Chinmay Hegde

Query Efficient Structured Matrix Learning COLT 2026 Hidden in the Noise: Two-Stage Robust Watermarking for Images ICLR 2025 Leveraging Vision Language Models for Specialized Agricultural Tasks WACV 2025 LiveBench: A Challenging, Contamination-Limited LLM Benchmark ICLR 2025 SEAL: Semantic Aware Image Watermarking ICCV 2025 WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training ICML 2025 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity NeurIPS 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 SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NeurIPS 2024 Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing NeurIPS 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 Implicit Regularization for Group Sparsity ICLR 2023 On The Computational Complexity of Self-Attention ALT 2023 MDPGT: Momentum-Based Decentralized Policy Gradient Tracking AAAI 2022 Selective Network Linearization for Efficient Private Inference ICML 2022 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021 Differentiable Spline Approximations NeurIPS 2021 Implicit Sparse Regularization: The Impact of Depth and Early Stopping NeurIPS 2021 InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020 Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020 Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors NeurIPS 2019 On the Dynamics of Gradient Descent for Autoencoders AISTATS 2019 Provably Accurate Double-Sparse Coding JMLR 2019 Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers ICCV 2019 On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018 Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018 Collaborative Deep Learning in Fixed Topology Networks NeurIPS 2017 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NeurIPS 2017 A Nearly-Linear Time Framework for Graph-Structured Sparsity IJCAI 2016 Fast recovery from a union of subspaces NeurIPS 2016 A Nearly-Linear Time Framework for Graph-Structured Sparsity ICML 2015 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Random Projections for Manifold Learning NeurIPS 2007