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Nikolay Malkin
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2020 – today
- 2024
- [j2]Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio:
Improving and generalizing flow-based generative models with minibatch optimal transport. Trans. Mach. Learn. Res. 2024 (2024) - [c25]Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio:
Simulation-Free Schrödinger Bridges via Score and Flow Matching. AISTATS 2024: 1279-1287 - [c24]Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio:
Delta-AI: Local objectives for amortized inference in sparse graphical models. ICLR 2024 - [c23]Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin:
Amortizing intractable inference in large language models. ICLR 2024 - [c22]Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin:
Expected flow networks in stochastic environments and two-player zero-sum games. ICLR 2024 - [c21]Ming-Yang Zhou, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio:
PhyloGFN: Phylogenetic inference with generative flow networks. ICLR 2024 - [c20]Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong:
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. ICML 2024 - [c19]Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur:
Improving Gradient-Guided Nested Sampling for Posterior Inference. ICML 2024 - [i42]Pablo Lemos, Sammy Sharief, Nikolay Malkin, Laurence Perreault Levasseur
, Yashar Hezaveh
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. CoRR abs/2402.04355 (2024) - [i41]Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. CoRR abs/2402.05098 (2024) - [i40]Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong:
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. CoRR abs/2402.06121 (2024) - [i39]Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal:
V-STaR: Training Verifiers for Self-Taught Reasoners. CoRR abs/2402.06457 (2024) - [i38]Tristan Deleu, Padideh Nouri, Nikolay Malkin, Doina Precup, Yoshua Bengio:
Discrete Probabilistic Inference as Control in Multi-path Environments. CoRR abs/2402.10309 (2024) - [i37]Yoshua Bengio, Nikolay Malkin:
Machine learning and information theory concepts towards an AI Mathematician. CoRR abs/2403.04571 (2024) - [i36]Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain:
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR abs/2405.18540 (2024) - [i35]Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Amortizing intractable inference in diffusion models for vision, language, and control. CoRR abs/2405.20971 (2024) - [i34]Anas Krichel, Nikolay Malkin, Salem Lahlou, Yoshua Bengio:
On Generalization for Generative Flow Networks. CoRR abs/2407.03105 (2024) - [i33]Yoshua Bengio, Michael K. Cohen, Nikolay Malkin, Matt MacDermott, Damiano Fornasiere, Pietro Greiner, Younesse Kaddar:
Can a Bayesian Oracle Prevent Harm from an Agent? CoRR abs/2408.05284 (2024) - [i32]Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio:
Adaptive teachers for amortized samplers. CoRR abs/2410.01432 (2024) - [i31]Matthew Ho, Vincent Zhu, Xiaoyin Chen, Moksh Jain, Nikolay Malkin, Edwin Zhang:
Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning. CoRR abs/2410.13224 (2024) - [i30]Oussama Boussif, Léna Néhale Ezzine, Joseph D. Viviano, Michal Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio:
Action abstractions for amortized sampling. CoRR abs/2410.15184 (2024) - [i29]Giwon Hong, Emile van Krieken, Edoardo M. Ponti, Nikolay Malkin, Pasquale Minervini:
Mixtures of In-Context Learners. CoRR abs/2411.02830 (2024) - 2023
- [c18]Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
ThinkSum: Probabilistic reasoning over sets using large language models. ACL (1) 2023: 1216-1239 - [c17]Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio:
GFlowNets and variational inference. ICLR 2023 - [c16]Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio:
GFlowNet-EM for Learning Compositional Latent Variable Models. ICML 2023: 13528-13549 - [c15]Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin:
A theory of continuous generative flow networks. ICML 2023: 18269-18300 - [c14]Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio:
GFlowOut: Dropout with Generative Flow Networks. ICML 2023: 21715-21729 - [c13]Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin:
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. ICML 2023: 23467-23483 - [c12]Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio:
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. ICML 2023: 26878-26890 - [c11]Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio:
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network. NeurIPS 2023 - [c10]Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan:
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets. NeurIPS 2023 - [i28]Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin:
A theory of continuous generative flow networks. CoRR abs/2301.12594 (2023) - [i27]Alexander Tong
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport. CoRR abs/2302.00482 (2023) - [i26]Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio:
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. CoRR abs/2302.01687 (2023) - [i25]Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio:
GFlowNet-EM for learning compositional latent variable models. CoRR abs/2302.06576 (2023) - [i24]Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan:
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets. CoRR abs/2305.17010 (2023) - [i23]Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio:
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network. CoRR abs/2305.19366 (2023) - [i22]Shreshth A. Malik, Salem Lahlou, Andrew Jesson, Moksh Jain, Nikolay Malkin, Tristan Deleu, Yoshua Bengio, Yarin Gal:
BatchGFN: Generative Flow Networks for Batch Active Learning. CoRR abs/2306.15058 (2023) - [i21]Jarrid Rector-Brooks, Kanika Madan, Moksh Jain, Maksym Korablyov, Cheng-Hao Liu, Sarath Chandar, Nikolay Malkin, Yoshua Bengio:
Thompson sampling for improved exploration in GFlowNets. CoRR abs/2306.17693 (2023) - [i20]Alexander Tong
Simulation-free Schrödinger bridges via score and flow matching. CoRR abs/2307.03672 (2023) - [i19]Andrew Nam, Eric Elmoznino, Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie:
Discrete, compositional, and symbolic representations through attractor dynamics. CoRR abs/2310.01807 (2023) - [i18]Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio:
Delta-AI: Local objectives for amortized inference in sparse graphical models. CoRR abs/2310.02423 (2023) - [i17]Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin:
Expected flow networks in stochastic environments and two-player zero-sum games. CoRR abs/2310.02779 (2023) - [i16]Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin:
Amortizing intractable inference in large language models. CoRR abs/2310.04363 (2023) - [i15]Mingyang Zhou, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio:
PhyloGFN: Phylogenetic inference with generative flow networks. CoRR abs/2310.08774 (2023) - [i14]Pablo Lemos, Nikolay Malkin, Will Handley
Improving Gradient-guided Nested Sampling for Posterior Inference. CoRR abs/2312.03911 (2023) - 2022
- [j1]Zhuohong Li
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1643-1655 (2022) - [c9]Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
Coherence boosting: When your pretrained language model is not paying enough attention. ACL (1) 2022: 8214-8236 - [c8]Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio:
Generative Flow Networks for Discrete Probabilistic Modeling. ICML 2022: 26412-26428 - [c7]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion Models as Plug-and-Play Priors. NeurIPS 2022 - [c6]Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio:
Trajectory balance: Improved credit assignment in GFlowNets. NeurIPS 2022 - [c5]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. UAI 2022: 1707-1717 - [i13]Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio:
Trajectory Balance: Improved Credit Assignment in GFlowNets. CoRR abs/2201.13259 (2022) - [i12]Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio:
Generative Flow Networks for Discrete Probabilistic Modeling. CoRR abs/2202.01361 (2022) - [i11]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. CoRR abs/2202.14000 (2022) - [i10]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion models as plug-and-play priors. CoRR abs/2206.09012 (2022) - [i9]Dinghuai Zhang, Ricky T. Q. Chen, Nikolay Malkin, Yoshua Bengio:
Unifying Generative Models with GFlowNets. CoRR abs/2209.02606 (2022) - [i8]Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin:
Learning GFlowNets from partial episodes for improved convergence and stability. CoRR abs/2209.12782 (2022) - [i7]Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio:
GFlowNets and variational inference. CoRR abs/2210.00580 (2022) - [i6]Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
ThinkSum: Probabilistic reasoning over sets using large language models. CoRR abs/2210.01293 (2022) - [i5]Dianbo Liu, Moksh Jain, Bonaventure Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio:
GFlowOut: Dropout with Generative Flow Networks. CoRR abs/2210.12928 (2022) - [i4]Alexandre Adam, Adam Coogan, Nikolay Malkin, Ronan Legin, Laurence Perreault Levasseur
Posterior samples of source galaxies in strong gravitational lenses with score-based priors. CoRR abs/2211.03812 (2022) - 2021
- [c4]Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic:
Studying word order through iterative shuffling. EMNLP (1) 2021: 10351-10366 - [c3]Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz:
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. IGARSS 2021: 270-273 - [c2]Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic:
GPT Perdetry Test: Generating new meanings for new words. NAACL-HLT 2021: 5542-5553 - [i3]Nikolay Malkin, Caleb Robinson, Nebojsa Jojic:
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. CoRR abs/2101.01154 (2021) - [i2]Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic:
Studying word order through iterative shuffling. CoRR abs/2109.04867 (2021) - [i1]Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
Boosting coherence of language models. CoRR abs/2110.08294 (2021) - 2020
- [c1]Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic:
Mining Self-similarity: Label Super-Resolution with Epitomic Representations. ECCV (26) 2020: 531-547
Coauthor Index
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