Kraehenbuehl, Philipp

13 publications

ICLR 2025 Cut Your Losses in Large-Vocabulary Language Models Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Kraehenbuehl

ICLR 2025 Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Kraehenbuehl, Adam Klivans, Daniel Jesus Diaz

ICLR 2025 Does Spatial Cognition Emerge in Frontier Models? Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Kraehenbuehl, Vladlen Koltun

ICLR 2025 Image and Video Tokenization with Binary Spherical Quantization Yue Zhao, Yuanjun Xiong, Philipp Kraehenbuehl

ICLR 2025 Language-Image Models with 3D Understanding Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Kraehenbuehl, Yan Wang, Marco Pavone

NeurIPS 2025 PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Jain, Miguel Martin, Huiyu Wang, Hanoona Abdul Rasheed, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Seungwhan Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman Khan, Philipp Kraehenbuehl, Piotr Dollar, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer

ICML 2025 Robust Autonomy Emerges from Self-Play Marco Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Kraehenbuehl, Vladlen Koltun

NeurIPSW 2024 Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Kraehenbuehl, Adam Klivans, Daniel Jesus Diaz

CoRL 2024 Promptable Closed-Loop Traffic Simulation Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Kraehenbuehl, Marco Pavone

CoRL 2023 Language Conditioned Traffic Generation Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Kraehenbuehl

NeurIPS 2023 Predicting a Protein's Stability Under a Million Mutations Jeffrey Ouyang-Zhang, Daniel Diaz, Adam Klivans, Philipp Kraehenbuehl

ICLR 2021 Memory Optimization for Deep Networks Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Kraehenbuehl

ICML 2013 Parameter Learning and Convergent Inference for Dense Random Fields Philipp Kraehenbuehl, Vladlen Koltun