activity
20222026
most citedZeroSwap: Data-driven Optimal Market Making in DeFi

2 citations · 2 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AI2026

MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs

Kevin Wang, Anna Thöni, Benjamin Kempinski +50

Large language models (LLMs) are increasingly deployed as interactive agents, yet their capacity for social and strategic reasoning over extended interaction remains poorly underst…

cs.CE2026

ParlayMarket: Automated Market Making for Parlay-style Joint Contracts

Ranvir Rana, Viraj Nadkarni, Niusha Moshrefi +1

Prediction markets are powerful mechanisms for information aggregation, but existing designs are optimized for single-event contracts. Traders frequently express beliefs about join…

econ.TH2025

Automated Market Making for Energy Sharing

Michele Fabi, Viraj Nadkarni, Leonardo Leone +1

We develop an axiomatic theory for Automated Market Makers (AMMs) in local energy sharing markets and analyze the Markov Perfect Equilibrium of the resulting economy with a Mean-Fi…

econ.TH2025

Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi

Viraj Nadkarni, Pramod Viswanath

We present the first formal treatment of \emph{yield tokenization}, a mechanism that decomposes yield-bearing assets into principal and yield components to facilitate risk transfer…

cs.SI2024

AgileRate: Bringing Adaptivity and Robustness to DeFi Lending Markets

Mahsa Bastankhah, Viraj Nadkarni, Xuechao Wang +1

Decentralized Finance (DeFi) has revolutionized lending by replacing intermediaries with algorithm-driven liquidity pools. However, existing platforms like Aave and Compound rely o…

cs.CE2024

Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol

Mahsa Bastankhah, Viraj Nadkarni, Xuechao Wang +3

Decentralized finance (DeFi) borrowing and lending platforms are crucial to the decentralized economy, involving two main participants: lenders who provide assets for interest and…

eess.SY2024

Adaptive Curves for Optimally Efficient Market Making

Viraj Nadkarni, Sanjeev Kulkarni, Pramod Viswanath

Automated Market Makers (AMMs) are essential in Decentralized Finance (DeFi) as they match liquidity supply with demand. They function through liquidity providers (LPs) who deposit…

cs.LG2024

Influencing Bandits: Arm Selection for Preference Shaping

Viraj Nadkarni, D. Manjunath, Sharayu Moharir

We consider a non stationary multi-armed bandit in which the population preferences are positively and negatively reinforced by the observed rewards. The objective of the algorithm…

cs.LG2023★ 2 cited

ZeroSwap: Data-driven Optimal Market Making in DeFi

Viraj Nadkarni, Jiachen Hu, Ranvir Rana +3

Automated Market Makers (AMMs) are major centers of matching liquidity supply and demand in Decentralized Finance. Their functioning relies primarily on the presence of liquidity p…

cs.IT2022

CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family

S Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva +3

Polar codes are widely used state-of-the-art codes for reliable communication that have recently been included in the 5th generation wireless standards (5G). However, there remains…