Malkin, Nikolay
- Improving and generalizing flow-based generative models with minibatch optimal transport
2023/02/01 by Alexander Tong, Kilian Fatras, Tong, Alexander +13 · 201 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Model Reduction and Neural Networks
- Machine learning and information theory concepts towards an AI Mathematician
2024/03/07 by Yoshua Bengio, Bengio, Yoshua, Nikolay Malkin +1 · 4 voices · 3 citations
Computer Science · #Neural Networks and Applications
- Trajectory balance: Improved credit assignment in GFlowNets
2022/01/31 by Nikolay Malkin, Malkin, Nikolay, Moksh Jain +7 · 35 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- V-STaR: Training Verifiers for Self-Taught Reasoners
2024/02/09 by Arian Hosseini, Xingdi Yuan, Hosseini, Arian +9 · 33 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
- Diffusion models as plug-and-play priors
2022/06/17 by Graikos, Alexandros, Malkin, Nikolay, Jojic, Nebojsa +1 · 19 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
2024/02/09 by Tara Akhound-Sadegh, Jarrid Rector-Brooks, Akhound-Sadegh, Tara +21 · 21 citations
Computer Science · Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Learning GFlowNets from partial episodes for improved convergence and stability
2022/09/26 by Kanika Madan, Madan, Kanika, Jarrid Rector-Brooks +15 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Amortizing intractable inference in large language models
2023/10/06 by J. Edward Hu, Edward J. Hu, Hu, Edward J. +12 · 1 voice · 13 citations
Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Computational and Text Analysis Methods
- Simulation-free Schrödinger bridges via score and flow matching
2023/07/07 by Tong, Alexander, Malkin, Nikolay, Fatras, Kilian +5 · 13 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Generative Flow Networks for Discrete Probabilistic Modeling
2022/02/03 by Dinghuai Zhang, Nikolay Malkin, Zhang, Dinghuai +9 · 10 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- GFlowNets and variational inference
2022/10/02 by Malkin, Nikolay, Lahlou, Salem, Deleu, Tristan +5 · 10 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Better Training of GFlowNets with Local Credit and Incomplete Trajectories
2023/02/03 by Ling Pan, Pan, Ling, Nikolay Malkin +5 · 10 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Learning diverse attacks on large language models for robust red-teaming and safety tuning
2024/05/28 by Seanie Lee, Lee, Seanie, Minsu Kim +19 · 14 citations
Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Topic Modeling #Web Application Security Vulnerabilities
- Amortizing intractable inference in diffusion models for vision, language, and control
2024/05/31 by Siddarth Venkatraman, Moksh Jain, Venkatraman, Siddarth +27 · 12 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- A theory of continuous generative flow networks
2023/01/30 by Salem Lahlou, Tristan Deleu, Lahlou, Salem +15 · 7 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improved off-policy training of diffusion samplers
2024/02/07 by Sendera, Marcin, Kim, Minsu, Mittal, Sarthak +6 · 8 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Coherence boosting: When your pretrained language model is not paying enough attention
2021/10/15 by Nikolay Malkin, Malkin, Nikolay, Zhen Wang +3 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- GFlowOut: Dropout with Generative Flow Networks
2022/10/24 by Dianbo Liu, Moksh Jain, Liu, Dianbo +23 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
2023/05/26 by Dinghuai Zhang, Zhang, Dinghuai, Hanjun Dai +9 · 4 citations
Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Data Quality and Management
- Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
2023/05/30 by Tristan Deleu, Mizu Nishikawa-Toomey, Deleu, Tristan +9 · 4 citations
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Discrete Probabilistic Inference as Control in Multi-path Environments
2024/02/15 by Tristan Deleu, Deleu, Tristan, Padideh Nouri +7 · 5 citations
Computer Science · #Advanced Database Systems and Queries #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Mixtures of In-Context Learners
2024/11/05 by Giwon Hong, Emile van Krieken, Hong, Giwon +8 · 2 voices · 3 citations
Psychology · #Learning Styles and Cognitive Differences
- PhyloGFN: Phylogenetic inference with generative flow networks
2023/10/12 by Mingyang Zhou, Zhou, Mingyang, Zichao Yan +13 · 3 citations
Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #FOS: Biological sciences #FOS: Computer and information sciences #Genetic diversity and population structure #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Populations and Evolution (q-bio.PE)
- Adaptive teachers for amortized samplers
2024/10/02 by Minsu Kim, Kim, Minsu, Sanghyeok Choi +17 · 5 citations
Mathematics · #Statistics Education and Methodologies
- PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
2024/02/06 by Lemos, Pablo, Sharief, Sammy, Malkin, Nikolay +4 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Discrete, compositional, and symbolic representations through attractor dynamics
2023/10/03 by Andrew Nam, Nam, Andrew, Eric Elmoznino +9 · 2 voices · 1 citation
Neuroscience · Computer Science · #Neural dynamics and brain function #Neural Networks and Applications #Neural Networks and Reservoir Computing
- From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
2025/01/10 by Julius Berner, Lorenz Richter, Berner, Julius +7 · 5 citations
Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Biology Tumor Growth
- Improving Gradient-guided Nested Sampling for Posterior Inference
2023/12/06 by Lemos, Pablo, Malkin, Nikolay, Handley, Will +3 · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- GFlowNet-EM for learning compositional latent variable models
2023/02/13 by Hu, Edward J., Malkin, Nikolay, Jain, Moksh +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- ThinkSum: Probabilistic reasoning over sets using large language models
2022/10/04 by Batu Ozturkler, Nikolay Malkin, Ozturkler, Batu +5 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- BatchGFN: Generative Flow Networks for Batch Active Learning
2023/06/26 by Shreshth A. Malik, Salem Lahlou, Malik, Shreshth A. +13 · 1 citation
Computer Science · Physics and Astronomy · #Machine Learning and Algorithms #Neural Networks and Applications #Model Reduction and Neural Networks
- Thompson sampling for improved exploration in GFlowNets
2023/06/30 by Rector-Brooks, Jarrid, Madan, Kanika, Jain, Moksh +5 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models
2025/02/10 by Siddarth Venkatraman, Mohsin Hasan, Venkatraman, Siddarth +13 · 3 citations
Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Action abstractions for amortized sampling
2024/10/19 by Oussama Boussif, Boussif, Oussama, Léna Néhale Ezzine +16 · 1 voice · 1 citation
Computer Science · #Topological and Geometric Data Analysis #cs.AI #cs.LG
- On Generalization for Generative Flow Networks
2024/07/03 by Anas Krichel, Nikolay Malkin, Krichel, Anas +5 · 1 citation
Computer Science · Decision Sciences · Engineering · #Advanced Database Systems and Queries #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scheduling and Optimization Algorithms #Simulation Techniques and Applications
- Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
2025/09/30 by Venkatraman, Siddarth, Jain, Vineet, Mittal, Sarthak +9 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Resolving label uncertainty with implicit posterior models
2022/02/28 by Esther Rolf, Rolf, Esther, Nikolay Malkin +9 · 1 citation
Computer Science · #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Music and Audio Processing
- Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
2025/05/02 by Andreas Sochopoulos, Nikolay Malkin, Sochopoulos, Andreas +9 · 2 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Micro and Nano Robotics #Neural Networks and Reservoir Computing #Robotics (cs.RO)
- Posterior samples of source galaxies in strong gravitational lenses with score-based priors
2022/11/07 by Alexandre Adam, Adam, Alexandre, Adam Coogan +11 · 1 citation
Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Gaussian Processes and Bayesian Inference #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG)