activity
20182026
most citedLearning Activation Functions: A new paradigm for understanding Neural Networks

50 citations · 53 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

GRIT -- Geometry-Aware PEFT with K-FACPreconditioning, Fisher-Guided Reprojection, andDynamic Rank Adaptation

Pritish Saha, Chandrav Rajbangshi, Rudra Goyal +6

Parameter-efficient fine-tuning (PEFT) is the default way to adapt LLMs, but widely used LoRA and QLoRA are largely geometry-agnostic: they optimize in fixed, randomly oriented low…

cs.CV2025

MapTrace: Scalable Data Generation for Route Tracing on Maps

Artemis Panagopoulou, Aveek Purohit, Achin Kulshrestha +2

While Multimodal Large Language Models have achieved human-like performance on many visual and textual reasoning tasks, their proficiency in fine-grained spatial understanding, suc…

cs.CV2021★ 1 cited

Human Hands as Probes for Interactive Object Understanding

Mohit Goyal, Sahil Modi, Rishabh Goyal +1

Interactive object understanding, or what we can do to objects and how is a long-standing goal of computer vision. In this paper, we tackle this problem through observation of huma…

cs.LG2019★ 1 cited

DZip: improved general-purpose lossless compression based on novel neural network modeling

Mohit Goyal, Kedar Tatwawadi, Shubham Chandak +1

We consider lossless compression based on statistical data modeling followed by prediction-based encoding, where an accurate statistical model for the input data leads to substanti…

cs.LG2019★ 50 cited

Learning Activation Functions: A new paradigm for understanding Neural Networks

Mohit Goyal, Rajan Goyal, Brejesh Lall

The scope of research in the domain of activation functions remains limited and centered around improving the ease of optimization or generalization quality of neural networks (NNs…

cs.CL2018

DeepZip: Lossless Data Compression using Recurrent Neural Networks

Mohit Goyal, Kedar Tatwawadi, Shubham Chandak +1

Sequential data is being generated at an unprecedented pace in various forms, including text and genomic data. This creates the need for efficient compression mechanisms to enable…

cs.SD2018★ 1 cited

Detection of Glottal Closure Instants from Raw Speech using Convolutional Neural Networks

Mohit Goyal, Varun Srivastava, Prathosh A. P

Glottal Closure Instants (GCIs) correspond to the temporal locations of significant excitation to the vocal tract occurring during the production of voiced speech. GCI detection fr…