Rishikesh Gajjala

I am a Founding researcher at Pramaana Labs. Prior to this, I spent a wonderful decade doing theoretical computer science across NYU Abu Dhabi, IISc Bengaluru, and IIT Delhi for my postdoc, PhD, and bachelor’s degree, respectively. I enjoy pushing LLMs to their limits on math.

Rishikesh Gajjala

Publications

Author names are alphabetical unless noted otherwise, following common practice in theory venues.

Filter by topic 23 papers
Legend (venues in alphabetical ordering): ALENEX: SIAM Symposium on Algorithm Engineering and Experiments; AISTATS: International Conference on Artificial Intelligence and Statistics; CCCG: Canadian Conference on Computational Geometry; DCC: Data Compression Conference; DistributedML: Workshop on Distributed Machine Learning; E-JC: The Electronic Journal of Combinatorics; FSTTCS: IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science; ISAAC: International Symposium on Algorithms and Computation; JCTA: Journal of Combinatorial Theory, Series A; MFCS: International Symposium on Mathematical Foundations of Computer Science; Quantum: Quantum journal; SAT: International Conference on Theory and Applications of Satisfiability Testing; STOC: ACM Symposium on Theory of Computing.
Title Authors Venue Year
Counterexamples to Wegner's Conjecture for Rectangles
with Deepak Ajwani, Rajiv Raman and Saurabh Ray PreprintDisproves a 60-year-old conjecture 2026
Random Garbage Separates XOR from Forward-Only Queries
with Khaled Elbassioni and Saurabh Ray PreprintSolves Aaronson's Open Problem 11 2026
Tight UGC Thresholds for Geometric Stabbing Problems
with Khaled Elbassioni and Saurabh Ray PreprintCloses a 25-year approximation gap 2026
Two-copy nondistillability of Werner states: sharp partial-trace inequalities and finite-copy extensions
with Kishor Bharti and Tobias Haug PreprintSolves KCiK Golden Award problem 2026
On Erdős's Multiplicative Representation Problem
Proof and Lean Formalization by GPT-5.6 Sol Lean FormalizationErdos 796 2026
W-state graphs: Structure and Algorithms
with Saurabh Ray and Dimitrios M. Thilikos Preprint 2026
On the smallest antichain that generates an ideal of a given size
with L. Sunil Chandran and Kuldeep S. Meel JCTA 2026
Edge-coloured graphs with only monochromatic perfect matchings and their connection to quantum physics
with L. Sunil Chandran E-JCQuantum-Graph Best-Paper Award 2026
Geometric Graph Representations via Compact SAT Encodings
with L. Sunil Chandran, Suraj Kumar Sahoo and Aatman Supkar ALENEX 2026
Towards Learning-Guided Discovery of Extremal Geometric Constructions: A PatternBoost Study
with Deepak Ajwani, Paula Carroll, Ananta Manoranjan, Rajiv Raman, Ryan O'Connor, Saurabh Ray and Aimen Taha ALENEX 2026
Counterexamples to an Extremal Conjecture for Random Cycle-Factors
single-authored ISAAC 2026
Connectivity bounds for GHZ graphs
with L. Sunil Chandran FSTTCS 2026
CNFs and DNFs with exactly n solutions
with L. Sunil Chandran and Kuldeep Meel SAT 2025
No distributed quantum advantage for approximate graph coloring
with Xavier Coiteux-Roy, Francesco d'Amore, Fabian Kuhn, François Le Gall, Henrik Lievonen, Augusto Modanese, Marc-Olivier Renou, Gustav Schmid and Jukka Suomela STOC 2024
Graph-theoretic insights on the constructability of complex entangled states
with L. Sunil Chandran Quantum 2024
Graph reduction approach to Krenn-Gu conjecture
with L. Sunil Chandran and Abraham M. Illickan MFCS 2024
Two Results on LPT: A Near-Linear Time Algorithm and Parcel Delivery using Drones
with L. Sunil Chandran, Shravan Mehra, Saladi Rahul FSTTCS 2024
Improved upper bounds for the Heilbronn’s Problem for k-gons
with Jayanth Ravi CCCG 2024
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
with Arnab Bhattacharyya, Davin Choo, Sutanu Gayen and Yuhao Wang AISTATS 2022
Generalizations of Length Limited Huffman Coding for Hierarchical Memory Settings
with Shashwat Banchhor, Yogish Sabharwal and Sandeep Sen FSTTCS 2021
Efficient algorithms for decode efficient prefix codes
with Shashwat Banchhor, Yogish Sabharwal and Sandeep Sen DCC 2021
Decode-Efficient Prefix Codes for Hierarchical Memory Models
with Shashwat Banchhor, Yogish Sabharwal and Sandeep Sen DCC 2020
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning
with Shashwat Banchhor, Ahmed Sayed, Aritra Dutta, Marco Canini, Panos Kalnis DistributedML 2020

Selected presentations

Talks

Krenn-Gu conjecture for sparse graphs

Mathematical Foundations of Computer Science (MFCS), Slovakia · Slides

No distributed quantum advantage for approximate graph coloring

EECS Research Symposium · Winner of Best Presentation Award

Community

Service

Reviewer

ICALP ’23, NeurIPS ’23, ICML ’24, IWOCA ’24, FOCS ’24, SODA ’25 and NeurIPS ’25.

Teaching Assistant

  • Quantum Computing at NYU Abu Dhabi
  • Graph Theory and Design & Analysis of Algorithms at IISc Bengaluru
  • Introduction to Parallel Programming at IIT Delhi

Mentoring

  • Abraham M. Illickan (MFCS 2024, IIT Palakkad → UC Irvine)
  • Jayanth Ravi (CCCG 2024, IIT Delhi)
  • Shravan Mehra (FSTTCS 2024, IISc Bangalore → Univ. of Birmingham)