Tomas Geffner - RankMe

41 papers A* 14A 3Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Target Score Matching, with an application to Simulation-Based Inference. CoRR Joohwan Ko, Tomas Geffner
2026	J	`jnl`	Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute. CoRR Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Küçükbenli, Arash Vahdat, Karsten Kreis
2025	A*	`conf`	Adaptive Flow Matching for Resolving Small-Scale Physics. ICML Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2025	A*	`conf`	Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow. ICML Zhonglin Cao, Mario Geiger, Allan dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Küçükbenli
2025	J	`jnl`	Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow. CoRR Zhonglin Cao, Mario Geiger, Allan dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Küçükbenli
2025	A*	`conf`	Energy-Based Diffusion Language Models for Text Generation. ICLR Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
2025	J	`jnl`	La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching. CoRR Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Küçükbenli, Karsten Kreis, Arash Vahdat
2025	J	`jnl`	Learning Straight Flows by Learning Curved Interpolants. CoRR Shiv Shankar, Tomas Geffner
2025	A*	`conf`	ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids. ICLR Hannes Stärk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis
2025	A*	`conf`	Proteina: Scaling Flow-based Protein Structure Generative Models. ICLR Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Küçükbenli, Arash Vahdat, Karsten Kreis
2025	J	`jnl`	Proteina: Scaling Flow-based Protein Structure Generative Models. CoRR Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Küçükbenli, Arash Vahdat, Karsten Kreis
2025	A*	`conf`	Truncated Consistency Models. ICLR Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie
2024	A*	`conf`	Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization. NeurIPS Siyi Gu, Minkai Xu, Alexander S. Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
2024	J	`jnl`	Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization. CoRR Siyi Gu, Minkai Xu, Alexander S. Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
2024	J	`jnl`	Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang
2024	J	`jnl`	Energy-Based Diffusion Language Models for Text Generation. CoRR Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
2024	A	`conf`	Joint control variate for faster black-box variational inference. AISTATS Xi Wang, Tomas Geffner, Justin Domke
2024	J	`jnl`	Stochastic Flow Matching for Resolving Small-Scale Physics. CoRR Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2024	J	`jnl`	Truncated Consistency Models. CoRR Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie
2023	A*	`conf`	Compositional Score Modeling for Simulation-Based Inference. ICML Tomas Geffner, George Papamakarios, Andriy Mnih
2023	A	`conf`	Langevin Diffusion Variational Inference. AISTATS Tomas Geffner, Justin Domke
2022	J	`jnl`	A Dual Control Variate for doubly stochastic optimization and black-box variational inference. CoRR Xi Wang, Tomas Geffner, Justin Domke
2022	J	`jnl`	Deep End-to-end Causal Inference. CoRR Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
2022	J	`jnl`	Langevin Diffusion Variational Inference. CoRR Tomas Geffner, Justin Domke
2022	J	`jnl`	Score Modeling for Simulation-based Inference. CoRR Tomas Geffner, George Papamakarios, Andriy Mnih
2022	A*	`conf`	Variational Inference with Locally Enhanced Bounds for Hierarchical Models. ICML Tomas Geffner, Justin Domke
2022	J	`jnl`	Variational Inference with Locally Enhanced Bounds for Hierarchical Models. CoRR Tomas Geffner, Justin Domke
2021	J	`jnl`	Empirical Evaluation of Biased Methods for Alpha Divergence Minimization. CoRR Tomas Geffner, Justin Domke
2021	A*	`conf`	MCMC Variational Inference via Uncorrected Hamiltonian Annealing. NeurIPS Tomas Geffner, Justin Domke
2021	J	`jnl`	MCMC Variational Inference via Uncorrected Hamiltonian Annealing. CoRR Tomas Geffner, Justin Domke
2021	A*	`conf`	On the difficulty of unbiased alpha divergence minimization. ICML Tomas Geffner, Justin Domke
2020	A	`conf`	A Rule for Gradient Estimator Selection, with an Application to Variational Inference. AISTATS Tomas Geffner, Justin Domke
2020	A*	`conf`	Approximation Based Variance Reduction for Reparameterization Gradients. NeurIPS Tomas Geffner, Justin Domke
2020	J	`jnl`	Approximation Based Variance Reduction for Reparameterization Gradients. CoRR Tomas Geffner, Justin Domke
2020	J	`jnl`	On the Difficulty of Unbiased Alpha Divergence Minimization. CoRR Tomas Geffner, Justin Domke
2019	J	`jnl`	A Rule for Gradient Estimator Selection, with an Application to Variational Inference. CoRR Tomas Geffner, Justin Domke
2018	A*	`conf`	Compact Policies for Fully Observable Non-Deterministic Planning as SAT. ICAPS Tomas Geffner, Hector Geffner
2018	J	`jnl`	Compact Policies for Fully-Observable Non-Deterministic Planning as SAT. CoRR Tomas Geffner, Hector Geffner
2018	A*	`conf`	Using Large Ensembles of Control Variates for Variational Inference. NeurIPS Tomas Geffner, Justin Domke
2018	J	`jnl`	Using Large Ensembles of Control Variates for Variational Inference. CoRR Tomas Geffner, Justin Domke
2015	—	`conf`	Width-Based Planning for General Video-Game Playing. AIIDE Tomas Geffner, Hector Geffner