← Authors

Chinmay Hegde

35 papers · 2007–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) πŸ† Grand Slam πŸ† Keyword Champion 🀝 Dynamic Duo (10) 🌱 Topic Pioneer πŸ’Ž Century Club (35) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (158) πŸ”₯ Unstoppable (11)

Conferences

NIPS (12) ICML (5) ICLR (4) AAAI (3) AISTATS (3) ICCV (2) ALT (1) COLT (1) CVPR (1) IJCAI (1) JMLR (1) WACV (1)

Top co-authors

Soumik Sarkar (10) Aditya Balu (7) Baskar Ganapathysubramanian (5) Benjamin Feuer (5) Niv Cohen (5) Ameya Joshi (4) Piotr Indyk (3) Adarsh Krishnamurthy (3) Zhanhong Jiang (3) Minsu Cho (3)

Research topics

Core AI (1)

Keywords

compressive sensing (5) gradient descent (3) sparse coding (3) generative model (3) compressed sensing (3) sample complexity (3) zero-shot learning (2) signal recovery (2) leverage score sampling (2) sparse recovery (2) dictionary learning (2) distributed training (2) active learning (2) phase retrieval (2) image classification (2) federated learning (2) conditional generation (2) in-context learning (2) agnostic learning (2) decentralized learning (2)

Papers

WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training ICML 2025
LiveBench: A Challenging, Contamination-Limited LLM Benchmark ICLR 2025
Hidden in the Noise: Two-Stage Robust Watermarking for Images ICLR 2025
Leveraging Vision Language Models for Specialized Agricultural Tasks WACV 2025
SEAL: Semantic Aware Image Watermarking ICCV 2025
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing NIPS 2024
Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NIPS 2024
Circumventing Concept Erasure Methods For Text-To-Image Generative Models ICLR 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NIPS 2024
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity NIPS 2024
Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023
On The Computational Complexity of Self-Attention ALT 2023
Implicit Regularization for Group Sparsity ICLR 2023
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking AAAI 2022
Selective Network Linearization for Efficient Private Inference ICML 2022
Implicit Sparse Regularization: The Impact of Depth and Early Stopping NIPS 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Differentiable Spline Approximations NIPS 2021
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors NIPS 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers ICCV 2019
On the Dynamics of Gradient Descent for Autoencoders AISTATS 2019
Provably Accurate Double-Sparse Coding JMLR 2019
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018
On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NIPS 2017
Collaborative Deep Learning in Fixed Topology Networks NIPS 2017
Fast recovery from a union of subspaces NIPS 2016
A Nearly-Linear Time Framework for Graph-Structured Sparsity IJCAI 2016
A Nearly-Linear Time Framework for Graph-Structured Sparsity ICML 2015
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Random Projections for Manifold Learning NIPS 2007