Scholar
Chinmay Hegde
Google Scholar ID: eJAV17IAAAAJ
New York University
Citations & Impact
Citations
4,109
H-index
33
i10-index
83
Publications
20
Co-authors
182
list available
Publications
Resume (English only)
Academic Achievements
- Co-authored with P. Yubeaton et al., 'Verithoughts: Enabling automated verilog code generation using reasoning and formal verification' accepted by NeurIPS Datasets and Benchmarks.
- Co-authored with K. Lu et al., 'When Are Concepts Erased From Diffusion Models?' accepted by NeurIPS.
- Co-authored with K. Arabi et al., 'SEAL: Semantic Aware Image Watermarking' accepted by ICCV.
- Co-authored with A. Rabeh et al., 'Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries' to appear in Nature Communications Engineering.
- Co-authored with M. Shadkah et al., 'MPFBench: A Large Scale Dataset for SciML of Multi-Phase Flows: Droplet and Bubble Dynamics' accepted by Journal of Data-Centric Machine Learning Research (DMLR).
- Co-authored with G. Mittal et al., 'PITCH: AI-Assisted Tagging of Deepfake Audio Using Challenge-Response' accepted by ACM Asia Conference on Computer and Communications Security (ASIACCS).
- Co-authored with N. Amsel et al., 'Query Efficient Structured Matrix Learning' completed in July 2025.
- Co-authored with B. Feuer, 'WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training' accepted by International Conference on Machine Learning (ICML).
- Co-authored with S. Banerjee et al., 'FaceCloak: Learning to Protect Face Templates' accepted by IEEE International Conference on Automatic Face and Gesture Recognition (FG).
- Co-authored with R. Tali et al., 'FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries' accepted by Journal of Data-Centric Machine Learning Research (DMLR).
- Co-authored with G. Mittal et al., 'WavePulse: Real-time Content Analytics of Radio Livestreams' accepted by The Web Conference (WWW).
- Co-authored with K. Arabi et al., 'Hidden in the Noise: Two-Stage Robust Watermarking for Images' accepted by International Conference on Learning Representations (ICLR).
- Co-authored with C. White et al., 'LiveBench: A Challenging, Contamination-Free LLM Benchmark' accepted by International Conference on Learning Representations (ICLR).
- Co-authored with J. Waite et al., 'RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception' accepted by International Conference on Cyber-Physical Systems (ICCPS).
- Co-authored with B. Feuer et al., 'BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity' accepted by AAAI Workshop on AI for Science and Engineering (AI2ASE).
- Co-authoring with M. A. Arshad et al., research on 'Leveraging Vision Language Models for Specialized Agriculture' is ongoing.
Research Experience
- Published multiple papers in various international conferences and journals, including NeurIPS, ICCV, ICML, etc.
Background
- Associate Professor at NYU Tandon.
