Anuroop Sriram

15 papers · 2016–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 👥 Mega-Team · Legion 👑 Triple Crown 🧬 Topic Evolution 💎 Century Club · Bronze 🗃️ Keyword Collector (87) 🌈 Renaissance Researcher (6)

Venues

Interspeech (5) ICML (4) ICLR (3) NeurIPS (2) CVPR (1)

Top co-authors

Ricky T. Q. Chen (4) Benjamin Kurt Miller (4) Ronan Collobert (3) C. Lawrence Zitnick (3) Brandon M Wood (3) Vineel Pratap (3) Gabriel Synnaeve (3) Awni Hannun (2) Brian Karrer (2) Zachary Ward Ulissi (2)

Research topics

Machine Learning (10) Deep Learning (9) Architectures (5) Models (5) Artificial Intelligence (4) Application Areas (4) Core AI (4) Core Methods (4) Learning Types · Machine Learning (4) Speech & Audio (3) Optimization & Theory (3) Recognition (3) Interdisciplinary (2) Learning Types · Deep Learning (2) Science (2)

Keywords

speech recognition (2) automatic speech recognition (2) force prediction (2) graph neural network (2) flow matching (2) self-supervised learning (2) riemannian flow matching (2) markov chain (1) data augmentation (1) domain generalization (1) graph representation (1) deep learning (1) low-resource language (1) magnetic resonance imaging (1) autoencoders (1) image reconstruction (1) distributed training (1) acoustic model (1) gradient updates (1) language modeling (1)

Papers

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching ICML 2025 All-atom Diffusion Transformers: Unified generative modelling of molecules and materials ICML 2025 Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective ICLR 2025 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text ICLR 2024 FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions NeurIPS 2024 FlowMM: Generating Materials with Riemannian Flow Matching ICML 2024 Spherical Channels for Modeling Atomic Interactions NeurIPS 2022 Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations ICLR 2022 Wav2Vec-Aug: Improved self-supervised training with limited data Interspeech 2022 Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training Interspeech 2021 GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction CVPR 2020 Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters Interspeech 2020 MLS: A Large-Scale Multilingual Dataset for Speech Research Interspeech 2020 Cold Fusion: Training Seq2Seq Models Together with Language Models Interspeech 2018 Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016