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Moksh Jain

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.IR1
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedProximal Policy Optimization for Improved Convergence in IRGAN

1 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 1 cited

Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions

Chanakya Ekbote, Moksh Jain, Payel Das +1

Generative Flow Networks (GFlowNets) have demonstrated significant performance improvements for generating diverse discrete objects x given a reward function R(x), indicating t…

q-bio.BM2022

Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection

Bonaventure F. P. Dossou, Dianbo Liu, Xu Ji +5

As antibiotic-resistant bacterial strains are rapidly spreading worldwide, infections caused by these strains are emerging as a global crisis causing the death of millions of peopl…

cs.LG2020

DROCC: Deep Robust One-Class Classification

Sachin Goyal, Aditi Raghunathan, Moksh Jain +2

Classical approaches for one-class problems such as one-class SVM and isolation forest require careful feature engineering when applied to structured domains like images. State-of-…

cs.IR2019★ 1 cited

Proximal Policy Optimization for Improved Convergence in IRGAN

Moksh Jain, Sowmya Kamath S

IRGAN is an information retrieval (IR) modeling approach that uses a theoretical minimax game between a generative and a discriminative model to iteratively optimize both of them,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.