Rob Brekelmans

41 papers A* 11A 2Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discrete Stochastic Localization for Non-autoregressive Generation. CoRR Yunshu Wu, Jiayi Cheng, Partha Thakuria, Rob Brekelmans, Evangelos E. Papalexakis, Greg Ver Steeg
2026	J	`jnl`	Generation Order and Parallel Decoding in Masked Diffusion Models: An Information-Theoretic Perspective. CoRR Shaorong Zhang, Longxuan Yu, Rob Brekelmans, Luhan Tang, Salman Asif, Greg Ver Steeg
2026	J	`jnl`	Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics. CoRR Nima Shoghi, Yuxuan Liu, Yuning Shen, Rob Brekelmans, Pan Li, Quanquan Gu
2025	A*	`conf`	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. ICML Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2025	J	`jnl`	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. CoRR Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2025	J	`jnl`	Local MAP Sampling for Diffusion Models. CoRR Shaorong Zhang, Rob Brekelmans, Greg Ver Steeg
2025	J	`jnl`	Measurement-aligned Flow for Inverse Problem. CoRR Shaorong Zhang, Rob Brekelmans, Yunshu Wu, Greg Ver Steeg
2025	J	`jnl`	Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference. CoRR Stephen Zhao, Aidan Li, Rob Brekelmans, Roger B. Grosse
2024	A*	`conf`	A Computational Framework for Solving Wasserstein Lagrangian Flows. ICML Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani
2024	A*	`conf`	Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling. NeurIPS Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noé, Carla P. Gomes, Alán Aspuru-Guzik, Kirill Neklyudov
2024	J	`jnl`	Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling. CoRR Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noé, Carla P. Gomes, Alán Aspuru-Guzik, Kirill Neklyudov
2024	J	`jnl`	Generalized Flow Matching for Transition Dynamics Modeling. CoRR Haibo Wang, Yuxuan Qiu, Yanze Wang, Rob Brekelmans, Yuanqi Du
2024	A*	`conf`	Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo. ICML Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Baker Grosse
2024	J	`jnl`	Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo. CoRR Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger B. Grosse
2023	J	`jnl`	A Computational Framework for Solving Wasserstein Lagrangian Flows. CoRR Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani
2023	A*	`conf`	Action Matching: Learning Stochastic Dynamics from Samples. ICML Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani
2023	J	`jnl`	Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. CoRR Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger B. Grosse, Alireza Makhzani
2023	A*	`conf`	Information-Theoretic Diffusion. ICLR Xianghao Kong, Rob Brekelmans, Greg Ver Steeg
2023	J	`jnl`	Information-Theoretic Diffusion. CoRR Xianghao Kong, Rob Brekelmans, Greg Ver Steeg
2022	A*	`conf`	Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. ICLR Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani
2022	J	`jnl`	Rho-Tau Bregman Information and the Geometry of Annealing Paths. CoRR Rob Brekelmans, Frank Nielsen
2022	J	`jnl`	Your Policy Regularizer is Secretly an Adversary. CoRR Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro A. Ortega
2022	J	`jnl`	Your Policy Regularizer is Secretly an Adversary. Trans. Mach. Learn. Res. Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro A. Ortega
2021	J	`jnl`	Model-Free Risk-Sensitive Reinforcement Learning. CoRR Grégoire Delétang, Jordi Grau-Moya, Markus Kunesch, Tim Genewein, Rob Brekelmans, Shane Legg, Pedro A. Ortega
2021	J	`jnl`	q-Paths: Generalizing the Geometric Annealing Path using Power Means. CoRR Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2021	A	`conf`	q-Paths: Generalizing the geometric annealing path using power means. UAI Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2020	A*	`conf`	All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. ICML Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
2020	J	`jnl`	All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. CoRR Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
2020	J	`jnl`	Annealed Importance Sampling with q-Paths. CoRR Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen
2020	A*	`conf`	Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective. NeurIPS Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
2020	J	`jnl`	Gaussian Process Bandit Optimization of theThermodynamic Variational Objective. CoRR Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
2020	J	`jnl`	Likelihood Ratio Exponential Families. CoRR Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
2019	A	`conf`	Auto-Encoding Total Correlation Explanation. AISTATS Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
2019	J	`jnl`	Discovery and Separation of Features for Invariant Representation Learning. CoRR Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
2019	A*	`conf`	Exact Rate-Distortion in Autoencoders via Echo Noise. NeurIPS Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
2019	J	`jnl`	Exact Rate-Distortion in Autoencoders via Echo Noise. CoRR Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
2018	J	`jnl`	Auto-Encoding Total Correlation Explanation. CoRR Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
2018	J	`jnl`	Evading the Adversary in Invariant Representation. CoRR Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
2018	A*	`conf`	Invariant Representations without Adversarial Training. NeurIPS Daniel Moyer, Shuyang Gao, Rob Brekelmans, Aram Galstyan, Greg Ver Steeg
2017	J	`jnl`	Disentangled Representations via Synergy Minimization. CoRR Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
2017	—	`conf`	Disentangled representations via synergy minimization. Allerton Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan