Automatic Practice Logging: Introduction, Dataset & Preliminary Study. - R. Michael Winters; Siddharth Gururani; Alexander Lerch 001 (ISMIR, 2016)

Automatic Sample Detection in Polyphonic Music. - Siddharth Gururani; Alexander Lerch 001 (ISMIR, 2017)

Objective Descriptors for the Assessment of Student Music Performances. - Amruta Vidwans; Siddharth Gururani; Chih-Wei Wu; Vinod Subramanian; Rupak Swaminathan; Alexander Lerch 001 (Semantic Audio, 2017)

Instrument Activity Detection in Polyphonic Music using Deep Neural Networks. - Siddharth Gururani; Cameron Summers; Alexander Lerch 001 (ISMIR, 2018)

An Attention Mechanism for Musical Instrument Recognition. - Siddharth Gururani; Mohit Sharma; Alexander Lerch 001 (ISMIR, 2019)

Music Performance Analysis: A Survey. - Alexander Lerch 001; Claire Arthur; Ashis Pati; Siddharth Gururani (ISMIR, 2019)

Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features. - Siddharth Gururani; Kilol Gupta; Dhaval Shah; Zahra Shakeri; Jervis Pinto (CoRR, 2019)

Score-informed Networks for Music Performance Assessment. - Jiawen Huang; Yun-Ning Hung; Ashis Pati; Siddharth Kumar Gururani; Alexander Lerch 001 (ISMIR, 2020)

dMelodies: A Music Dataset for Disentanglement Learning. - Ashis Pati; Siddharth Kumar Gururani; Alexander Lerch 001 (ISMIR, 2020)

Visual Attention for Musical Instrument Recognition. - Karn Watcharasupat; Siddharth Gururani; Alexander Lerch 001 (CoRR, 2020)

An Interdisciplinary Review of Music Performance Analysis. - Alexander Lerch 001; Claire Arthur; Ashis Pati; Siddharth Gururani (Trans. Int. Soc. Music. Inf. Retr., 2020)

Semi-Supervised Audio Classification with Partially Labeled Data. - Siddharth Gururani; Alexander Lerch 001 (ISM, 2021)

Weakly Supervised Learning for Musical Instrument Classification. - Siddharth Kumar Gururani (2021)

Anomalous behaviour in loss-gradient based interpretability methods. - Vinod Subramanian; Siddharth Gururani; Emmanouil Benetos; Mark B. Sandler (CoRR, 2022)

SPACEx: Speech-driven Portrait Animation with Controllable Expression. - Siddharth Gururani; Arun Mallya; Ting-Chun Wang; Rafael Valle; Ming-Yu Liu 001 (CoRR, 2022)

SPACE: Speech-driven Portrait Animation with Controllable Expression. - Siddharth Gururani; Arun Mallya; Ting-Chun Wang; Rafael Valle; Ming-Yu Liu 001 (ICCV, 2023)

RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech. - Rohan Badlani; Rafael Valle; Kevin J. Shih; João Felipe Santos; Siddharth Gururani; Bryan Catanzaro (INTERSPEECH, 2023)

Multilingual Multiaccented Multispeaker TTS with RADTTS. - Rohan Badlani; Rafael Valle; Kevin J. Shih; João Felipe Santos; Siddharth Gururani; Bryan Catanzaro (CoRR, 2023)

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. - Yujia Huang; Adishree Ghatare; Yuanzhe Liu 001; Ziniu Hu; Qinsheng Zhang; Chandramouli Shama Sastry; Siddharth Gururani; Sageev Oore; Yisong Yue (ICML, 2024)

ExpressiveSinger: Multilingual and Multi-Style Score-based Singing Voice Synthesis with Expressive Performance Control. - Shuqi Dai; Ming-Yu Liu 001; Rafael Valle; Siddharth Gururani (ACM Multimedia, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - Yuval Atzmon; Maciej Bala; Yogesh Balaji; Tiffany Cai; Yin Cui; Jiaojiao Fan; Yunhao Ge; Siddharth Gururani; Jacob Samuel Huffman; Ronald Isaac; Pooya Jannaty; Tero Karras; et al. (CoRR, 2024)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - Alisson G. Azzolini; Hannah Brandon; Prithvijit Chattopadhyay; Huayu Chen; Jinju Chu; Yin Cui; Jenna Diamond; Yifan Ding; Francesco Ferroni; Rama Govindaraju; Jinwei Gu; Siddharth Gururani; et al. (CoRR, 2025)