Moksh Jain
15 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (4)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π€
Dynamic Duo
(14)
ποΈ
Keyword Collector
(54)
β‘
Prolific Year
(5)
π
Trend Setter
π
Century Club
(15)
π₯
Unstoppable
(6)
Conferences
ICML (6)
ICLR (5)
NIPS (3)
UAI (1)
Top co-authors
Keywords
generative model
(5)
variational inference
(4)
generative flow network
(4)
reinforcement learning
(3)
probabilistic modeling
(2)
trajectory balance
(2)
active learning
(2)
flow matching
(1)
diverse sampling
(1)
text-to-image generation
(1)
expectation maximization
(1)
epistemic uncertainty
(1)
offline reinforcement learning
(1)
deep learning
(1)
posterior inference
(1)
bayesian inference
(1)
posterior distribution
(1)
protein sequence
(1)
protein design
(1)
markov chain monte carlo
(1)
Papers
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
NIPS 2024
PhyloGFN: Phylogenetic inference with generative flow networks
ICLR 2024
Pre-Training and Fine-Tuning Generative Flow Networks
ICLR 2024
Amortizing intractable inference in large language models
ICLR 2024
Stochastic Generative Flow Networks
UAI 2023
GFlowNet-EM for Learning Compositional Latent Variable Models
ICML 2023
Multi-Objective GFlowNets
ICML 2023
GFlowOut: Dropout with Generative Flow Networks
ICML 2023
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
ICML 2023
Trajectory balance: Improved credit assignment in GFlowNets
NIPS 2022
Biological Sequence Design with GFlowNets
ICML 2022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
NIPS 2021
DROCC: Deep Robust One-Class Classification
ICML 2020