Nikolay Malkin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
9
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Mixtures of In-Context Learners. | Giwon Hong, Emile van Krieken, Edoardo Maria Ponti, Nikolay Malkin, Pasquale Minervini |
| 2025 | ICLR | Adaptive teachers for amortized samplers. | Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio |
| 2025 | ICLR | Action abstractions for amortized sampling. | Oussama Boussif, Lna Nhale Ezzine, Joseph D. Viviano, Michal Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio |
| 2025 | ICLR | Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. | Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain |
| 2025 | ICLR | PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. | Pablo Lemos, Sammy Nasser Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault Levasseur, Yashar Hezaveh |
| 2025 | ICML | Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models. | Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin |
| 2025 | UAI | Can a Bayesian Oracle Prevent Harm from an Agent? | Yoshua Bengio, Michael K. Cohen, Nikolay Malkin, Matt MacDermott, Damiano Fornasiere, Pietro Greiner, Younesse Kaddar |
| 2024 | AISTATS | Simulation-Free Schrdinger Bridges via Score and Flow Matching. | Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio |
| 2024 | ICLR | Delta-AI: Local objectives for amortized inference in sparse graphical models. | Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio |
| 2024 | ICLR | Amortizing intractable inference in large language models. | Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin |
| 2024 | ICLR | Expected flow networks in stochastic environments and two-player zero-sum games. | Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin |
| 2024 | ICLR | PhyloGFN: Phylogenetic inference with generative flow networks. | Ming-Yang Zhou, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio |
| 2024 | ICML | Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. | 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 |
| 2024 | ICML | Improving Gradient-Guided Nested Sampling for Posterior Inference. | Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur |
| 2024 | UAI | Discrete Probabilistic Inference as Control in Multi-path Environments. | Tristan Deleu, Padideh Nouri, Nikolay Malkin, Doina Precup, Yoshua Bengio |
| 2023 | ACL | ThinkSum: Probabilistic reasoning over sets using large language models. | Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic |
| 2023 | ICLR | GFlowNets and variational inference. | Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio |
| 2023 | ICML | GFlowNet-EM for Learning Compositional Latent Variable Models. | Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio |
| 2023 | ICML | A theory of continuous generative flow networks. | Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernndez-Garca, Lna Nhale Ezzine, Yoshua Bengio, Nikolay Malkin |
| 2023 | ICML | GFlowOut: Dropout with Generative Flow Networks. | 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 |
| 2023 | ICML | Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. | Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin |
| 2023 | ICML | Better Training of GFlowNets with Local Credit and Incomplete Trajectories. | Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio |
| 2022 | ACL | Coherence boosting: When your pretrained language model is not paying enough attention. | Nikolay Malkin, Zhen Wang, Nebojsa Jojic |
| 2022 | ICML | Generative Flow Networks for Discrete Probabilistic Modeling. | Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio |
| 2022 | UAI | Resolving label uncertainty with implicit posterior models. | Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic |
| 2021 | EMNLP | Studying word order through iterative shuffling. | Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic |
| 2021 | IGARSS | From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. | Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz |
| 2021 | NAACL | GPT Perdetry Test: Generating new meanings for new words. | Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic |
| 2020 | ECCV | Mining Self-similarity: Label Super-Resolution with Epitomic Representations. | Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic |