36 citations · 93 across the 17 of their papers we have counts for
20 papers
Random Separating Hyperplane Theorem and Learning Polytopes
Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
The Separating Hyperplane theorem is a fundamental result in Convex Geometry with myriad applications. Our first result, Random Separating Hyperplane Theorem (RSH), is a strengthen…
BNSynth: Bounded Boolean Functional Synthesis
Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya +2
The automated synthesis of correct-by-construction Boolean functions from logical specifications is known as the Boolean Functional Synthesis (BFS) problem. BFS has many applicatio…
Shot-frugal and Robust quantum kernel classifiers
Abhay Shastry, Abhijith Jayakumar, Apoorva Patel +1
Quantum kernel methods are a candidate for quantum speed-ups in supervised machine learning. The number of quantum measurements N required for a reasonable kernel estimate is a cri…
Rawlsian Fair Adaptation of Deep Learning Classifiers
Kulin Shah, Pooja Gupta, Amit Deshpande +1
Group-fairness in classification aims for equality of a predictive utility across different sensitive sub-populations, e.g., race or gender. Equality or near-equality constraints i…
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah +5
Accurate reconstruction of static environments from LiDAR scans of scenes containing dynamic objects, which we refer to as Dynamic to Static Translation (DST), is an important area…
Learning a Latent Simplex in Input-Sparsity Time
Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan +2
We consider the problem of learning a latent -vertex simplex , given access to , which can be viewed as a data matrix with …