal Irani (SIGGRAPH (Conference Paper Track), 2022)

Imagic: Text-Based Real Image Editing with Diffusion Models. - Bahjat Kawar; Shiran Zada; Oran Lang; Omer Tov; Huiwen Chang; Tali Dekel; Inbar Mosseri; Michal Irani (CVPR, 2023)

What You See is What You Read? Improving Text-Image Alignment Evaluation. - Michal Yarom; Yonatan Bitton; Soravit Changpinyo; Roee Aharoni; Jonathan Herzig; Oran Lang; Eran Ofek; Idan Szpektor (NeurIPS, 2023)

Using generative AI to investigate medical imagery models and datasets. - Oran Lang; Doron Yaya-Stupp; Ilana Traynis; Heather Cole-Lewis; Chloe R. Bennett; Courtney Lyles; Charles Lau; Christopher Semturs; Dale R. Webster; Gregory S. Corrado; Avinatan Hassidim; Yossi Matias; et al. (CoRR, 2023)

The Hidden Language of Diffusion Models. - Hila Chefer; Oran Lang; Mor Geva; Volodymyr Polosukhin; Assaf Shocher; Michal Irani; Inbar Mosseri; Lior Wolf (ICLR, 2024)

Multi-turn Reinforcement Learning with Preference Human Feedback. - Lior Shani; Aviv Rosenberg 002; Asaf Cassel; Oran Lang; Daniele Calandriello; Avital Zipori; Hila Noga; Orgad Keller; Bilal Piot; Idan Szpektor; Avinatan Hassidim; Yossi Matias; et al. (NeurIPS, 2024)

Multi-turn Reinforcement Learning from Preference Human Feedback. - Lior Shani; Aviv Rosenberg 002; Asaf B. Cassel; Oran Lang; Daniele Calandriello; Avital Zipori; Hila Noga; Orgad Keller; Bilal Piot; Idan Szpektor; Avinatan Hassidim; Yossi Matias; et al. (CoRR, 2024)

Interdisciplinary Expertise to Advance Equitable Explainable AI. - Chloe R. Bennett; Heather Cole-Lewis; Stephanie Farquhar; Naama Haamel; Boris Babenko; Oran Lang; Mat Fleck; Ilana Traynis; Charles Lau; Ivor Horn; Courtney Lyles (CoRR, 2024)