43 citations · 64 across the 10 of their papers we have counts for
12 papers
Bayesian Neural Networks via Dirichlet Process Priors on the Data-Generating Distribution for Randomized Value Functions in Deep Reinforcement Learning
Sumit Vashishtha
Bayesian neural networks (BNNs) offer a principled framework for quantifying epistemic uncertainty. However, standard weight-space priors yield complex, high-dimensional neural net…
Dimension-Free PAC-Bayes Generalization for Deep Neural Networks via Dirichlet Processes
Sumit Vashishtha
Classical PAC-Bayesian generalization theory places prior distributions over Euclidean parameter space , causing relative entropy to scale with network dim…
Search for charged long-lived particles at the Future Circular Collider (FCC-ee)
Soumyaa Vashishtha, Maximilian Emanuel Goblirsch-Kolb, Mirindra Randriamanantena +3
Long-lived particles (LLPs) have emerged as a compelling signature of physics beyond the standard model, offering unique discovery opportunities at current and future colliders. We…
Measurement of the top quark pair production cross section in PbPb collisions at = 5.36 TeV
CMS Collaboration
The inclusive cross section for top quark pair () production in lead-lead (PbPb) collisions is reported for the first time at a center-of-mass energy per nucleon…
Search for a new heavy resonance decaying to a top quark and a neutral scalar boson in proton-proton collisions at = 13 TeV
CMS Collaboration
A first search at the LHC for a new heavy resonance decaying to a top quark and a neutral scalar boson in the fully hadronic final state is presented, where the boson is id…
Search for Higgs boson production at high transverse momentum in the WW decay channel in proton-proton collisions at = 13 TeV
CMS Collaboration
A search for Higgs boson (H) production at high transverse momentum () in the WW decay channel is presented. The analysis uses proton-proton collisions at …
Observation of the jet diffusion wake using dijets in heavy ion collisions
CMS Collaboration
Energetic quarks and gluons traversing a hot and dense quark-gluon plasma deposit energy and momentum into the medium before hadronizing to collimated sprays of particles, known as…
Leveraging priors on distribution functions for multi-arm bandits
Sumit Vashishtha, Odalric-Ambrym Maillard
We introduce Dirichlet Process Posterior Sampling (DPPS), a Bayesian non-parametric algorithm for multi-arm bandits based on Dirichlet Process (DP) priors. Like Thompson-sampling,…
Bistability in the sunspot cycle
Sumit Vashishtha, Katepalli R Sreenivasan
A direct dynamical test of the sunspot-cycle is carried out which indicates that a stochastically forced non-linear oscillator characterizes its dynamics. The sunspot series is the…
Restoring Chaos Using Deep Reinforcement Learning
Sumit Vashishtha, Siddhartha Verma
A catastrophic bifurcation in non-linear dynamical systems, called crisis, often leads to their convergence to an undesirable non-chaotic state after some initial chaotic transient…
Large eddy simulations of turbulent thermal convection using renormalized viscosity and thermal diffusivity
Sumit Vashishtha, Mahendra K. Verma
In this paper we employ renormalized viscosity and thermal diffusivity to construct a subgrid-scale model for large eddy simulation (LES) of turbulent thermal convection. For LES,…
Large eddy simulations using renormalized viscosity
Sumit Vashishtha, Anando Chatterjee, Abhishek Kumar +1
In this paper, we have used renormalized viscosity for performing large eddy simulations (LES) of decaying homogeneous and isotropic turbulence inside a periodic cube on coarse gri…