On the Performance of new Higher Order Transformation Functions for Highly Efficient Dense Layers. - Atharva Gundawar; Srishti Lodha; V. Vijayarajan; Balaji Iyer; V. B. Surya Prasath (Neural Process. Lett., 2023)

Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. - Atharva Gundawar; Mudit Verma; Lin Guan 003; Karthik Valmeekam; Siddhant Bhambri; Subbarao Kambhampati (CoRR, 2024)

Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout. - Atharva Gundawar; Yuchao Li; Dimitri P. Bertsekas (CoRR, 2024)

Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1. - Karthik Valmeekam; Kaya Stechly; Atharva Gundawar; Subbarao Kambhampati (CoRR, 2024)

Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach. - Atharva Gundawar; Karthik Valmeekam; Mudit Verma; Subbarao Kambhampati (CoRR, 2024)

A Systematic Evaluation of the Planning and Scheduling Abilities of the Reasoning Model o1. - Karthik Valmeekam; Kaya Stechly; Atharva Gundawar; Subbarao Kambhampati (Trans. Mach. Learn. Res., 2025)

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. - Divyansh Garg; Shaun VanWeelden; Diego Caples; Andis Draguns; Nikil Ravi; Pranav Putta; Naman Garg; Tomas Abraham; Michael Lara; Federico Lopez; James Liu; Atharva Gundawar; et al. (CoRR, 2025)

Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens. - Kaya Stechly; Karthik Valmeekam; Atharva Gundawar; Vardhan Palod; Subbarao Kambhampati (CoRR, 2025)

PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies? - Atharva Gundawar; Som Sagar; Ransalu Senanayake (CoRR, 2025)