Moksh Jain
16 papers · 2020–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Dynamic Duo
(15)
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Topic Evolution
π§
Keyword Pioneer
ποΈ
Keyword Collector
(74)
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(10)
Models
(10)
Artificial Intelligence
(8)
Learning Types Β· Machine Learning
(8)
Core AI
(6)
Core Methods
(6)
Optimization & Theory
(6)
Reinforcement Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Methods
(3)
Mathematics & Optimization
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Keywords
generative flow network
(8)
reinforcement learning
(7)
variational inference
(5)
generative model
(5)
bayesian inference
(3)
probabilistic modeling
(2)
large language model
(2)
credit assignment
(2)
posterior distribution
(2)
active learning
(2)
trajectory balance
(2)
self-supervised learning
(1)
epistemic uncertainty
(1)
chain-of-thought reasoning
(1)
hierarchical planning
(1)
offline reinforcement learning
(1)
posterior sampling
(1)
anomaly detection
(1)
temporal difference learning
(1)
flow matching
(1)
Papers
Bayesian Symbolic Regression with Entropic Reinforcement Learning
UAI 2026
Action abstractions for amortized sampling
ICLR 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
ICLR 2025
Amortizing intractable inference in diffusion models for vision, language, and control
NeurIPS 2024
Amortizing intractable inference in large language models
ICLR 2024
PhyloGFN: Phylogenetic inference with generative flow networks
ICLR 2024
Pre-Training and Fine-Tuning Generative Flow Networks
ICLR 2024
GFlowNet-EM for Learning Compositional Latent Variable Models
ICML 2023
GFlowOut: Dropout with Generative Flow Networks
ICML 2023
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
ICML 2023
Multi-Objective GFlowNets
ICML 2023
Stochastic Generative Flow Networks
UAI 2023
Biological Sequence Design with GFlowNets
ICML 2022
Trajectory balance: Improved credit assignment in GFlowNets
NeurIPS 2022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
NeurIPS 2021
DROCC: Deep Robust One-Class Classification
ICML 2020