Institution
Indian Institute of Technology Bombay
Education•Mumbai, India•
About: Indian Institute of Technology Bombay is a education organization based out in Mumbai, India. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 16756 authors who have published 33588 publications receiving 570559 citations.
Topics: Catalysis, Computer science, Thin film, Population, Heat transfer
Papers published on a yearly basis
Papers
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Betty Abelev1, A. Abrahantes Quintana, Dagmar Adamová2, Andrew Marshall Adare3 +1004 more•Institutions (82)
TL;DR: The first measurements of the invariant differential cross sections of inclusive pi(0) and eta meson production at mid-rapidity in proton-proton collisions root s = 0.9 TeV and root s= 7 TeV are reported in this paper.
170 citations
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TL;DR: Thermodynamic studies revealed that the biosorption process was favourable, spontaneous and endothermic in nature.
169 citations
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03 Jul 2018TL;DR: MMCE is presented, a RKHS kernel based measure of calibration that is efficiently trainable alongside the negative likelihood loss without careful hyperparameter tuning, and whose finite sample estimates are consistent and enjoy fast convergence rates.
Abstract: Modern neural networks have recently been found to be poorly calibrated, primarily in the direction of over-confidence. Methods like entropy penalty and temperature smoothing improve calibration by clamping confidence, but in doing so compromise the many legitimately confident predictions. We propose a more principled fix that minimizes an explicit calibration error during training. We present MMCE, a RKHS kernel based measure of calibration that is efficiently trainable alongside the negative likelihood loss without careful hyperparameter tuning. Theoretically too, MMCE is a sound measure of calibration that is minimized at perfect calibration, and whose finite sample estimates are consistent and enjoy fast convergence rates. Extensive experiments on several network architectures demonstrate that MMCE is a fast, stable, and accurate method to minimize calibration error metrics while maximally preserving the number of high confidence predictions.
169 citations
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TL;DR: The in vogue N-heterocyclic carbenes have attracted attention largely for its new found popularity in chemical catalysis and also for displaying promising traits in biomedical applications, and the current perspective provides an account of the efforts in exploring the utility of N/O-functionalized N- heterocyclo-carbenes in these two areas.
Abstract: The in vogue N-heterocyclic carbenes (NHCs) have attracted attention largely for its new found popularity in chemical catalysis and also for displaying promising traits in biomedical applications. The current perspective provides an account of our efforts in exploring the utility of N/O-functionalized N-heterocyclic carbenes in these two areas. On the catalysis front, we have employed the N/O-functionalized N-heterocyclic carbene based precatalysts for the C–C and C–N bond forming reactions like the Suzuki–Miyaura, Sonogashira and Hiyama cross-couplings, the base-free Michael addition, the alkene and alkyne hydroamination reactions and the ring-opening polymerization (ROP) of L-lactides that produce biodegradable polylactide polymers while on the biomedical application front, the anticancer and antimicrobial properties of these N/O-functionalized N-heterocyclic carbene complexes were evaluated. Towards this objective, the N-heterocyclic carbene chemistry of a variety of transition metals like Ag, Au, Ni and Pd has been investigated.
169 citations
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TL;DR: In this article, the Timoshenko beam theory is extended to short beams, taking into account the effects of shear deformation and rotational inertia, and representing the crack by a rotational spring.
169 citations
Authors
Showing all 17055 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jovan Milosevic | 152 | 1433 | 106802 |
C. N. R. Rao | 133 | 1646 | 86718 |
Robert R. Edelman | 119 | 605 | 49475 |
Claude Andre Pruneau | 114 | 610 | 45500 |
Sanjeev Kumar | 113 | 1325 | 54386 |
Basanta Kumar Nandi | 112 | 572 | 43331 |
Shaji Kumar | 111 | 1265 | 53237 |
Josep M. Guerrero | 110 | 1197 | 60890 |
R. Varma | 109 | 497 | 41970 |
Vijay P. Singh | 106 | 1699 | 55831 |
Vinayak P. Dravid | 103 | 817 | 43612 |
Swagata Mukherjee | 101 | 1048 | 46234 |
Anil Kumar | 99 | 2124 | 64825 |
Dhiman Chakraborty | 96 | 529 | 44459 |
Michael D. Ward | 95 | 823 | 36892 |