Brian L. Trippe

19 papers A* 8A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Calibrating Generative Models. CoRR Henry D. Smith, Nathaniel L. Diamant, Brian L. Trippe
2025	J	`jnl`	MotifBench: A standardized protein design benchmark for motif-scaffolding problems. CoRR Zhuoqi Zheng, Bo Zhang, Kieran Didi, Kevin K. Yang, Jason Yim, Joseph L. Watson, Hai-Feng Chen, Brian L. Trippe
2025	A*	`conf`	Predicting mutational effects on protein binding from folding energy. ICML Arthur Deng, Karsten D. Householder, Fang Wu, K. Christopher Garcia, Brian L. Trippe
2025	J	`jnl`	Predicting mutational effects on protein binding from folding energy. CoRR Arthur Deng, Karsten D. Householder, Fang Wu, Sebastian Thrun, K. Christopher Garcia, Brian L. Trippe
2023	A*	`conf`	Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem. ICLR Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola
2023	A*	`conf`	Gaussian processes at the Helm(holtz): A more fluid model for ocean currents. ICML Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick
2023	J	`jnl`	Gaussian processes at the Helm(holtz): A more fluid model for ocean currents. CoRR Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan Giordano, Kaushik Srinivasan, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick
2023	A*	`conf`	Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. NeurIPS Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham
2023	J	`jnl`	Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. CoRR Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham
2023	A*	`conf`	SE(3) diffusion model with application to protein backbone generation. ICML Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2023	J	`jnl`	SE(3) diffusion model with application to protein backbone generation. CoRR Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2022	J	`jnl`	Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem. CoRR Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola
2022	A	`conf`	Many processors, little time: MCMC for partitions via optimal transport couplings. AISTATS Tin D. Nguyen, Brian L. Trippe, Tamara Broderick
2021	A*	`conf`	For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets. NeurIPS Brian L. Trippe, Hilary K. Finucane, Tamara Broderick
2021	J	`jnl`	For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets. CoRR Brian L. Trippe, Hilary K. Finucane, Tamara Broderick
2019	A*	`conf`	LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations. ICML Brian L. Trippe, Jonathan H. Huggins, Raj Agrawal, Tamara Broderick
2019	J	`jnl`	LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations. CoRR Brian L. Trippe, Jonathan H. Huggins, Raj Agrawal, Tamara Broderick
2019	A*	`conf`	The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions. ICML Raj Agrawal, Brian L. Trippe, Jonathan H. Huggins, Tamara Broderick
2019	J	`jnl`	The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions. CoRR Raj Agrawal, Jonathan H. Huggins, Brian L. Trippe, Tamara Broderick