10 Gbps transmission over standard category-5 copper cable. - Mohsen Kavehrad; John F. Doherty; Jun Ho Jeong; Arnab Roy 002; Gaurav Malhotra (GLOBECOM, 2003)

Joint MIMO equalization and decoding for 10GBASE-T transmission. - Gaurav Malhotra; Jun Ho Jeong; Mohsen Kavehrad (GLOBECOM, 2004)

BER analysis of high speed links with nonlinearity. - Gaurav Malhotra; Jalil Kamali (ACSSC, 2015)

23.3 A 6Gb/s 3-tap FFE transmitter and 5-tap DFE receiver in 65nm/0.18µm CMOS for next-generation 8K displays. - Mohammad Hekmat; Sanquan Song; Nancy Jaffari; Sabarish Sankaranarayanan; Chaofeng Huang; Minghui Han; Gaurav Malhotra; Jalil Kamali; Amir Amirkhany; Wei Xiong (ISSCC, 2016)

Fast Dynamic Graph Algorithms. - Gaurav Malhotra; Hitish Chappidi; Rupesh Nasre (LCPC, 2017)

The contrasting roles of shape in human vision and convolutional neural networks. - Gaurav Malhotra; Jeffrey S. Bowers (CogSci, 2019)

Symbol spaced clock recovery for high speed links. - Gaurav Malhotra; Jalil Kamali (ICSPCS, 2019)

Adding biological constraints to deep neural networks reduces their capacity to learn unstructured data. - Christian Tsvetkov; Gaurav Malhotra; Benjamin Evans; Jeffrey S. Bowers (CogSci, 2020)

Baud rate pattern-adaptable dual loop clock recovery for high speed serial links. - Gaurav Malhotra; Jalil Kamali; Amir Amirkhany (ACSCC, 2021)

The role of Disentanglement in Generalisation. - Milton Llera Montero; Casimir J. H. Ludwig; Rui Ponte Costa; Gaurav Malhotra; Jeffrey S. Bowers (ICLR, 2021)

Auto-Tag: Tagging-Data-By-Example in Data Lakes. - Yeye He; Jie Song 013; Yue Wang 070; Surajit Chaudhuri; Vishal Anil; Blake Lassiter; Yaron Goland; Gaurav Malhotra (CoRR, 2021)

Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation. - Milton Llera Montero; Jeffrey S. Bowers; Rui Ponte Costa; Casimir J. H. Ludwig; Gaurav Malhotra (NeurIPS, 2022)

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation. - Milton Llera Montero; Jeffrey S. Bowers; Rui Ponte Costa; Casimir J. H. Ludwig; Gaurav Malhotra (CoRR, 2022)

A 5.2 Gb/s Receiver for Next-Generation 8K Displays in 180 nm CMOS Process. - Tianyu Wang 006; Da Wei; Ranick Ng; Gaurav Malhotra; Anup P. Jose; Amir Amirkhany; Pavan Kumar Hanumolu (IEEE J. Solid State Circuits, 2022)

Biological convolutions improve DNN robustness to noise and generalisation. - Benjamin D. Evans; Gaurav Malhotra; Jeffrey S. Bowers (Neural Networks, 2022)

Feature blindness: A challenge for understanding and modelling visual object recognition. - Gaurav Malhotra; Marin Dujmovic; Jeffrey S. Bowers (PLoS Comput. Biol., 2022)

Microsoft Purview: A System for Central Governance of Data. - Shafi Ahmad; Dillidorai Arumugam; Srdan Bozovic; Elnata Degefa; Sailesh Duvvuri; Steven Gott; Nitish Gupta; Joachim Hammer; Nivedita Kaluskar; Raghav Kaushik; Rakesh Khanduja; Prasad Mujumdar; et al. (Proc. VLDB Endow., 2023)

The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data. - Christian Tsvetkov; Gaurav Malhotra; Benjamin D. Evans; Jeffrey S. Bowers (Neural Networks, 2023)

On the importance of severely testing deep learning models of cognition. - Jeffrey S. Bowers; Gaurav Malhotra; Federico Adolfi; Marin Dujmovic; Milton Llera Montero; Valerio Biscione; Guillermo Puebla; John E. Hummel; Rachel F. Heaton (Cogn. Syst. Res., 2023)

MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. - Valerio Biscione; Dong Yin; Gaurav Malhotra; Marin Dujmovic; Milton Llera Montero; Guillermo Puebla; Federico Adolfi; Rachel F. Heaton; John E. Hummel; Benjamin D. Evans; Karim Habashy; Jeffrey S. Bowers (CoRR, 2024)

Successes and Limitations of Object-centric Models at Compositional Generalisation. - Milton L. Montero; Jeffrey S. Bowers; Gaurav Malhotra (CoRR, 2024)