End-User Robot Programming Using Mixed Reality. - Samir Yitzhak Gadre; Eric Rosen; Gary Chien; Elizabeth Phillips; Stefanie Tellex; George Dimitri Konidaris (ICRA, 2019)

Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery. - Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song (ICCV, 2021)

Continuous Scene Representations for Embodied AI. - Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song; Roozbeh Mottaghi (CVPR, 2022)

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. - Mitchell Wortsman; Gabriel Ilharco; Samir Yitzhak Gadre; Rebecca Roelofs; Raphael Gontijo Lopes; Ari S. Morcos; Hongseok Namkoong; Ali Farhadi; Yair Carmon; Simon Kornblith; Ludwig Schmidt (ICML, 2022)

Patching open-vocabulary models by interpolating weights. - Gabriel Ilharco; Mitchell Wortsman; Samir Yitzhak Gadre; Shuran Song; Hannaneh Hajishirzi; Simon Kornblith; Ali Farhadi; Ludwig Schmidt (NeurIPS, 2022)

CLIP on Wheels: Zero-Shot Object Navigation as Object Localization and Exploration. - Samir Yitzhak Gadre; Mitchell Wortsman; Gabriel Ilharco; Ludwig Schmidt; Shuran Song (CoRR, 2022)

Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery. - Neil Nie; Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song (CoRR, 2022)

CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation. - Samir Yitzhak Gadre; Mitchell Wortsman; Gabriel Ilharco; Ludwig Schmidt; Shuran Song (CVPR, 2023)

Structure from Action: Learning Interactions for 3D Articulated Object Structure Discovery. - Neil Nie; Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song (IROS, 2023)

Objaverse-XL: A Universe of 10M+ 3D Objects. - Matt Deitke; Ruoshi Liu; Matthew Wallingford; Huong Ngo; Oscar Michel; Aditya Kusupati; Alan Fan; Christian Laforte; Vikram Voleti; Samir Yitzhak Gadre; Eli VanderBilt; Aniruddha Kembhavi; et al. (NeurIPS, 2023)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

Improving multimodal datasets with image captioning. - Thao Nguyen; Samir Yitzhak Gadre; Gabriel Ilharco; Sewoong Oh; Ludwig Schmidt (NeurIPS, 2023)

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. - Wanrong Zhu; Jack Hessel; Anas Awadalla; Samir Yitzhak Gadre; Jesse Dodge; Alex Fang; Youngjae Yu; Ludwig Schmidt; William Yang Wang; Yejin Choi 001 (NeurIPS, 2023)

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. - Anas Awadalla; Irena Gao; Josh Gardner 001; Jack Hessel; Yusuf Hanafy; Wanrong Zhu; Kalyani Marathe; Yonatan Bitton; Samir Yitzhak Gadre; Shiori Sagawa; Jenia Jitsev; Simon Kornblith; et al. (CoRR, 2023)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (CoRR, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (ICLR, 2025)

Should VLMs be Pre-trained with Image Data? - Sedrick Keh; Jean Mercat; Samir Yitzhak Gadre; Kushal Arora; Igor Vasiljevic; Benjamin Burchfiel; Shuran Song; Russ Tedrake; Thomas Kollar; Ludwig Schmidt; Achal Dave (ICLR, 2025)