165 citations · 180 across the 14 of their papers we have counts for
15 papers
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering
Suparshva Jain, Amit Sangroya, Lovekesh Vig
Generating multiple counterfactual explanations for different modes within a class presents a significant challenge, as these modes are distinct yet converge under the same classif…
DBRouting: Routing End User Queries to Databases for Answerability
Priyangshu Mandal, Manasi Patwardhan, Mayur Patidar +1
Enterprise level data is often distributed across multiple sources and identifying the correct set-of data-sources with relevant information for a knowledge request is a fundamenta…
Acceleron: A Tool to Accelerate Research Ideation
Harshit Nigam, Manasi Patwardhan, Lovekesh Vig +1
Several tools have recently been proposed for assisting researchers during various stages of the research life-cycle. However, these primarily concentrate on tasks such as retrievi…
How important are specialized transforms in Neural Operators?
Ritam Majumdar, Shirish Karande, Lovekesh Vig
Simulating physical systems using Partial Differential Equations (PDEs) has become an indispensible part of modern industrial process optimization. Traditionally, numerical solvers…
HyperLoRA for PDEs
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar +3
Physics-informed neural networks (PINNs) have been widely used to develop neural surrogates for solutions of Partial Differential Equations. A drawback of PINNs is that they have t…
Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting
Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam +3
Cross-domain and cross-compositional generalization of Text-to-SQL semantic parsing is a challenging task. Existing Large Language Model (LLM) based solutions rely on inference-tim…